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WIP: Add Merlin concepts information #731

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Define the important terms of the DAG.

One important source of information: https://nvidia-merlin.github.io/core/main/api/index.html

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https://nvidia-merlin.github.io/Merlin/review/pr-731

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GitHub pull request #731 of commit ee0b9f24fa965e1409bb92f0b6136173f2c619f8, no merge conflicts.
Running as SYSTEM
Setting status of ee0b9f24fa965e1409bb92f0b6136173f2c619f8 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/615/ and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_merlin
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/731/*:refs/remotes/origin/pr/731/* # timeout=10
 > git rev-parse ee0b9f24fa965e1409bb92f0b6136173f2c619f8^{commit} # timeout=10
Checking out Revision ee0b9f24fa965e1409bb92f0b6136173f2c619f8 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f ee0b9f24fa965e1409bb92f0b6136173f2c619f8 # timeout=10
Commit message: "Add information about the Merlin DAG"
 > git rev-list --no-walk bae3ccb8c0509ce844a280228943b5e1c73c49bb # timeout=10
[merlin_merlin] $ /bin/bash /tmp/jenkins15860298526554598114.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.8,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.8,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.0.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.5.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.3,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-dataloader==0.0.2,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,nvtabular @ git+https://github.com/NVIDIA-Merlin/NVTabular.git@ba4c14159a8e858c8998d4158a4376e65a8fa266,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='4160785107'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-twpyciv4
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-twpyciv4
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit f23adcb079ec74d15f74c492fbd6a3af19742f5c
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+12.gf23adcb) (2.22.0)
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+12.gf23adcb) (1.1.1)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+12.gf23adcb) (0.3.0+12.g78ecddd)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (21.3)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (0.55.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (7.0.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (3.19.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (1.10.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (2022.3.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (1.3.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (4.64.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (1.2.5)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (0.4.3)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (2.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (2022.5.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (5.4.1)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (2.4.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (5.8.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (3.1.2)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (6.1)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (8.1.3)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (1.0.4)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (2.0.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (1.7.0)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (1.20.3)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.5/34.5 MB 117.3 MB/s eta 0:00:00
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (65.5.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+12.gf23adcb) (4.0.0)
Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+12.gf23adcb-py3-none-any.whl size=92208 sha256=647da03e5f30b38d71eccd4d12cd266fe40c90cc2c24036b6f401f324c207368
  Stored in directory: /tmp/pip-ephem-wheel-cache-1wwbgezt/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+12.gf23adcb
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-prssiubr
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-prssiubr
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit 04597b9277b49c8470aa389f77b7e86eeab5d1a9
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+42.g04597b92) (0.3.0+12.g78ecddd)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (21.3)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (0.55.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (7.0.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (3.19.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (1.10.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (2022.3.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (1.3.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (4.64.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (1.2.5)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (0.4.3)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (2.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (2022.5.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (5.4.1)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (2.4.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (5.8.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (3.1.2)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (6.1)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (8.1.3)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (1.0.4)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (2.0.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (1.7.0)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (1.20.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (0.38.1)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (65.5.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+42.g04597b92) (4.0.0)
Building wheels for collected packages: merlin-models
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+42.g04597b92-py3-none-any.whl size=364940 sha256=2d46fc0c02be287085875a2ce53d1452edc2760999cd842151269605be78acf9
  Stored in directory: /tmp/pip-ephem-wheel-cache-wta_nf3x/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-models-0.9.0+42.g04597b92
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-pjyr5mgy
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-pjyr5mgy
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit ba4c14159a8e858c8998d4158a4376e65a8fa266
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-dataloader>=0.0.2 in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+4.gba4c1415) (0.0.2)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+4.gba4c1415) (1.8.1)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+4.gba4c1415) (0.3.0+12.g78ecddd)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (21.3)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (0.55.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (7.0.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (3.19.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (1.10.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (2022.3.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (1.3.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (4.64.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (1.2.5)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+4.gba4c1415) (1.20.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (0.4.3)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (2.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (2022.5.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (5.4.1)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (2.4.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (5.8.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (3.1.2)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (6.1)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (8.1.3)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (1.0.4)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (2.0.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (1.7.0)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (0.38.1)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (65.5.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+4.gba4c1415) (4.0.0)
Building wheels for collected packages: nvtabular
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+4.gba4c1415-cp38-cp38-linux_x86_64.whl size=257596 sha256=58f69c90de14eb2012526384d2de3df140d49f99039249c4636baa8ce82783a2
  Stored in directory: /tmp/pip-ephem-wheel-cache-3amnpntz/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
Successfully built nvtabular
Installing collected packages: nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed nvtabular-1.6.0+4.gba4c1415
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-m_sr71ev
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-m_sr71ev
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit eb606d54fa2ddcbb7e4d0e6501ab2eb418c7fba9
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+11.geb606d5) (4.64.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+11.geb606d5) (21.3)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+11.geb606d5) (0.55.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+11.geb606d5) (7.0.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+11.geb606d5) (3.19.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+11.geb606d5) (1.10.0)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+11.geb606d5) (2022.5.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+11.geb606d5) (1.2.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+11.geb606d5) (1.3.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+11.geb606d5) (2022.3.0)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+11.geb606d5) (2022.3.0)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.8.0+11.geb606d5) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.8.0+11.geb606d5) (0.4.3)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (2.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (5.4.1)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (2.4.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (5.8.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (3.1.2)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (6.1)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (8.1.3)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (1.0.4)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (2.0.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (1.7.0)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+11.geb606d5) (1.20.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+11.geb606d5) (0.38.1)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+11.geb606d5) (65.5.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.8.0+11.geb606d5) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.8.0+11.geb606d5) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.8.0+11.geb606d5) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.8.0+11.geb606d5) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.8.0+11.geb606d5) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.8.0+11.geb606d5) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.8.0+11.geb606d5) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.8.0+11.geb606d5) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.8.0+11.geb606d5) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.8.0+11.geb606d5) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.8.0+11.geb606d5) (4.0.0)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.8.0+11.geb606d5-py3-none-any.whl size=118619 sha256=7f41e168db5243e66cca001d687a741ef63f6b56ba38959d7dc81ad3bae69511
  Stored in directory: /tmp/pip-ephem-wheel-cache-b3eks9qs/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.8.0+11.geb606d5
test-gpu run-test: commands[4] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py .      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py .               [100%]


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       356    215    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          195    108    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   122     15    88%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     29    79%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     24    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    146    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      1    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      4    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     27    73%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  147     56    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     38    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     97    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     38    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    157    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          603    344    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     20    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     78    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     16    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      1    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                               379    113    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/dataframe_iter.py                         21     17    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/tf_utils.py                               57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/utils.py                                  40     15    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   70      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49      8    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                             99     75    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     169     89    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    107    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 244    108    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    151    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              175    121    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                104     69    34%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     71    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                60     36    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39      4    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    154    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    268    148    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               756    340    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    108    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     22    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        101     54    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    63     14    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       282    212    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         158     75    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31      8    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     31    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     34    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       209     53    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      6    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                                57     13    77%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46     20    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      4    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               24      8    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77     27    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               126     53    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79     32    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51     12    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           67     22    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50     12    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/workflow.py                             65     19    71%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           54      5    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                 140     47    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     12    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          119     67    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    210    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     14    81%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/init.py                            22     20     9%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py                               113     14    88%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/hugectr.py                             37     29    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/pytorch.py                             10      6    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/tensorflow.py                          32     13    59%


TOTAL                                                                                                 14817   6921    53%


======================== 3 passed in 338.80s (0:05:38) =========================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

___________________________________ summary ____________________________________

test-gpu: commands succeeded

congratulations :)

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_merlin] $ /bin/bash /tmp/jenkins8565603947428675334.sh

@nvidia-merlin-bot
Copy link
Contributor

Click to view CI Results
GitHub pull request #731 of commit 5470be37ee0ae1c463b6101a3efc81779087467b, no merge conflicts.
Running as SYSTEM
Setting status of 5470be37ee0ae1c463b6101a3efc81779087467b to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/634/ and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_merlin
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/731/*:refs/remotes/origin/pr/731/* # timeout=10
 > git rev-parse 5470be37ee0ae1c463b6101a3efc81779087467b^{commit} # timeout=10
Checking out Revision 5470be37ee0ae1c463b6101a3efc81779087467b (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 5470be37ee0ae1c463b6101a3efc81779087467b # timeout=10
Commit message: "Add information about the Merlin DAG"
 > git rev-list --no-walk 569a99c8ceb1b85db960ee601127e51a05eabf94 # timeout=10
[merlin_merlin] $ /bin/bash /tmp/jenkins11454089186025869004.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.12,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.12,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.0.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.5.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-dataloader==0.0.2,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,nvtabular @ git+https://github.com/NVIDIA-Merlin/NVTabular.git@21117cfc4c113b30036afcb97b6daa5f377996db,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='3562382237'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-o0g0532k
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-o0g0532k
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit 10cd31c23ea417817b827f8695493bdd26ea0948
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+17.g10cd31c) (0.3.0+12.g78ecddd)
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+17.g10cd31c) (2.22.0)
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+17.g10cd31c) (1.1.1)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2022.3.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (0.55.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.10.0)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (4.64.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.3.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.2.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (3.19.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2022.5.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (0.12.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (6.1)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (5.8.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (8.1.3)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.0.4)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2.0.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (3.1.2)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.5/34.5 MB 95.6 MB/s eta 0:00:00
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (65.5.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (6.0.1)
Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+17.g10cd31c-py3-none-any.whl size=94038 sha256=c51bfcf4619e49ff99990345bbd12bca729eb42f7eb664837251772dbc13d971
  Stored in directory: /tmp/pip-ephem-wheel-cache-sbmcqvj4/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+17.g10cd31c
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-c0a03xlu
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-c0a03xlu
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit f0805ad747c1ac783e60068ab22fb4980020c090
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+47.gf0805ad7) (0.3.0+12.g78ecddd)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2022.3.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (0.55.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.10.0)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (4.64.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.3.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.2.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (3.19.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2022.5.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (0.12.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (6.1)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (5.8.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (8.1.3)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.0.4)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2.0.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (3.1.2)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (0.38.1)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (65.5.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (6.0.1)
Building wheels for collected packages: merlin-models
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+47.gf0805ad7-py3-none-any.whl size=365946 sha256=e076b1bcb2dc88daabed5b96c536b7c82d3f11aa8e2ecf8bea0eb29df469cd9a
  Stored in directory: /tmp/pip-ephem-wheel-cache-1p5ab72_/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-models-0.9.0+47.gf0805ad7
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-w_s9mng4
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-w_s9mng4
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 21117cfc4c113b30036afcb97b6daa5f377996db
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+5.g21117cfc) (0.3.0+12.g78ecddd)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+5.g21117cfc) (1.8.1)
Requirement already satisfied: merlin-dataloader>=0.0.2 in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+5.g21117cfc) (0.0.2)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2022.3.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (0.55.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.10.0)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (4.64.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.3.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.2.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (3.19.5)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+5.g21117cfc) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2022.5.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (0.12.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (6.1)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (5.8.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (8.1.3)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.0.4)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2.0.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (3.1.2)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (0.38.1)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (65.5.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (6.0.1)
Building wheels for collected packages: nvtabular
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+5.g21117cfc-cp38-cp38-linux_x86_64.whl size=257596 sha256=f87e73aaa6385412e6bab7a12d577927e3ff93c54b5d98d6f2cbadacfc9d1c84
  Stored in directory: /tmp/pip-ephem-wheel-cache-yjmm1o52/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
Successfully built nvtabular
Installing collected packages: nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed nvtabular-1.6.0+5.g21117cfc
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-9rcv2fd_
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-9rcv2fd_
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit b298635ce3991007a4961896e21779f6a45348e0
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+14.gb298635) (0.55.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+14.gb298635) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+14.gb298635) (1.10.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+14.gb298635) (4.64.1)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+14.gb298635) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+14.gb298635) (7.0.0)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+14.gb298635) (2022.5.0)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+14.gb298635) (2022.3.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+14.gb298635) (1.3.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+14.gb298635) (1.2.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+14.gb298635) (3.19.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.8.0+14.gb298635) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.8.0+14.gb298635) (1.2.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.8.0+14.gb298635) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.8.0+14.gb298635) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.8.0+14.gb298635) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.8.0+14.gb298635) (0.12.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (6.1)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (5.8.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (8.1.3)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (1.0.4)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (2.0.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (3.1.2)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+14.gb298635) (0.38.1)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+14.gb298635) (65.5.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+14.gb298635) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.8.0+14.gb298635) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.8.0+14.gb298635) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.8.0+14.gb298635) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.8.0+14.gb298635) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.8.0+14.gb298635) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.8.0+14.gb298635) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.8.0+14.gb298635) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.8.0+14.gb298635) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.8.0+14.gb298635) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.8.0+14.gb298635) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.8.0+14.gb298635) (6.0.1)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.8.0+14.gb298635-py3-none-any.whl size=118651 sha256=b3dff38ee48fff8d6f315366a51e1a27514ef179c24f17c7ab3c052ae19f959c
  Stored in directory: /tmp/pip-ephem-wheel-cache-riuw7pu1/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.8.0+14.gb298635
test-gpu run-test: commands[4] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py .      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py .               [100%]


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       356    215    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          195    108    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   122     15    88%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     29    79%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     24    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    146    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      1    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      4    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     27    73%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  147     56    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     38    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     97    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     38    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    161    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          603    344    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     29    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     81    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     16    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      1    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                               379    113    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/dataframe_iter.py                         21     17    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/tf_utils.py                               57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/utils.py                                  40     15    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   70      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49      8    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                             99     75    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     169     89    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    107    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 244    108    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    151    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              175    121    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                104     69    34%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     71    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                60     36    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39      4    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    154    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    268    148    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               756    340    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    108    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     22    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        101     54    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    63     14    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       282    212    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         158     75    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31     10    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     31    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     34    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       209     53    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      6    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               122     49    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46     20    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      4    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               24      8    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77     27    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     46    61%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79     32    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51     12    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           67     22    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50     12    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/workflow.py                             65     19    71%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           54      5    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                 140     47    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     12    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143     74    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    210    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     14    81%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/init.py                            22     20     9%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py                               113     14    88%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/hugectr.py                             37     29    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/pytorch.py                             10      6    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/tensorflow.py                          32     13    59%


TOTAL                                                                                                 14898   6975    53%


======================== 3 passed in 339.74s (0:05:39) =========================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

/usr/local/lib/python3.8/dist-packages/coverage/data.py:130: CoverageWarning: Couldn't use data file '/var/jenkins_home/workspace/merlin_merlin/merlin/.coverage.10.20.17.231.20979.265376': database disk image is malformed

data._warn(str(exc))

/usr/local/lib/python3.8/dist-packages/coverage/data.py:130: CoverageWarning: Data file '/var/jenkins_home/workspace/merlin_merlin/merlin/.coverage.10.20.17.231.20984.618768' doesn't seem to be a coverage data file: cannot unpack non-iterable NoneType object

data._warn(str(exc))

___________________________________ summary ____________________________________

test-gpu: commands succeeded

congratulations :)

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_merlin] $ /bin/bash /tmp/jenkins8155960852566438438.sh

@mikemckiernan mikemckiernan changed the title WIP: Add information about the Merlin DAG WIP: Add Merlin concepts information Nov 18, 2022
@mikemckiernan mikemckiernan added the documentation Improvements or additions to documentation label Nov 18, 2022
@nvidia-merlin-bot
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Click to view CI Results
GitHub pull request #731 of commit 8e953fea1fff39b6ce3f3f781d2fc8f95e6a8b8e, no merge conflicts.
Running as SYSTEM
Setting status of 8e953fea1fff39b6ce3f3f781d2fc8f95e6a8b8e to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/635/ and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_merlin
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/731/*:refs/remotes/origin/pr/731/* # timeout=10
 > git rev-parse 8e953fea1fff39b6ce3f3f781d2fc8f95e6a8b8e^{commit} # timeout=10
Checking out Revision 8e953fea1fff39b6ce3f3f781d2fc8f95e6a8b8e (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 8e953fea1fff39b6ce3f3f781d2fc8f95e6a8b8e # timeout=10
Commit message: "Add stub topics"
 > git rev-list --no-walk 5470be37ee0ae1c463b6101a3efc81779087467b # timeout=10
[merlin_merlin] $ /bin/bash /tmp/jenkins4623343208128903093.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.12,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.12,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.0.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.5.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-dataloader==0.0.2,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,nvtabular @ git+https://github.com/NVIDIA-Merlin/NVTabular.git@21117cfc4c113b30036afcb97b6daa5f377996db,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='3791959737'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-u3yo5vu4
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-u3yo5vu4
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit 10cd31c23ea417817b827f8695493bdd26ea0948
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+17.g10cd31c) (1.1.1)
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+17.g10cd31c) (2.22.0)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+17.g10cd31c) (0.3.0+12.g78ecddd)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.3.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (0.55.1)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.10.0)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (4.64.1)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2022.5.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2.2.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (5.8.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.7.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2.0.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (6.1)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (8.1.3)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2.4.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.0.4)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.5/34.5 MB 89.5 MB/s eta 0:00:00
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (65.5.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2.8.2)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+17.g10cd31c) (4.0.0)
Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+17.g10cd31c-py3-none-any.whl size=94038 sha256=6fafea8dc1021d634b6df5cba7409c003e6c9878e68371b67c48ade64d2be442
  Stored in directory: /tmp/pip-ephem-wheel-cache-_esr_bpv/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+17.g10cd31c
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-ci3ts9td
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-ci3ts9td
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit f0805ad747c1ac783e60068ab22fb4980020c090
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+47.gf0805ad7) (0.3.0+12.g78ecddd)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.3.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (0.55.1)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.10.0)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (4.64.1)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2022.5.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2.2.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (5.8.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.7.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2.0.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (6.1)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (8.1.3)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2.4.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.0.4)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (0.38.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (65.5.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2.8.2)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+47.gf0805ad7) (4.0.0)
Building wheels for collected packages: merlin-models
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+47.gf0805ad7-py3-none-any.whl size=365946 sha256=938ee54dc610472d21e984c58b0876727d2b1b82beb36ee7aefd337ad4675e39
  Stored in directory: /tmp/pip-ephem-wheel-cache-pxreoucj/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-models-0.9.0+47.gf0805ad7
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-aphqy6_i
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-aphqy6_i
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 21117cfc4c113b30036afcb97b6daa5f377996db
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-dataloader>=0.0.2 in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+5.g21117cfc) (0.0.2)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+5.g21117cfc) (1.8.1)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+5.g21117cfc) (0.3.0+12.g78ecddd)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.3.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (0.55.1)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.10.0)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (4.64.1)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+5.g21117cfc) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2022.5.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2.2.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (5.8.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.7.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2.0.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (6.1)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (8.1.3)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2.4.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.0.4)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (0.38.1)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (65.5.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2.8.2)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+5.g21117cfc) (4.0.0)
Building wheels for collected packages: nvtabular
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+5.g21117cfc-cp38-cp38-linux_x86_64.whl size=257596 sha256=0105c166e9de1d272e613074b220ec287b15960caf0c332862b1db2f9a732c27
  Stored in directory: /tmp/pip-ephem-wheel-cache-q3mvpjw4/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
Successfully built nvtabular
Installing collected packages: nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed nvtabular-1.6.0+5.g21117cfc
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-u5twdiup
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-u5twdiup
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit b298635ce3991007a4961896e21779f6a45348e0
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+14.gb298635) (2022.3.0)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+14.gb298635) (2022.3.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+14.gb298635) (3.19.5)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+14.gb298635) (2022.5.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+14.gb298635) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+14.gb298635) (1.3.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+14.gb298635) (0.55.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+14.gb298635) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+14.gb298635) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+14.gb298635) (1.10.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+14.gb298635) (4.64.1)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.8.0+14.gb298635) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.8.0+14.gb298635) (1.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.8.0+14.gb298635) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.8.0+14.gb298635) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.8.0+14.gb298635) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.8.0+14.gb298635) (2.2.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (5.8.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (1.7.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (2.0.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (6.1)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (8.1.3)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (2.4.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (1.0.4)
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Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+14.gb298635) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+14.gb298635) (65.5.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.8.0+14.gb298635) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.8.0+14.gb298635) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.8.0+14.gb298635) (2.8.2)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.8.0+14.gb298635) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.8.0+14.gb298635) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.8.0+14.gb298635) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.8.0+14.gb298635) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.8.0+14.gb298635) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.8.0+14.gb298635) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.8.0+14.gb298635) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.8.0+14.gb298635) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.8.0+14.gb298635) (4.0.0)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.8.0+14.gb298635-py3-none-any.whl size=118651 sha256=6b78e431f90f6ae382f670f45ff6fcdcdd2ea26d24a0384fdcf7aa7c37c77bf5
  Stored in directory: /tmp/pip-ephem-wheel-cache-n0sald10/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.8.0+14.gb298635
test-gpu run-test: commands[4] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py .      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py .               [100%]


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       356    213    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          195    108    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   122     15    88%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     29    79%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     24    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    136    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      1    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      2    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  147     56    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     38    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     97    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     38    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    161    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          603    344    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     29    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     81    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     16    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      1    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                               379    113    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/dataframe_iter.py                         21     17    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/tf_utils.py                               57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/utils.py                                  40     15    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   70      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49      8    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                             99     75    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     169     89    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    107    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 244    108    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    151    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              175    121    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                104     69    34%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     71    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                60     36    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39      4    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    154    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    268    148    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               756    340    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    108    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     22    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        101     54    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    63     14    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       282    212    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         158     75    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31      8    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     31    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     34    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       209     52    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      6    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               122     49    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46     20    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               24      8    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77      3    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     19    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79      7    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/session_filter.py                       45     28    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51      1    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           67     18    73%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50      1    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/workflow.py                             65     19    71%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           54      4    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                 140     47    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     12    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143     74    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    210    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     13    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/init.py                            22     20     9%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py                               113     14    88%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/hugectr.py                             37     29    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/pytorch.py                             10      6    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/tensorflow.py                          32     13    59%


TOTAL                                                                                                 14943   6877    54%


======================== 3 passed in 392.96s (0:06:32) =========================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

___________________________________ summary ____________________________________

test-gpu: commands succeeded

congratulations :)

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_merlin] $ /bin/bash /tmp/jenkins10262818074499467176.sh

@mikemckiernan mikemckiernan marked this pull request as draft November 24, 2022 23:01
@mikemckiernan mikemckiernan force-pushed the docs-dag-overview branch 2 times, most recently from dbb0b19 to 1f4e38a Compare November 30, 2022 02:36
@nvidia-merlin-bot
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Click to view CI Results
GitHub pull request #731 of commit dbb0b1985a65f75d28d1a5de3e5eef177860692a, no merge conflicts.
Running as SYSTEM
Setting status of dbb0b1985a65f75d28d1a5de3e5eef177860692a to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/662/ and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_merlin
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/731/*:refs/remotes/origin/pr/731/* # timeout=10
 > git rev-parse dbb0b1985a65f75d28d1a5de3e5eef177860692a^{commit} # timeout=10
Checking out Revision dbb0b1985a65f75d28d1a5de3e5eef177860692a (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f dbb0b1985a65f75d28d1a5de3e5eef177860692a # timeout=10
Commit message: "Add information about the Merlin DAG"
 > git rev-list --no-walk 31de1933ca0ca5b3854dc76bd7c9cb3d8900da0c # timeout=10
[merlin_merlin] $ /bin/bash /tmp/jenkins1856986786029393054.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.18,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.18,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='809068582'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-ekgo15wz
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-ekgo15wz
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit c73e81898c4c3ba10df019b9f36fa409a39d2626
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 852.7/852.7 kB 7.8 MB/s eta 0:00:00
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+21.gc73e818) (2.22.0)
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+21.gc73e818) (1.1.1)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+21.gc73e818) (0.3.0+12.g78ecddd)
Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.5/191.5 kB 165.7 MB/s eta 0:00:00
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+21.gc73e818) (1.8.1)
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+21.gc73e818) (1.20.3)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (21.3)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.2.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (3.19.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (0.55.1)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (7.0.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.10.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (4.64.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.3.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (0.4.3)
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Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (6.1)
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Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
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Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.2.1)
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Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.2.0)
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.15.0)
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Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+21.gc73e818-py3-none-any.whl size=98087 sha256=15407789f48acf97be9c0d9a6d090d094b6016699d8d480d04f6e4ea17f1dc33
  Stored in directory: /tmp/pip-ephem-wheel-cache-zy4jbefv/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+21.gc73e818 treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-j1tgz89_
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-j1tgz89_
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit 3124b03033723de762d90d47085bac3191f37ff5
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+59.g3124b030) (0.3.0+12.g78ecddd)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (21.3)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2022.3.0)
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Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (7.0.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.10.0)
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Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.3.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.2.0)
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Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (5.4.1)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.2.0)
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Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (6.1)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (5.8.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (8.1.3)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2.0.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (65.5.1)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (0.38.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2022.2.1)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (4.0.0)
Building wheels for collected packages: merlin-models
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+59.g3124b030-py3-none-any.whl size=366427 sha256=b6e22968da76fd2f89bf2ecf5e29d184aca2299f8e08b6e3cc44e448c6ea1929
  Stored in directory: /tmp/pip-ephem-wheel-cache-hgz7fbgr/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-models-0.9.0+59.g3124b030
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-_f_p60i2
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-_f_p60i2
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit ee3b7440eb22fad71ad50a6df978e1fa526f4817
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.3/48.3 kB 1.5 MB/s eta 0:00:00
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+11.gee3b7440) (1.8.1)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+11.gee3b7440) (0.3.0+12.g78ecddd)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (21.3)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.2.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (3.19.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (0.55.1)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (7.0.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.10.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (4.64.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.3.5)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+11.gee3b7440) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (0.4.3)
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Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.5.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (5.4.1)
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Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.0.4)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2.4.0)
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Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (6.1)
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Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (8.1.3)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2.0.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (65.5.1)
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Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.2.1)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (4.0.0)
Building wheels for collected packages: nvtabular, merlin-dataloader
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+11.gee3b7440-cp38-cp38-linux_x86_64.whl size=257603 sha256=8eae0431bc166644286cf69f5251ef6a63152957c394a6ffe1389a8ae3fabb2f
  Stored in directory: /tmp/pip-ephem-wheel-cache-kvqq01ey/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=68e62df103caff8257ea4a8376600f237cbca4110a334057ffd18932a0be549a
  Stored in directory: /tmp/pip-ephem-wheel-cache-kvqq01ey/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built nvtabular merlin-dataloader
Installing collected packages: merlin-dataloader, nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 nvtabular-1.6.0+11.gee3b7440
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-u9p6czv8
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-u9p6czv8
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78f1f0b0952fd14b76913b0dd258565c06694abe
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (21.3)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.2.5)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.5.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (3.19.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (0.55.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (7.0.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.10.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (4.64.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.3.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.4.1)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.4)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (6.1)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.8.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (8.1.3)
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Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (65.5.1)
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Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+13.g78f1f0b) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (2022.2.1)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (4.0.0)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+13.g78f1f0b-py3-none-any.whl size=118889 sha256=51b205fa9c277c88451811100d6458aa5d7532379756f23ec7d309122ff921cf
  Stored in directory: /tmp/pip-ephem-wheel-cache-rnoxn_9a/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+13.g78f1f0b
test-gpu run-test: commands[4] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py .      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py F               [100%]


=================================== FAILURES ===================================

__________________________________ test_func ___________________________________


def test_func():
    with testbook(
        REPO_ROOT / "examples" / "scaling-criteo" / "02-ETL-with-NVTabular.ipynb",
        execute=False,
        timeout=180,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/input/criteo/"
            os.environ["INPUT_DATA_DIR"] = "/tmp/input/criteo/"
            os.environ["OUTPUT_DATA_DIR"] = "/tmp/output/criteo/"
            os.system("mkdir -p /tmp/input/criteo")
            os.system("mkdir -p /tmp/output/criteo")

            from merlin.datasets.synthetic import generate_data

            train, valid = generate_data("criteo", int(100000), set_sizes=(0.7, 0.3))

            train.to_ddf().compute().to_parquet('/tmp/input/criteo/day_0.parquet')
            valid.to_ddf().compute().to_parquet('/tmp/input/criteo/day_1.parquet')
            """
        )





      tb1.execute()





tests/unit/examples/test_scaling_criteo_merlin_models.py:33:




../../../.local/lib/python3.8/site-packages/testbook/client.py:147: in execute

super().execute_cell(cell, index)

../../../.local/lib/python3.8/site-packages/nbclient/util.py:84: in wrapped

return just_run(coro(*args, **kwargs))

../../../.local/lib/python3.8/site-packages/nbclient/util.py:62: in just_run

return loop.run_until_complete(coro)

/usr/lib/python3.8/asyncio/base_events.py:616: in run_until_complete

return future.result()

../../../.local/lib/python3.8/site-packages/nbclient/client.py:965: in async_execute_cell

await self._check_raise_for_error(cell, cell_index, exec_reply)




self = <testbook.client.TestbookNotebookClient object at 0x7f1bf12c6e20>

cell = {'cell_type': 'code', 'execution_count': 7, 'metadata': {'jupyter': {'outputs_hidden': False}, 'execution': {'iopub.st...pool_size=(device_pool_size // 256) * 256\n    )\n\n# Create the distributed client\nclient = Client(cluster)\nclient'}

cell_index = 12

exec_reply = {'buffers': [], 'content': {'ename': 'MemoryError', 'engine_info': {'engine_id': -1, 'engine_uuid': '3f06bc87-4c78-4de...e, 'engine': '3f06bc87-4c78-4de3-8784-b2327922462f', 'started': '2022-11-30T02:38:10.765800Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E           # Dask dashboard

E           dashboard_port = "8787"

E

E           # Deploy a Single-Machine Multi-GPU Cluster

E           protocol = "tcp"  # "tcp" or "ucx"

E           if numba.cuda.is_available():

E               NUM_GPUS = list(range(len(numba.cuda.gpus)))

E           else:

E               NUM_GPUS = []

E           visible_devices = ",".join([str(n) for n in NUM_GPUS])  # Select devices to place workers

E           device_limit_frac = 0.7  # Spill GPU-Worker memory to host at this limit.

E           device_pool_frac = 0.8

E           part_mem_frac = 0.15

E

E           # Use total device size to calculate args.device_limit_frac

E           device_size = device_mem_size(kind="total")

E           device_limit = int(device_limit_frac * device_size)

E           device_pool_size = int(device_pool_frac * device_size)

E           part_size = int(part_mem_frac * device_size)

E

E           # Check if any device memory is already occupied

E           for dev in visible_devices.split(","):

E               fmem = pynvml_mem_size(kind="free", index=int(dev))

E               used = (device_size - fmem) / 1e9

E               if used > 1.0:

E                   warnings.warn(f"BEWARE - {used} GB is already occupied on device {int(dev)}!")

E

E           cluster = None  # (Optional) Specify existing scheduler port

E           if cluster is None:

E               cluster = LocalCUDACluster(

E                   protocol=protocol,

E                   n_workers=len(visible_devices.split(",")),

E                   CUDA_VISIBLE_DEVICES=visible_devices,

E                   device_memory_limit=device_limit,

E                   local_directory=dask_workdir,

E                   dashboard_address=":" + dashboard_port,

E                   rmm_pool_size=(device_pool_size // 256) * 256

E               )

E

E           # Create the distributed client

E           client = Client(cluster)

E           client

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

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E

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E

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg/tornado/gen.py:762�[0m, in �[0;36mRunner.run�[0;34m(self)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/deploy/spec.py:352�[0m, in �[0;36mSpecCluster._correct_state_internal�[0;34m(self)�[0m

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E

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E

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E

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/core.py:299�[0m, in �[0;36m_�[0;34m()�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/worker.py:1372�[0m, in �[0;36mstart�[0;34m()�[0m

E           �[1;32m   1370�[0m         �[38;5;28;01mfor�[39;00m exc �[38;5;129;01min�[39;00m plugins_exceptions:

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E           �[0;32m-> 1372�[0m     �[38;5;28;01mraise�[39;00m plugins_exceptions[�[38;5;241m0�[39m]

E           �[1;32m   1374�[0m �[38;5;28mself�[39m�[38;5;241m.�[39m_pending_plugins �[38;5;241m=�[39m ()

E           �[1;32m   1376�[0m �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39m_register_with_scheduler()

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/worker.py:3248�[0m, in �[0;36mplugin_add�[0;34m()�[0m

E           �[1;32m   3246�[0m �[38;5;28;01mif�[39;00m �[38;5;28mhasattr�[39m(plugin, �[38;5;124m"�[39m�[38;5;124msetup�[39m�[38;5;124m"�[39m):

E           �[1;32m   3247�[0m     �[38;5;28;01mtry�[39;00m:

E           �[0;32m-> 3248�[0m         result �[38;5;241m=�[39m plugin�[38;5;241m.�[39msetup(worker�[38;5;241m=�[39m�[38;5;28mself�[39m)

E           �[1;32m   3249�[0m         �[38;5;28;01mif�[39;00m isawaitable(result):

E           �[1;32m   3250�[0m             result �[38;5;241m=�[39m �[38;5;28;01mawait�[39;00m result

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py:78�[0m, in �[0;36msetup�[0;34m()�[0m

E           �[1;32m     74�[0m     �[38;5;28;01mimport�[39;00m �[38;5;21;01mrmm�[39;00m

E           �[1;32m     76�[0m     pool_allocator �[38;5;241m=�[39m �[38;5;28;01mFalse�[39;00m �[38;5;28;01mif�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39minitial_pool_size �[38;5;129;01mis�[39;00m �[38;5;28;01mNone�[39;00m �[38;5;28;01melse�[39;00m �[38;5;28;01mTrue�[39;00m

E           �[0;32m---> 78�[0m     rmm�[38;5;241m.�[39mreinitialize(

E           �[1;32m     79�[0m         pool_allocator�[38;5;241m=�[39mpool_allocator,

E           �[1;32m     80�[0m         managed_memory�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mmanaged_memory,

E           �[1;32m     81�[0m         initial_pool_size�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39minitial_pool_size,

E           �[1;32m     82�[0m         maximum_pool_size�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mmaximum_pool_size,

E           �[1;32m     83�[0m         logging�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mlogging,

E           �[1;32m     84�[0m         log_file_name�[38;5;241m=�[39mget_rmm_log_file_name(

E           �[1;32m     85�[0m             worker, �[38;5;28mself�[39m�[38;5;241m.�[39mlogging, �[38;5;28mself�[39m�[38;5;241m.�[39mlog_directory

E           �[1;32m     86�[0m         ),

E           �[1;32m     87�[0m     )

E           �[1;32m     88�[0m �[38;5;28;01mif�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mrmm_track_allocations:

E           �[1;32m     89�[0m     �[38;5;28;01mimport�[39;00m �[38;5;21;01mrmm�[39;00m

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/rmm/rmm.py:85�[0m, in �[0;36mreinitialize�[0;34m()�[0m

E           �[1;32m     32�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mreinitialize�[39m(

E           �[1;32m     33�[0m     pool_allocator�[38;5;241m=�[39m�[38;5;28;01mFalse�[39;00m,

E           �[1;32m     34�[0m     managed_memory�[38;5;241m=�[39m�[38;5;28;01mFalse�[39;00m,

E           �[0;32m   (...)�[0m

E           �[1;32m     39�[0m     log_file_name�[38;5;241m=�[39m�[38;5;28;01mNone�[39;00m,

E           �[1;32m     40�[0m ):

E           �[1;32m     41�[0m     �[38;5;124;03m"""�[39;00m

E           �[1;32m     42�[0m �[38;5;124;03m    Finalizes and then initializes RMM using the options passed. Using memory�[39;00m

E           �[1;32m     43�[0m �[38;5;124;03m    from a previous initialization of RMM is undefined behavior and should be�[39;00m

E           �[0;32m   (...)�[0m

E           �[1;32m     83�[0m �[38;5;124;03m    corresponding to each device.�[39;00m

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E           �[0;32m---> 85�[0m     rmm�[38;5;241m.�[39mmr�[38;5;241m.�[39m_initialize(

E           �[1;32m     86�[0m         pool_allocator�[38;5;241m=�[39mpool_allocator,

E           �[1;32m     87�[0m         managed_memory�[38;5;241m=�[39mmanaged_memory,

E           �[1;32m     88�[0m         initial_pool_size�[38;5;241m=�[39minitial_pool_size,

E           �[1;32m     89�[0m         maximum_pool_size�[38;5;241m=�[39mmaximum_pool_size,

E           �[1;32m     90�[0m         devices�[38;5;241m=�[39mdevices,

E           �[1;32m     91�[0m         logging�[38;5;241m=�[39mlogging,

E           �[1;32m     92�[0m         log_file_name�[38;5;241m=�[39mlog_file_name,

E           �[1;32m     93�[0m     )

E

E           File �[0;32mmemory_resource.pyx:823�[0m, in �[0;36mrmm._lib.memory_resource._initialize�[0;34m()�[0m

E

E           File �[0;32mmemory_resource.pyx:883�[0m, in �[0;36mrmm._lib.memory_resource._initialize�[0;34m()�[0m

E

E           File �[0;32mmemory_resource.pyx:342�[0m, in �[0;36mrmm._lib.memory_resource.PoolMemoryResource.__cinit__�[0;34m()�[0m

E

E           �[0;31mMemoryError�[0m: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

E           MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError

----------------------------- Captured stderr call -----------------------------

2022-11-30 02:38:13,756 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:38:13,768 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:38:13,782 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:38:13,836 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:38:14,234 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:38:14,235 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:38:17,032 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-0rwtdnck', purging

2022-11-30 02:38:17,033 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:38:17,295 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:38:17,296 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:38:20,220 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-j137sm4s', purging

2022-11-30 02:38:20,221 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:38:20,235 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:38:20,243 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:38:20,278 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:38:20,721 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:38:20,722 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:38:20,816 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:38:20,817 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:38:20,822 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:38:20,823 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:38:23,447 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-u0mvggab', purging

2022-11-30 02:38:23,447 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-xgq65226', purging

2022-11-30 02:38:23,447 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-bdxeh1xu', purging

2022-11-30 02:38:23,448 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:38:23,723 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:38:23,724 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

/usr/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 57 leaked semaphore objects to clean up at shutdown

warnings.warn('resource_tracker: There appear to be %d '


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       356    213    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          195    108    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   122     17    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     29    79%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     41    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    158    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      1    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      2    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  147     56    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     38    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     97    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     38    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    164    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          603    345    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     29    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     81    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     17    73%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      1    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                               379    114    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/dataframe_iter.py                         21     17    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/tf_utils.py                               57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/utils.py                                  40     15    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   70      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49     15    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                             99     75    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     175     95    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    111    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    114    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    161    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              175    121    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                106     71    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     84    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                64     39    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39     16    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    162    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    268    148    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               758    357    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    110    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     24    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        101     54    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    63     14    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       282    212    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         158     75    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31      8    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     33    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     40    79%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229     58    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      6    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               122     49    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46     21    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               32      8    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77      3    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     19    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/fil.py                                 211    117    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79      7    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/session_filter.py                       45     28    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51      1    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           67     20    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50      1    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/fil.py                  95     66    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           53      5    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                 145     47    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     17    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143     96    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    234    13%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     13    82%


TOTAL                                                                                                 15014   7167    52%


=================== 1 failed, 2 passed in 234.92s (0:03:54) ====================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

ERROR: InvocationError for command /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python -m pytest --cov-report term --cov merlin -rxs tests/unit (exited with code 1)

___________________________________ summary ____________________________________

ERROR:   test-gpu: commands failed

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_merlin] $ /bin/bash /tmp/jenkins12077160033250436366.sh

@nvidia-merlin-bot
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Click to view CI Results
GitHub pull request #731 of commit 1f4e38a2c87df15afca8f333e2e7d604ceb2196a, no merge conflicts.
Running as SYSTEM
Setting status of 1f4e38a2c87df15afca8f333e2e7d604ceb2196a to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/663/ and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_merlin
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/731/*:refs/remotes/origin/pr/731/* # timeout=10
 > git rev-parse 1f4e38a2c87df15afca8f333e2e7d604ceb2196a^{commit} # timeout=10
Checking out Revision 1f4e38a2c87df15afca8f333e2e7d604ceb2196a (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 1f4e38a2c87df15afca8f333e2e7d604ceb2196a # timeout=10
Commit message: "Add information about the Merlin DAG"
 > git rev-list --no-walk dbb0b1985a65f75d28d1a5de3e5eef177860692a # timeout=10
[merlin_merlin] $ /bin/bash /tmp/jenkins3732260165180736111.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.18,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.18,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='2566426484'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-m0s9fb27
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-m0s9fb27
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit c73e81898c4c3ba10df019b9f36fa409a39d2626
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+21.gc73e818) (0.3.0+12.g78ecddd)
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+21.gc73e818) (1.1.1)
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+21.gc73e818) (2.22.0)
Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.5/191.5 kB 3.1 MB/s eta 0:00:00
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 852.7/852.7 kB 15.4 MB/s eta 0:00:00
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+21.gc73e818) (1.20.3)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+21.gc73e818) (1.8.1)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (4.64.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (0.55.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.3.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (3.19.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (21.3)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.3.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.10.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.2.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.5.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.0.4)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (6.1)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2.0.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.7.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2.4.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (5.8.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (65.5.1)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.5/34.5 MB 114.2 MB/s eta 0:00:00
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Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.2.1)
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Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (4.0.0)
Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+21.gc73e818-py3-none-any.whl size=98087 sha256=8aae7d76669accde8152b86baeea59a6eaa2005687042118b001a1508d113bc2
  Stored in directory: /tmp/pip-ephem-wheel-cache-3h4j7rct/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+21.gc73e818 treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-3l8gxic7
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-3l8gxic7
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit 3124b03033723de762d90d47085bac3191f37ff5
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+59.g3124b030) (0.3.0+12.g78ecddd)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (4.64.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (0.55.1)
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Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (21.3)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.3.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.10.0)
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Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (0.4.3)
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Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (5.4.1)
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Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.2.0)
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Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (8.1.3)
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Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2.4.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (5.8.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (65.5.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.20.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (4.0.0)
Building wheels for collected packages: merlin-models
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+59.g3124b030-py3-none-any.whl size=366427 sha256=dc4f5330e78a4a2ece578ebd725466e4981ef9f3185a3582e8c380e45abe25a5
  Stored in directory: /tmp/pip-ephem-wheel-cache-escqmpee/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-models-0.9.0+59.g3124b030
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-vdzej9cf
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-vdzej9cf
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit ee3b7440eb22fad71ad50a6df978e1fa526f4817
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+11.gee3b7440) (0.3.0+12.g78ecddd)
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.3/48.3 kB 799.9 kB/s eta 0:00:00
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+11.gee3b7440) (1.8.1)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (4.64.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (0.55.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.3.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (3.19.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (21.3)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.3.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.10.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.2.5)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+11.gee3b7440) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (5.4.1)
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Building wheels for collected packages: nvtabular, merlin-dataloader
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+11.gee3b7440-cp38-cp38-linux_x86_64.whl size=257603 sha256=cc8ebd893d53a22e6c57aebf49c4308d5f570be9c8450a89dc3a908cc179de3c
  Stored in directory: /tmp/pip-ephem-wheel-cache-3x35jdvq/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=04475c4a5590b06aaf2212e875efc35f16fcd23cb733fcbee81d29ad1c579567
  Stored in directory: /tmp/pip-ephem-wheel-cache-3x35jdvq/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built nvtabular merlin-dataloader
Installing collected packages: merlin-dataloader, nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 nvtabular-1.6.0+11.gee3b7440
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-smmc7gnl
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-smmc7gnl
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78f1f0b0952fd14b76913b0dd258565c06694abe
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (0.55.1)
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Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
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Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.10.0)
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Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
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Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (8.1.3)
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Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (3.1.2)
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Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (2022.2.1)
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Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+13.g78f1f0b-py3-none-any.whl size=118889 sha256=8ee640cfc80b16d35c88faac7217e19dd768174aec08871c06fe2fddbc0814c5
  Stored in directory: /tmp/pip-ephem-wheel-cache-r4aeuhn7/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+13.g78f1f0b
test-gpu run-test: commands[4] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py F      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py F               [100%]


=================================== FAILURES ===================================

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7f80dc2fad90>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:





          cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)





../../../.local/lib/python3.8/site-packages/testbook/client.py:133:




args = (<testbook.client.TestbookNotebookClient object at 0x7f80dc2fad90>, {'id': 'f2997aee', 'cell_type': 'code', 'metadata'...[38;5;241m.\x1b[39mis_server_ready()\n', '\x1b[0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)']}]}, 55)

kwargs = {}


def wrapped(*args, **kwargs):





  return just_run(coro(*args, **kwargs))





../../../.local/lib/python3.8/site-packages/nbclient/util.py:84:




coro = <coroutine object NotebookClient.async_execute_cell at 0x7f80db772f40>


def just_run(coro: Awaitable) -> Any:
    """Make the coroutine run, even if there is an event loop running (using nest_asyncio)"""
    # original from vaex/asyncio.py
    loop = asyncio._get_running_loop()
    if loop is None:
        had_running_loop = False
        try:
            loop = asyncio.get_event_loop()
        except RuntimeError:
            # we can still get 'There is no current event loop in ...'
            loop = asyncio.new_event_loop()
            asyncio.set_event_loop(loop)
    else:
        had_running_loop = True
    if had_running_loop:
        # if there is a running loop, we patch using nest_asyncio
        # to have reentrant event loops
        check_ipython()
        import nest_asyncio

        nest_asyncio.apply()
        check_patch_tornado()





  return loop.run_until_complete(coro)





../../../.local/lib/python3.8/site-packages/nbclient/util.py:62:




self = <_UnixSelectorEventLoop running=False closed=False debug=False>

future = <Task finished name='Task-377' coro=<NotebookClient.async_execute_cell() done, defined at /var/jenkins_home/.local/lib...0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)\nRuntimeError: Tritonserver failed to start (ret=1)\n')>


def run_until_complete(self, future):
    """Run until the Future is done.

    If the argument is a coroutine, it is wrapped in a Task.

    WARNING: It would be disastrous to call run_until_complete()
    with the same coroutine twice -- it would wrap it in two
    different Tasks and that can't be good.

    Return the Future's result, or raise its exception.
    """
    self._check_closed()
    self._check_running()

    new_task = not futures.isfuture(future)
    future = tasks.ensure_future(future, loop=self)
    if new_task:
        # An exception is raised if the future didn't complete, so there
        # is no need to log the "destroy pending task" message
        future._log_destroy_pending = False

    future.add_done_callback(_run_until_complete_cb)
    try:
        self.run_forever()
    except:
        if new_task and future.done() and not future.cancelled():
            # The coroutine raised a BaseException. Consume the exception
            # to not log a warning, the caller doesn't have access to the
            # local task.
            future.exception()
        raise
    finally:
        future.remove_done_callback(_run_until_complete_cb)
    if not future.done():
        raise RuntimeError('Event loop stopped before Future completed.')





  return future.result()





/usr/lib/python3.8/asyncio/base_events.py:616:




self = <testbook.client.TestbookNotebookClient object at 0x7f80dc2fad90>

cell = {'id': 'f2997aee', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-11-30T02:41:46.783905Z',...t\x1b[38;5;241m.\x1b[39mis_server_ready()\n', '\x1b[0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)']}]}

cell_index = 55, execution_count = None, store_history = True


async def async_execute_cell(
    self,
    cell: NotebookNode,
    cell_index: int,
    execution_count: t.Optional[int] = None,
    store_history: bool = True,
) -> NotebookNode:
    """
    Executes a single code cell.

    To execute all cells see :meth:`execute`.

    Parameters
    ----------
    cell : nbformat.NotebookNode
        The cell which is currently being processed.
    cell_index : int
        The position of the cell within the notebook object.
    execution_count : int
        The execution count to be assigned to the cell (default: Use kernel response)
    store_history : bool
        Determines if history should be stored in the kernel (default: False).
        Specific to ipython kernels, which can store command histories.

    Returns
    -------
    output : dict
        The execution output payload (or None for no output).

    Raises
    ------
    CellExecutionError
        If execution failed and should raise an exception, this will be raised
        with defaults about the failure.

    Returns
    -------
    cell : NotebookNode
        The cell which was just processed.
    """
    assert self.kc is not None

    await run_hook(self.on_cell_start, cell=cell, cell_index=cell_index)

    if cell.cell_type != 'code' or not cell.source.strip():
        self.log.debug("Skipping non-executing cell %s", cell_index)
        return cell

    if self.skip_cells_with_tag in cell.metadata.get("tags", []):
        self.log.debug("Skipping tagged cell %s", cell_index)
        return cell

    if self.record_timing:  # clear execution metadata prior to execution
        cell['metadata']['execution'] = {}

    self.log.debug("Executing cell:\n%s", cell.source)

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors or "raises-exception" in cell.metadata.get("tags", [])
    )

    await run_hook(self.on_cell_execute, cell=cell, cell_index=cell_index)
    parent_msg_id = await ensure_async(
        self.kc.execute(
            cell.source, store_history=store_history, stop_on_error=not cell_allows_errors
        )
    )
    await run_hook(self.on_cell_complete, cell=cell, cell_index=cell_index)
    # We launched a code cell to execute
    self.code_cells_executed += 1
    exec_timeout = self._get_timeout(cell)

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:
        exec_reply = await self.task_poll_for_reply
    except asyncio.CancelledError:
        # can only be cancelled by task_poll_kernel_alive when the kernel is dead
        task_poll_output_msg.cancel()
        raise DeadKernelError("Kernel died")
    except Exception as e:
        # Best effort to cancel request if it hasn't been resolved
        try:
            # Check if the task_poll_output is doing the raising for us
            if not isinstance(e, CellControlSignal):
                task_poll_output_msg.cancel()
        finally:
            raise

    if execution_count:
        cell['execution_count'] = execution_count





  await self._check_raise_for_error(cell, cell_index, exec_reply)





../../../.local/lib/python3.8/site-packages/nbclient/client.py:965:




self = <testbook.client.TestbookNotebookClient object at 0x7f80dc2fad90>

cell = {'id': 'f2997aee', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-11-30T02:41:46.783905Z',...t\x1b[38;5;241m.\x1b[39mis_server_ready()\n', '\x1b[0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)']}]}

cell_index = 55

exec_reply = {'buffers': [], 'content': {'ename': 'RuntimeError', 'engine_info': {'engine_id': -1, 'engine_uuid': '6bf878e3-f801-4e...e, 'engine': '6bf878e3-f801-4ea0-ab74-2fe3ae929f01', 'started': '2022-11-30T02:41:46.784290Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E

E           import shutil

E           from merlin.core.dispatch import get_lib

E           from merlin.models.loader.tf_utils import configure_tensorflow

E           configure_tensorflow()

E           df_lib = get_lib()

E           batch = df_lib.read_parquet(

E               os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E               num_rows=1,

E               columns=["user_id_raw"],

E           )

E           from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E           response = run_ensemble_on_tritonserver(

E               "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E           )

E           response = [x.tolist()[0] for x in response["ordered_ids"]]

E           shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E           Cell �[0;32mIn [32], line 12�[0m

E           �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E           �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E           �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E           �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E           �[1;32m     10�[0m )

E           �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E           �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E           �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E           �[1;32m     14�[0m �[43m)�[49m

E           �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E           �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:138�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E           �[1;32m    115�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

E           �[1;32m    116�[0m �[38;5;124;03mprepares the inference request and returns the unparsed inference�[39;00m

E           �[1;32m    117�[0m �[38;5;124;03mresponse.�[39;00m

E           �[0;32m   (...)�[0m

E           �[1;32m    135�[0m �[38;5;124;03m    the results of the prediction, parsed by output column name.�[39;00m

E           �[1;32m    136�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    137�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E           �[0;32m--> 138�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E           �[1;32m    139�[0m     response �[38;5;241m=�[39m send_triton_request(

E           �[1;32m    140�[0m         schema, df, output_columns, client�[38;5;241m=�[39mclient, triton_model�[38;5;241m=�[39mmodel_name

E           �[1;32m    141�[0m     )

E           �[1;32m    143�[0m �[38;5;28;01mreturn�[39;00m response

E

E           File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

E           �[1;32m    111�[0m �[38;5;28;01mdel�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39margs, �[38;5;28mself�[39m�[38;5;241m.�[39mkwds, �[38;5;28mself�[39m�[38;5;241m.�[39mfunc

E           �[1;32m    112�[0m �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 113�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28;43mnext�[39;49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mgen�[49m�[43m)�[49m

E           �[1;32m    114�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mStopIteration�[39;00m:

E           �[1;32m    115�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124m"�[39m�[38;5;124mgenerator didn�[39m�[38;5;124m'�[39m�[38;5;124mt yield�[39m�[38;5;124m"�[39m) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:81�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

E           �[1;32m     79�[0m �[38;5;28;01mif�[39;00m process�[38;5;241m.�[39mpoll() �[38;5;129;01mis�[39;00m �[38;5;129;01mnot�[39;00m �[38;5;28;01mNone�[39;00m:

E           �[1;32m     80�[0m     retcode �[38;5;241m=�[39m process�[38;5;241m.�[39mreturncode

E           �[0;32m---> 81�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124mf�[39m�[38;5;124m"�[39m�[38;5;124mTritonserver failed to start (ret=�[39m�[38;5;132;01m{�[39;00mretcode�[38;5;132;01m}�[39;00m�[38;5;124m)�[39m�[38;5;124m"�[39m)

E           �[1;32m     83�[0m �[38;5;28;01mtry�[39;00m:

E           �[1;32m     84�[0m     ready �[38;5;241m=�[39m client�[38;5;241m.�[39mis_server_ready()

E

E           �[0;31mRuntimeError�[0m: Tritonserver failed to start (ret=1)

E           RuntimeError: Tritonserver failed to start (ret=1)


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError


During handling of the above exception, another exception occurred:


def test_func():
    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "01-Building-Recommender-Systems-with-Merlin.ipynb",
        execute=False,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["NUM_ROWS"] = "100000"
            os.system("mkdir -p /tmp/examples")
            os.environ["BASE_DIR"] = "/tmp/examples/"
            """
        )
        tb1.execute()
        assert os.path.isdir("/tmp/examples/dlrm")
        assert os.path.isdir("/tmp/examples/feature_repo")
        assert os.path.isdir("/tmp/examples/query_tower")
        assert os.path.isfile("/tmp/examples/item_embeddings.parquet")
        assert os.path.isfile("/tmp/examples/feature_repo/user_features.py")
        assert os.path.isfile("/tmp/examples/feature_repo/item_features.py")

    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "02-Deploying-multi-stage-RecSys-with-Merlin-Systems.ipynb",
        execute=False,
        timeout=180,
    ) as tb2:
        tb2.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["BASE_DIR"] = "/tmp/examples/"
            os.environ["topk_retrieval"] = "20"
            """
        )
        NUM_OF_CELLS = len(tb2.cells)
        tb2.execute_cell(list(range(0, NUM_OF_CELLS - 3)))
        top_k = tb2.ref("top_k")
        outputs = tb2.ref("outputs")
        assert outputs[0] == "ordered_ids"





      tb2.inject(





            """
            import shutil
            from merlin.core.dispatch import get_lib
            from merlin.models.loader.tf_utils import configure_tensorflow
            configure_tensorflow()
            df_lib = get_lib()
            batch = df_lib.read_parquet(
                os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),
                num_rows=1,
                columns=["user_id_raw"],
            )
            from merlin.systems.triton.utils import run_ensemble_on_tritonserver
            response = run_ensemble_on_tritonserver(
                "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"
            )
            response = [x.tolist()[0] for x in response["ordered_ids"]]
            shutil.rmtree("/tmp/examples/", ignore_errors=True)
            """
        )



tests/unit/examples/test_building_deploying_multi_stage_RecSys.py:61:




../../../.local/lib/python3.8/site-packages/testbook/client.py:237: in inject

cell = TestbookNode(self.execute_cell(inject_idx)) if run else TestbookNode(code_cell)




self = <testbook.client.TestbookNotebookClient object at 0x7f80dc2fad90>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:
            cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)
        except CellExecutionError as ce:





          raise TestbookRuntimeError(ce.evalue, ce, self._get_error_class(ce.ename))





E               testbook.exceptions.TestbookRuntimeError: An error occurred while executing the following cell:

E               ------------------

E

E               import shutil

E               from merlin.core.dispatch import get_lib

E               from merlin.models.loader.tf_utils import configure_tensorflow

E               configure_tensorflow()

E               df_lib = get_lib()

E               batch = df_lib.read_parquet(

E                   os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E                   num_rows=1,

E                   columns=["user_id_raw"],

E               )

E               from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E               response = run_ensemble_on_tritonserver(

E                   "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E               )

E               response = [x.tolist()[0] for x in response["ordered_ids"]]

E               shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E               ------------------

E

E               �[0;31m---------------------------------------------------------------------------�[0m

E               �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E               Cell �[0;32mIn [32], line 12�[0m

E               �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E               �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E               �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E               �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E               �[1;32m     10�[0m )

E               �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E               �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E               �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E               �[1;32m     14�[0m �[43m)�[49m

E               �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E               �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:138�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E               �[1;32m    115�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

E               �[1;32m    116�[0m �[38;5;124;03mprepares the inference request and returns the unparsed inference�[39;00m

E               �[1;32m    117�[0m �[38;5;124;03mresponse.�[39;00m

E               �[0;32m   (...)�[0m

E               �[1;32m    135�[0m �[38;5;124;03m    the results of the prediction, parsed by output column name.�[39;00m

E               �[1;32m    136�[0m �[38;5;124;03m"""�[39;00m

E               �[1;32m    137�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E               �[0;32m--> 138�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E               �[1;32m    139�[0m     response �[38;5;241m=�[39m send_triton_request(

E               �[1;32m    140�[0m         schema, df, output_columns, client�[38;5;241m=�[39mclient, triton_model�[38;5;241m=�[39mmodel_name

E               �[1;32m    141�[0m     )

E               �[1;32m    143�[0m �[38;5;28;01mreturn�[39;00m response

E

E               File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

E               �[1;32m    111�[0m �[38;5;28;01mdel�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39margs, �[38;5;28mself�[39m�[38;5;241m.�[39mkwds, �[38;5;28mself�[39m�[38;5;241m.�[39mfunc

E               �[1;32m    112�[0m �[38;5;28;01mtry�[39;00m:

E               �[0;32m--> 113�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28;43mnext�[39;49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mgen�[49m�[43m)�[49m

E               �[1;32m    114�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mStopIteration�[39;00m:

E               �[1;32m    115�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124m"�[39m�[38;5;124mgenerator didn�[39m�[38;5;124m'�[39m�[38;5;124mt yield�[39m�[38;5;124m"�[39m) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:81�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

E               �[1;32m     79�[0m �[38;5;28;01mif�[39;00m process�[38;5;241m.�[39mpoll() �[38;5;129;01mis�[39;00m �[38;5;129;01mnot�[39;00m �[38;5;28;01mNone�[39;00m:

E               �[1;32m     80�[0m     retcode �[38;5;241m=�[39m process�[38;5;241m.�[39mreturncode

E               �[0;32m---> 81�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124mf�[39m�[38;5;124m"�[39m�[38;5;124mTritonserver failed to start (ret=�[39m�[38;5;132;01m{�[39;00mretcode�[38;5;132;01m}�[39;00m�[38;5;124m)�[39m�[38;5;124m"�[39m)

E               �[1;32m     83�[0m �[38;5;28;01mtry�[39;00m:

E               �[1;32m     84�[0m     ready �[38;5;241m=�[39m client�[38;5;241m.�[39mis_server_ready()

E

E               �[0;31mRuntimeError�[0m: Tritonserver failed to start (ret=1)

E               RuntimeError: Tritonserver failed to start (ret=1)


../../../.local/lib/python3.8/site-packages/testbook/client.py:135: TestbookRuntimeError

----------------------------- Captured stderr call -----------------------------

2022-11-30 02:40:32.150944: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-11-30 02:40:36.325660: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-30 02:40:36.326472: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-11-30 02:40:36.327129: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-11-30 02:40:36.327702: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

WARNING clustering 457 points to 32 centroids: please provide at least 1248 training points

2022-11-30 02:41:40.144901: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-11-30 02:41:44.190503: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-30 02:41:44.191241: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-11-30 02:41:44.192723: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-11-30 02:41:44.193779: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

I1130 02:41:47.102713 18626 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7fe686000000' with size 268435456

I1130 02:41:47.103434 18626 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 67108864

I1130 02:41:47.111362 18626 model_lifecycle.cc:459] loading: 1_predicttensorflowtriton:1

I1130 02:41:47.111413 18626 model_lifecycle.cc:459] loading: 2_queryfaiss:1

I1130 02:41:47.111472 18626 model_lifecycle.cc:459] loading: 0_queryfeast:1

I1130 02:41:47.111506 18626 model_lifecycle.cc:459] loading: 3_queryfeast:1

I1130 02:41:47.111559 18626 model_lifecycle.cc:459] loading: 4_unrollfeatures:1

I1130 02:41:47.111599 18626 model_lifecycle.cc:459] loading: 5_predicttensorflowtriton:1

I1130 02:41:47.111665 18626 model_lifecycle.cc:459] loading: 6_softmaxsampling:1

I1130 02:42:55.111481 18626 tensorflow.cc:2536] TRITONBACKEND_Initialize: tensorflow

I1130 02:42:55.111530 18626 tensorflow.cc:2546] Triton TRITONBACKEND API version: 1.10

I1130 02:42:55.111537 18626 tensorflow.cc:2552] 'tensorflow' TRITONBACKEND API version: 1.10

I1130 02:42:55.111543 18626 tensorflow.cc:2576] backend configuration:

{"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}}

I1130 02:42:55.111584 18626 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 0_queryfeast (GPU device 0)

I1130 02:43:01.874680 18626 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 1_predicttensorflowtriton (version 1)

I1130 02:43:01.874837 18626 model_lifecycle.cc:693] successfully loaded '0_queryfeast' version 1

2022-11-30 02:43:01.876299: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-11-30 02:43:01.888299: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-11-30 02:43:01.888332: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-11-30 02:43:01.888448: I tensorflow/core/platform/cpu_feature_guard.cc:194] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE3 SSE4.1 SSE4.2 AVX

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-11-30 02:43:01.931091: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5144 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-30 02:43:01.972755: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled

2022-11-30 02:43:01.974803: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-11-30 02:43:02.054432: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-11-30 02:43:02.079309: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 203040 microseconds.

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

I1130 02:43:18.340642 18626 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 5_predicttensorflowtriton (version 1)

2022-11-30 02:43:18.341973: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/5_predicttensorflowtriton/1/model.savedmodel

2022-11-30 02:43:18.362408: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-11-30 02:43:18.362451: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/5_predicttensorflowtriton/1/model.savedmodel

2022-11-30 02:43:18.364530: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5144 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-30 02:43:18.394123: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-11-30 02:43:18.532981: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/5_predicttensorflowtriton/1/model.savedmodel

2022-11-30 02:43:18.585224: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 243263 microseconds.

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

I1130 02:43:34.834529 18626 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 1_predicttensorflowtriton (GPU device 0)

2022-11-30 02:43:34.835784: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-11-30 02:43:34.844668: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-11-30 02:43:34.844707: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-11-30 02:43:34.847300: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5144 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-30 02:43:34.857887: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-11-30 02:43:34.918149: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-11-30 02:43:34.944155: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 108385 microseconds.

I1130 02:43:34.944283 18626 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 2_queryfaiss (GPU device 0)

I1130 02:43:34.944497 18626 model_lifecycle.cc:693] successfully loaded '1_predicttensorflowtriton' version 1

I1130 02:43:41.360605 18626 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 3_queryfeast (GPU device 0)

I1130 02:43:41.361722 18626 model_lifecycle.cc:693] successfully loaded '2_queryfaiss' version 1

I1130 02:43:47.731532 18626 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 5_predicttensorflowtriton (GPU device 0)

I1130 02:43:47.731841 18626 model_lifecycle.cc:693] successfully loaded '3_queryfeast' version 1

2022-11-30 02:43:47.732504: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/5_predicttensorflowtriton/1/model.savedmodel

2022-11-30 02:43:47.751612: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-11-30 02:43:47.751660: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/5_predicttensorflowtriton/1/model.savedmodel

2022-11-30 02:43:47.753779: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5144 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-30 02:43:47.778079: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-11-30 02:43:47.920375: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/5_predicttensorflowtriton/1/model.savedmodel

2022-11-30 02:43:47.970960: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 238466 microseconds.

I1130 02:43:47.971152 18626 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 4_unrollfeatures (GPU device 0)

I1130 02:43:47.971360 18626 model_lifecycle.cc:693] successfully loaded '5_predicttensorflowtriton' version 1

I1130 02:43:54.181958 18626 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 6_softmaxsampling (GPU device 0)

I1130 02:43:54.182290 18626 model_lifecycle.cc:693] successfully loaded '4_unrollfeatures' version 1

I1130 02:44:00.397843 18626 model_lifecycle.cc:693] successfully loaded '6_softmaxsampling' version 1

E1130 02:44:00.398057 18626 model_repository_manager.cc:481] Invalid argument: in ensemble ensemble_model, ensemble tensor user_id_raw is mapping to non-existing input user_id_raw in model 0_queryfeast

I1130 02:44:00.398202 18626 server.cc:561]

+------------------+------+

| Repository Agent | Path |

+------------------+------+

+------------------+------+


I1130 02:44:00.398330 18626 server.cc:588]

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Backend    | Path                                                            | Config                                                                                                                                                                      |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| python     | /opt/tritonserver/backends/python/libtriton_python.so           | {"cmdline":{"auto-complete-config":"true","min-compute-capability":"6.000000","backend-directory":"/opt/tritonserver/backends","default-max-batch-size":"4"}}               |

| tensorflow | /opt/tritonserver/backends/tensorflow2/libtriton_tensorflow2.so | {"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}} |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1130 02:44:00.398451 18626 server.cc:631]

+---------------------------+---------+--------+

| Model                     | Version | Status |

+---------------------------+---------+--------+

| 0_queryfeast              | 1       | READY  |

| 1_predicttensorflowtriton | 1       | READY  |

| 2_queryfaiss              | 1       | READY  |

| 3_queryfeast              | 1       | READY  |

| 4_unrollfeatures          | 1       | READY  |

| 5_predicttensorflowtriton | 1       | READY  |

| 6_softmaxsampling         | 1       | READY  |

+---------------------------+---------+--------+


I1130 02:44:00.464414 18626 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1130 02:44:00.465259 18626 tritonserver.cc:2214]

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Option                           | Value                                                                                                                                                                                        |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| server_id                        | triton                                                                                                                                                                                       |

| server_version                   | 2.25.0                                                                                                                                                                                       |

| server_extensions                | classification sequence model_repository model_repository(unload_dependents) schedule_policy model_configuration system_shared_memory cuda_shared_memory binary_tensor_data statistics trace |

| model_repository_path[0]         | /tmp/examples/poc_ensemble                                                                                                                                                                   |

| model_control_mode               | MODE_NONE                                                                                                                                                                                    |

| strict_model_config              | 0                                                                                                                                                                                            |

| rate_limit                       | OFF                                                                                                                                                                                          |

| pinned_memory_pool_byte_size     | 268435456                                                                                                                                                                                    |

| cuda_memory_pool_byte_size{0}    | 67108864                                                                                                                                                                                     |

| response_cache_byte_size         | 0                                                                                                                                                                                            |

| min_supported_compute_capability | 6.0                                                                                                                                                                                          |

| strict_readiness                 | 1                                                                                                                                                                                            |

| exit_timeout                     | 30                                                                                                                                                                                           |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1130 02:44:00.465309 18626 server.cc:262] Waiting for in-flight requests to complete.

I1130 02:44:00.465328 18626 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1130 02:44:00.465565 18626 server.cc:293] All models are stopped, unloading models

I1130 02:44:00.465579 18626 server.cc:300] Timeout 30: Found 7 live models and 0 in-flight non-inference requests

I1130 02:44:00.465571 18626 tensorflow.cc:2729] TRITONBACKEND_ModelInstanceFinalize: delete instance state

I1130 02:44:00.465619 18626 tensorflow.cc:2729] TRITONBACKEND_ModelInstanceFinalize: delete instance state

I1130 02:44:00.465922 18626 tensorflow.cc:2668] TRITONBACKEND_ModelFinalize: delete model state

I1130 02:44:00.465985 18626 tensorflow.cc:2668] TRITONBACKEND_ModelFinalize: delete model state

I1130 02:44:00.474379 18626 model_lifecycle.cc:578] successfully unloaded '1_predicttensorflowtriton' version 1

I1130 02:44:00.494045 18626 model_lifecycle.cc:578] successfully unloaded '5_predicttensorflowtriton' version 1

I1130 02:44:01.465731 18626 server.cc:300] Timeout 29: Found 5 live models and 0 in-flight non-inference requests

W1130 02:44:01.487821 18626 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

I1130 02:44:02.465931 18626 server.cc:300] Timeout 28: Found 5 live models and 0 in-flight non-inference requests

W1130 02:44:02.488044 18626 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

I1130 02:44:02.518670 18626 model_lifecycle.cc:578] successfully unloaded '6_softmaxsampling' version 1

I1130 02:44:02.579279 18626 model_lifecycle.cc:578] successfully unloaded '2_queryfaiss' version 1

I1130 02:44:02.611296 18626 model_lifecycle.cc:578] successfully unloaded '4_unrollfeatures' version 1

I1130 02:44:02.635536 18626 model_lifecycle.cc:578] successfully unloaded '3_queryfeast' version 1

I1130 02:44:02.662363 18626 model_lifecycle.cc:578] successfully unloaded '0_queryfeast' version 1

I1130 02:44:03.466056 18626 server.cc:300] Timeout 27: Found 0 live models and 0 in-flight non-inference requests

error: creating server: Internal - failed to load all models

W1130 02:44:03.514401 18626 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

__________________________________ test_func ___________________________________


def test_func():
    with testbook(
        REPO_ROOT / "examples" / "scaling-criteo" / "02-ETL-with-NVTabular.ipynb",
        execute=False,
        timeout=180,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/input/criteo/"
            os.environ["INPUT_DATA_DIR"] = "/tmp/input/criteo/"
            os.environ["OUTPUT_DATA_DIR"] = "/tmp/output/criteo/"
            os.system("mkdir -p /tmp/input/criteo")
            os.system("mkdir -p /tmp/output/criteo")

            from merlin.datasets.synthetic import generate_data

            train, valid = generate_data("criteo", int(100000), set_sizes=(0.7, 0.3))

            train.to_ddf().compute().to_parquet('/tmp/input/criteo/day_0.parquet')
            valid.to_ddf().compute().to_parquet('/tmp/input/criteo/day_1.parquet')
            """
        )





      tb1.execute()





tests/unit/examples/test_scaling_criteo_merlin_models.py:33:




../../../.local/lib/python3.8/site-packages/testbook/client.py:147: in execute

super().execute_cell(cell, index)

../../../.local/lib/python3.8/site-packages/nbclient/util.py:84: in wrapped

return just_run(coro(*args, **kwargs))

../../../.local/lib/python3.8/site-packages/nbclient/util.py:62: in just_run

return loop.run_until_complete(coro)

/usr/lib/python3.8/asyncio/base_events.py:616: in run_until_complete

return future.result()

../../../.local/lib/python3.8/site-packages/nbclient/client.py:965: in async_execute_cell

await self._check_raise_for_error(cell, cell_index, exec_reply)




self = <testbook.client.TestbookNotebookClient object at 0x7f81b9545fd0>

cell = {'cell_type': 'code', 'execution_count': 7, 'metadata': {'jupyter': {'outputs_hidden': False}, 'execution': {'iopub.st...pool_size=(device_pool_size // 256) * 256\n    )\n\n# Create the distributed client\nclient = Client(cluster)\nclient'}

cell_index = 12

exec_reply = {'buffers': [], 'content': {'ename': 'MemoryError', 'engine_info': {'engine_id': -1, 'engine_uuid': '713d04f2-5a37-47e...e, 'engine': '713d04f2-5a37-47ee-b1f3-fb60887748ce', 'started': '2022-11-30T02:44:14.081287Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E           # Dask dashboard

E           dashboard_port = "8787"

E

E           # Deploy a Single-Machine Multi-GPU Cluster

E           protocol = "tcp"  # "tcp" or "ucx"

E           if numba.cuda.is_available():

E               NUM_GPUS = list(range(len(numba.cuda.gpus)))

E           else:

E               NUM_GPUS = []

E           visible_devices = ",".join([str(n) for n in NUM_GPUS])  # Select devices to place workers

E           device_limit_frac = 0.7  # Spill GPU-Worker memory to host at this limit.

E           device_pool_frac = 0.8

E           part_mem_frac = 0.15

E

E           # Use total device size to calculate args.device_limit_frac

E           device_size = device_mem_size(kind="total")

E           device_limit = int(device_limit_frac * device_size)

E           device_pool_size = int(device_pool_frac * device_size)

E           part_size = int(part_mem_frac * device_size)

E

E           # Check if any device memory is already occupied

E           for dev in visible_devices.split(","):

E               fmem = pynvml_mem_size(kind="free", index=int(dev))

E               used = (device_size - fmem) / 1e9

E               if used > 1.0:

E                   warnings.warn(f"BEWARE - {used} GB is already occupied on device {int(dev)}!")

E

E           cluster = None  # (Optional) Specify existing scheduler port

E           if cluster is None:

E               cluster = LocalCUDACluster(

E                   protocol=protocol,

E                   n_workers=len(visible_devices.split(",")),

E                   CUDA_VISIBLE_DEVICES=visible_devices,

E                   device_memory_limit=device_limit,

E                   local_directory=dask_workdir,

E                   dashboard_address=":" + dashboard_port,

E                   rmm_pool_size=(device_pool_size // 256) * 256

E               )

E

E           # Create the distributed client

E           client = Client(cluster)

E           client

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mMemoryError�[0m                               Traceback (most recent call last)

E           Cell �[0;32mIn [7], line 30�[0m

E           �[1;32m     28�[0m cluster �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m  �[38;5;66;03m# (Optional) Specify existing scheduler port�[39;00m

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E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/dask_cuda/local_cuda_cluster.py:367�[0m, in �[0;36mLocalCUDACluster.__init__�[0;34m(self, CUDA_VISIBLE_DEVICES, n_workers, threads_per_worker, memory_limit, device_memory_limit, data, local_directory, shared_filesystem, protocol, enable_tcp_over_ucx, enable_infiniband, enable_nvlink, enable_rdmacm, rmm_pool_size, rmm_maximum_pool_size, rmm_managed_memory, rmm_async, rmm_log_directory, rmm_track_allocations, jit_unspill, log_spilling, worker_class, pre_import, **kwargs)�[0m

E           �[1;32m    365�[0m �[38;5;28mself�[39m�[38;5;241m.�[39mcuda_visible_devices �[38;5;241m=�[39m CUDA_VISIBLE_DEVICES

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:309�[0m, in �[0;36mSyncMethodMixin.sync�[0;34m(self, func, asynchronous, callback_timeout, args, **kwargs)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:376�[0m, in �[0;36msync�[0;34m(loop, func, callback_timeout, *args, **kwargs)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:349�[0m, in �[0;36msync..f�[0;34m()�[0m

E           �[1;32m    347�[0m         future �[38;5;241m=�[39m asyncio�[38;5;241m.�[39mwait_for(future, callback_timeout)

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg/tornado/gen.py:762�[0m, in �[0;36mRunner.run�[0;34m(self)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/deploy/spec.py:352�[0m, in �[0;36mSpecCluster._correct_state_internal�[0;34m(self)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/core.py:299�[0m, in �[0;36mServer.await.._�[0;34m()�[0m

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E

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E           �[1;32m    344�[0m     �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mplugin_add(plugin�[38;5;241m=�[39mplugin, name�[38;5;241m=�[39mname)

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E

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E

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/worker.py:3248�[0m, in �[0;36mplugin_add�[0;34m()�[0m

E           �[1;32m   3246�[0m �[38;5;28;01mif�[39;00m �[38;5;28mhasattr�[39m(plugin, �[38;5;124m"�[39m�[38;5;124msetup�[39m�[38;5;124m"�[39m):

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E           �[1;32m   3249�[0m         �[38;5;28;01mif�[39;00m isawaitable(result):

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E           File �[0;32m/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py:78�[0m, in �[0;36msetup�[0;34m()�[0m

E           �[1;32m     74�[0m     �[38;5;28;01mimport�[39;00m �[38;5;21;01mrmm�[39;00m

E           �[1;32m     76�[0m     pool_allocator �[38;5;241m=�[39m �[38;5;28;01mFalse�[39;00m �[38;5;28;01mif�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39minitial_pool_size �[38;5;129;01mis�[39;00m �[38;5;28;01mNone�[39;00m �[38;5;28;01melse�[39;00m �[38;5;28;01mTrue�[39;00m

E           �[0;32m---> 78�[0m     rmm�[38;5;241m.�[39mreinitialize(

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E           �[1;32m     83�[0m         logging�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mlogging,

E           �[1;32m     84�[0m         log_file_name�[38;5;241m=�[39mget_rmm_log_file_name(

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E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/rmm/rmm.py:85�[0m, in �[0;36mreinitialize�[0;34m()�[0m

E           �[1;32m     32�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mreinitialize�[39m(

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E           �[1;32m     41�[0m     �[38;5;124;03m"""�[39;00m

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E           �[1;32m     93�[0m     )

E

E           File �[0;32mmemory_resource.pyx:823�[0m, in �[0;36mrmm._lib.memory_resource._initialize�[0;34m()�[0m

E

E           File �[0;32mmemory_resource.pyx:883�[0m, in �[0;36mrmm._lib.memory_resource._initialize�[0;34m()�[0m

E

E           File �[0;32mmemory_resource.pyx:342�[0m, in �[0;36mrmm._lib.memory_resource.PoolMemoryResource.__cinit__�[0;34m()�[0m

E

E           �[0;31mMemoryError�[0m: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

E           MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError

----------------------------- Captured stderr call -----------------------------

2022-11-30 02:44:17,049 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:44:17,054 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:44:17,071 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:44:17,169 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:44:17,601 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:44:17,602 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:44:20,309 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-b9d1089d', purging

2022-11-30 02:44:20,310 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:44:20,571 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:44:20,572 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:44:23,409 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-pzzh0cqd', purging

2022-11-30 02:44:23,410 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:44:23,423 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:44:23,439 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:44:23,446 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:44:23,980 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:44:23,981 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:44:23,989 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:44:23,990 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:44:24,024 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:44:24,025 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:44:24,032 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:44:24,033 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:44:26,621 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-0vg_a74a', purging

2022-11-30 02:44:26,621 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-jexanjio', purging

2022-11-30 02:44:26,622 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-gf1yvtxu', purging

2022-11-30 02:44:26,622 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-q_d9mtv2', purging

2022-11-30 02:44:26,623 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 02:44:26,892 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 02:44:26,893 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

/usr/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 57 leaked semaphore objects to clean up at shutdown

warnings.warn('resource_tracker: There appear to be %d '


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       356    213    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          195    108    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   122     17    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     29    79%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     41    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    158    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      1    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      2    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  147     56    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     38    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     97    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     38    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    164    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          603    345    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     29    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     81    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     17    73%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      1    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                               379    114    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/dataframe_iter.py                         21     17    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/tf_utils.py                               57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/utils.py                                  40     15    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   70      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49     15    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                             99     75    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     175     95    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    111    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    114    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    161    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              175    121    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                106     71    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     84    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                64     39    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39     16    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    162    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    268    148    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               758    357    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    110    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     24    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        101     54    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    63     14    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       282    212    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         158     75    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31      8    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     33    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     40    79%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229     58    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      6    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               122     74    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46     21    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26      7    73%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               32      8    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77      7    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     36    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/fil.py                                 211    117    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79      7    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/session_filter.py                       45     28    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51     11    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           67     20    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50     10    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/fil.py                  95     66    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           53      5    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                 145     47    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     34    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143    120    16%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    234    13%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     25    65%


TOTAL                                                                                                 15014   7291    51%


=================== 2 failed, 1 passed in 254.56s (0:04:14) ====================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

ERROR: InvocationError for command /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python -m pytest --cov-report term --cov merlin -rxs tests/unit (exited with code 1)

___________________________________ summary ____________________________________

ERROR:   test-gpu: commands failed

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_merlin] $ /bin/bash /tmp/jenkins14865758638763260489.sh

@nvidia-merlin-bot
Copy link
Contributor

Click to view CI Results
GitHub pull request #731 of commit ef0442296c4eeeed3dc57a2836eb5e03a5cbf391, no merge conflicts.
Running as SYSTEM
Setting status of ef0442296c4eeeed3dc57a2836eb5e03a5cbf391 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/664/ and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_merlin
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/731/*:refs/remotes/origin/pr/731/* # timeout=10
 > git rev-parse ef0442296c4eeeed3dc57a2836eb5e03a5cbf391^{commit} # timeout=10
Checking out Revision ef0442296c4eeeed3dc57a2836eb5e03a5cbf391 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f ef0442296c4eeeed3dc57a2836eb5e03a5cbf391 # timeout=10
Commit message: "Add information about the Merlin DAG"
 > git rev-list --no-walk 1f4e38a2c87df15afca8f333e2e7d604ceb2196a # timeout=10
[merlin_merlin] $ /bin/bash /tmp/jenkins10285209716803419990.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.19,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.19,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='849401712'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-7fo_jn7o
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-7fo_jn7o
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit c73e81898c4c3ba10df019b9f36fa409a39d2626
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+21.gc73e818) (2.22.0)
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+21.gc73e818) (1.1.1)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+21.gc73e818) (0.3.0+12.g78ecddd)
Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.5/191.5 kB 3.0 MB/s eta 0:00:00
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 852.7/852.7 kB 13.8 MB/s eta 0:00:00
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+21.gc73e818) (1.20.3)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+21.gc73e818) (1.8.1)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (3.19.5)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.3.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.3.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.3.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (0.55.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.10.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (7.0.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (21.3)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.2.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (4.64.1)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (0.4.3)
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Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (5.4.1)
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Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.0.4)
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Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (6.1)
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Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (8.1.3)
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Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (65.5.1)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
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Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.52.0)
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.0.1)
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Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (6.0.1)
Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+21.gc73e818-py3-none-any.whl size=98087 sha256=f46abf77718ddaca9aadbb4ebc9e0873aeff7b53de4674072f937b9028fecc9c
  Stored in directory: /tmp/pip-ephem-wheel-cache-dlk2i10r/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+21.gc73e818 treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-lac6ptvf
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-lac6ptvf
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit 3124b03033723de762d90d47085bac3191f37ff5
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+59.g3124b030) (0.3.0+12.g78ecddd)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (3.19.5)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2022.3.0)
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Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2022.3.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (0.55.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.10.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (7.0.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (21.3)
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Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (4.64.1)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (0.4.3)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (5.4.1)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2022.5.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.7.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.0.4)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (3.1.2)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (6.1)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2.4.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2.0.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (8.1.3)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (5.8.0)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (65.5.1)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+59.g3124b030) (6.0.1)
Building wheels for collected packages: merlin-models
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+59.g3124b030-py3-none-any.whl size=366427 sha256=f924f7a555376403dead6380ae904bfd3ed85a573dace710c956b7298b6f4009
  Stored in directory: /tmp/pip-ephem-wheel-cache-snn2czzt/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-models-0.9.0+59.g3124b030
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-1xft3hru
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-1xft3hru
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit ee3b7440eb22fad71ad50a6df978e1fa526f4817
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+11.gee3b7440) (1.8.1)
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.3/48.3 kB 1.8 MB/s eta 0:00:00
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+11.gee3b7440) (0.3.0+12.g78ecddd)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (3.19.5)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.3.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.3.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.3.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (0.55.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.10.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (7.0.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (21.3)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.2.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (4.64.1)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+11.gee3b7440) (1.20.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (0.4.3)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.2.0)
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Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (5.4.1)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.5.0)
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Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (3.1.2)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (6.1)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2.4.0)
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Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (65.5.1)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (0.38.1)
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Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (6.0.1)
Building wheels for collected packages: nvtabular, merlin-dataloader
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+11.gee3b7440-cp38-cp38-linux_x86_64.whl size=257603 sha256=db27f522d4ef41f216f4397f3cb303f75dfe16516a7a51b4f0c5652296b73f78
  Stored in directory: /tmp/pip-ephem-wheel-cache-fqt6c1ny/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=666c9be61e7269699853b65418a0dd658b53042063cc9df6b794f0f88be50275
  Stored in directory: /tmp/pip-ephem-wheel-cache-fqt6c1ny/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built nvtabular merlin-dataloader
Installing collected packages: merlin-dataloader, nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 nvtabular-1.6.0+11.gee3b7440
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-ect19wez
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-ect19wez
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78f1f0b0952fd14b76913b0dd258565c06694abe
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (3.19.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (4.64.1)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.3.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (0.55.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.10.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (7.0.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (21.3)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.5.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.2.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (0.4.3)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.4.1)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.7.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.4)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (3.1.2)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (6.1)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.4.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.0.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (8.1.3)
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Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (65.5.1)
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Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+13.g78f1f0b) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.1)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+13.g78f1f0b-py3-none-any.whl size=118889 sha256=c832fce1a6ec20e28f8a8c4a30f3ee08152ca6ffdf2d29647ad163bc5d5e96ae
  Stored in directory: /tmp/pip-ephem-wheel-cache-d4_rx1wr/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+13.g78f1f0b
test-gpu run-test: commands[4] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py .      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py .               [100%]


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       356    213    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          195    108    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   122     15    88%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     29    79%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     24    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    136    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      1    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      2    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  147     56    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     38    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     97    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     38    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    157    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          603    344    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     20    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     78    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     16    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      1    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                               379    113    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/dataframe_iter.py                         21     17    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/tf_utils.py                               57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/utils.py                                  40     15    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   70      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49      8    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                             99     75    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     175     95    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    107    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    108    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    151    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              175    121    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                106     71    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     71    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                64     39    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39      4    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    154    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    268    148    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               758    342    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    108    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     22    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        101     54    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    63     14    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       282    212    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         158     75    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31     10    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     31    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     33    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229     57    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      6    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               122     49    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46     20    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               32      8    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77      3    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     19    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/fil.py                                 211    117    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79      7    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/session_filter.py                       45     28    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51      1    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           67     18    73%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50      1    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/workflow.py                             65     19    71%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/fil.py                  95     66    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           53      4    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                 145     47    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     12    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143     74    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    210    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     13    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/init.py                            22     20     9%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py                               113     14    88%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/hugectr.py                             37     29    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/pytorch.py                             10      6    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/tensorflow.py                          32     13    59%


TOTAL                                                                                                 15293   7063    54%


======================== 3 passed in 328.32s (0:05:28) =========================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

/usr/local/lib/python3.8/dist-packages/coverage/data.py:130: CoverageWarning: Data file '/var/jenkins_home/workspace/merlin_merlin/merlin/.coverage.10.20.17.231.8530.938535' doesn't seem to be a coverage data file: cannot unpack non-iterable NoneType object

data._warn(str(exc))

___________________________________ summary ____________________________________

test-gpu: commands succeeded

congratulations :)

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_merlin] $ /bin/bash /tmp/jenkins10433080166375599886.sh

@nvidia-merlin-bot
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Click to view CI Results
GitHub pull request #731 of commit 8ff535772a2b573af8968ed7d1ee0940f5211e81, no merge conflicts.
Running as SYSTEM
Setting status of 8ff535772a2b573af8968ed7d1ee0940f5211e81 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/665/ and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_merlin
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/731/*:refs/remotes/origin/pr/731/* # timeout=10
 > git rev-parse 8ff535772a2b573af8968ed7d1ee0940f5211e81^{commit} # timeout=10
Checking out Revision 8ff535772a2b573af8968ed7d1ee0940f5211e81 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 8ff535772a2b573af8968ed7d1ee0940f5211e81 # timeout=10
Commit message: "Add information about the Merlin DAG"
 > git rev-list --no-walk ef0442296c4eeeed3dc57a2836eb5e03a5cbf391 # timeout=10
[merlin_merlin] $ /bin/bash /tmp/jenkins815829709532640159.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.19,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.19,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='3018476971'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-ainmlevp
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-ainmlevp
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit c73e81898c4c3ba10df019b9f36fa409a39d2626
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+21.gc73e818) (1.1.1)
Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.5/191.5 kB 2.2 MB/s eta 0:00:00
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 852.7/852.7 kB 6.1 MB/s eta 0:00:00
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+21.gc73e818) (0.3.0+12.g78ecddd)
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+21.gc73e818) (2.22.0)
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+21.gc73e818) (1.20.3)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+21.gc73e818) (1.8.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (0.55.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (7.0.0)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.3.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (4.64.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.2.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.3.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.2.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.5.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (0.12.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (5.8.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2.4.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2.0.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (8.1.3)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (3.1.2)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (6.1)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.7.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.0.4)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.5/34.5 MB 37.5 MB/s eta 0:00:00
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (65.5.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2.8.2)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gc73e818) (4.0.0)
Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+21.gc73e818-py3-none-any.whl size=98087 sha256=ed49888051d84e464c2850823fbb7d405c979d769fab3108ef8b987db2e66c15
  Stored in directory: /tmp/pip-ephem-wheel-cache-0xrtzyqs/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+21.gc73e818 treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-jp08mtuk
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-jp08mtuk
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit 5e4d8a106498847b5755f94a8e467c46cbf12c60
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+60.g5e4d8a10) (0.3.0+12.g78ecddd)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (0.55.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (7.0.0)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (2022.3.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (4.64.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.2.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.3.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.2.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (2022.5.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (0.12.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (5.8.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (2.4.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (2.0.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (8.1.3)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (3.1.2)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (6.1)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.7.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.0.4)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (0.38.1)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (65.5.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (2.8.2)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (4.0.0)
Building wheels for collected packages: merlin-models
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+60.g5e4d8a10-py3-none-any.whl size=366424 sha256=d1a7e08c4db116d0b1e9adfc9c918caec92b31d6fc22254260498f768b02cfc4
  Stored in directory: /tmp/pip-ephem-wheel-cache-rn1b37t1/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-models-0.9.0+60.g5e4d8a10
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-vf525ico
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-vf525ico
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit ee3b7440eb22fad71ad50a6df978e1fa526f4817
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+11.gee3b7440) (0.3.0+12.g78ecddd)
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.3/48.3 kB 1.2 MB/s eta 0:00:00
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+11.gee3b7440) (1.8.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (0.55.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (7.0.0)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.3.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (4.64.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.2.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.3.5)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+11.gee3b7440) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.2.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.5.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (0.12.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (5.8.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2.4.0)
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Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (8.1.3)
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Building wheels for collected packages: nvtabular, merlin-dataloader
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+11.gee3b7440-cp38-cp38-linux_x86_64.whl size=257603 sha256=5c8bb08beed50b105c2003b25e9c68825c6325cb112e7fa3614f73300268e6c2
  Stored in directory: /tmp/pip-ephem-wheel-cache-bwsoh06r/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=8aed29dd5f94e1550b11f592f494987a716e941095977d65239a6cd5a1c94fb6
  Stored in directory: /tmp/pip-ephem-wheel-cache-bwsoh06r/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built nvtabular merlin-dataloader
Installing collected packages: merlin-dataloader, nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 nvtabular-1.6.0+11.gee3b7440
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-b0w5sqs9
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-b0w5sqs9
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78f1f0b0952fd14b76913b0dd258565c06694abe
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (0.55.1)
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Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (8.1.3)
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Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (6.1)
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Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (2.8.2)
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Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+13.g78f1f0b-py3-none-any.whl size=118889 sha256=0ab18beb6514711b675997eb43f40f3bbc66192d80ee9de443600bee945a0ae2
  Stored in directory: /tmp/pip-ephem-wheel-cache-q_g_69fg/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+13.g78f1f0b
test-gpu run-test: commands[4] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py F      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py F               [100%]


=================================== FAILURES ===================================

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7f6ed593b2b0>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:





          cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)





../../../.local/lib/python3.8/site-packages/testbook/client.py:133:




args = (<testbook.client.TestbookNotebookClient object at 0x7f6ed593b2b0>, {'id': '0d415879', 'cell_type': 'code', 'metadata'...pass\x1b[39;00m\n', '\x1b[0;31mRuntimeError\x1b[0m: Another tritonserver is already running on localhost:8001']}]}, 55)

kwargs = {}


def wrapped(*args, **kwargs):





  return just_run(coro(*args, **kwargs))





../../../.local/lib/python3.8/site-packages/nbclient/util.py:84:




coro = <coroutine object NotebookClient.async_execute_cell at 0x7f6ed587cf40>


def just_run(coro: Awaitable) -> Any:
    """Make the coroutine run, even if there is an event loop running (using nest_asyncio)"""
    # original from vaex/asyncio.py
    loop = asyncio._get_running_loop()
    if loop is None:
        had_running_loop = False
        try:
            loop = asyncio.get_event_loop()
        except RuntimeError:
            # we can still get 'There is no current event loop in ...'
            loop = asyncio.new_event_loop()
            asyncio.set_event_loop(loop)
    else:
        had_running_loop = True
    if had_running_loop:
        # if there is a running loop, we patch using nest_asyncio
        # to have reentrant event loops
        check_ipython()
        import nest_asyncio

        nest_asyncio.apply()
        check_patch_tornado()





  return loop.run_until_complete(coro)





../../../.local/lib/python3.8/site-packages/nbclient/util.py:62:




self = <_UnixSelectorEventLoop running=False closed=False debug=False>

future = <Task finished name='Task-377' coro=<NotebookClient.async_execute_cell() done, defined at /var/jenkins_home/.local/lib...rver is already running on localhost:8001\nRuntimeError: Another tritonserver is already running on localhost:8001\n')>


def run_until_complete(self, future):
    """Run until the Future is done.

    If the argument is a coroutine, it is wrapped in a Task.

    WARNING: It would be disastrous to call run_until_complete()
    with the same coroutine twice -- it would wrap it in two
    different Tasks and that can't be good.

    Return the Future's result, or raise its exception.
    """
    self._check_closed()
    self._check_running()

    new_task = not futures.isfuture(future)
    future = tasks.ensure_future(future, loop=self)
    if new_task:
        # An exception is raised if the future didn't complete, so there
        # is no need to log the "destroy pending task" message
        future._log_destroy_pending = False

    future.add_done_callback(_run_until_complete_cb)
    try:
        self.run_forever()
    except:
        if new_task and future.done() and not future.cancelled():
            # The coroutine raised a BaseException. Consume the exception
            # to not log a warning, the caller doesn't have access to the
            # local task.
            future.exception()
        raise
    finally:
        future.remove_done_callback(_run_until_complete_cb)
    if not future.done():
        raise RuntimeError('Event loop stopped before Future completed.')





  return future.result()





/usr/lib/python3.8/asyncio/base_events.py:616:




self = <testbook.client.TestbookNotebookClient object at 0x7f6ed593b2b0>

cell = {'id': '0d415879', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-11-30T21:00:51.701553Z',...8;01mpass\x1b[39;00m\n', '\x1b[0;31mRuntimeError\x1b[0m: Another tritonserver is already running on localhost:8001']}]}

cell_index = 55, execution_count = None, store_history = True


async def async_execute_cell(
    self,
    cell: NotebookNode,
    cell_index: int,
    execution_count: t.Optional[int] = None,
    store_history: bool = True,
) -> NotebookNode:
    """
    Executes a single code cell.

    To execute all cells see :meth:`execute`.

    Parameters
    ----------
    cell : nbformat.NotebookNode
        The cell which is currently being processed.
    cell_index : int
        The position of the cell within the notebook object.
    execution_count : int
        The execution count to be assigned to the cell (default: Use kernel response)
    store_history : bool
        Determines if history should be stored in the kernel (default: False).
        Specific to ipython kernels, which can store command histories.

    Returns
    -------
    output : dict
        The execution output payload (or None for no output).

    Raises
    ------
    CellExecutionError
        If execution failed and should raise an exception, this will be raised
        with defaults about the failure.

    Returns
    -------
    cell : NotebookNode
        The cell which was just processed.
    """
    assert self.kc is not None

    await run_hook(self.on_cell_start, cell=cell, cell_index=cell_index)

    if cell.cell_type != 'code' or not cell.source.strip():
        self.log.debug("Skipping non-executing cell %s", cell_index)
        return cell

    if self.skip_cells_with_tag in cell.metadata.get("tags", []):
        self.log.debug("Skipping tagged cell %s", cell_index)
        return cell

    if self.record_timing:  # clear execution metadata prior to execution
        cell['metadata']['execution'] = {}

    self.log.debug("Executing cell:\n%s", cell.source)

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors or "raises-exception" in cell.metadata.get("tags", [])
    )

    await run_hook(self.on_cell_execute, cell=cell, cell_index=cell_index)
    parent_msg_id = await ensure_async(
        self.kc.execute(
            cell.source, store_history=store_history, stop_on_error=not cell_allows_errors
        )
    )
    await run_hook(self.on_cell_complete, cell=cell, cell_index=cell_index)
    # We launched a code cell to execute
    self.code_cells_executed += 1
    exec_timeout = self._get_timeout(cell)

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:
        exec_reply = await self.task_poll_for_reply
    except asyncio.CancelledError:
        # can only be cancelled by task_poll_kernel_alive when the kernel is dead
        task_poll_output_msg.cancel()
        raise DeadKernelError("Kernel died")
    except Exception as e:
        # Best effort to cancel request if it hasn't been resolved
        try:
            # Check if the task_poll_output is doing the raising for us
            if not isinstance(e, CellControlSignal):
                task_poll_output_msg.cancel()
        finally:
            raise

    if execution_count:
        cell['execution_count'] = execution_count





  await self._check_raise_for_error(cell, cell_index, exec_reply)





../../../.local/lib/python3.8/site-packages/nbclient/client.py:965:




self = <testbook.client.TestbookNotebookClient object at 0x7f6ed593b2b0>

cell = {'id': '0d415879', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-11-30T21:00:51.701553Z',...8;01mpass\x1b[39;00m\n', '\x1b[0;31mRuntimeError\x1b[0m: Another tritonserver is already running on localhost:8001']}]}

cell_index = 55

exec_reply = {'buffers': [], 'content': {'ename': 'RuntimeError', 'engine_info': {'engine_id': -1, 'engine_uuid': '7ab94c61-b27f-43...e, 'engine': '7ab94c61-b27f-43de-b651-0fd219723c34', 'started': '2022-11-30T21:00:51.701910Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E

E           import shutil

E           from merlin.core.dispatch import get_lib

E           from merlin.models.loader.tf_utils import configure_tensorflow

E           configure_tensorflow()

E           df_lib = get_lib()

E           batch = df_lib.read_parquet(

E               os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E               num_rows=1,

E               columns=["user_id_raw"],

E           )

E           from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E           response = run_ensemble_on_tritonserver(

E               "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E           )

E           response = [x.tolist()[0] for x in response["ordered_ids"]]

E           shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E           Cell �[0;32mIn [32], line 12�[0m

E           �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E           �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E           �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E           �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E           �[1;32m     10�[0m )

E           �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E           �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E           �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E           �[1;32m     14�[0m �[43m)�[49m

E           �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E           �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:138�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E           �[1;32m    115�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

E           �[1;32m    116�[0m �[38;5;124;03mprepares the inference request and returns the unparsed inference�[39;00m

E           �[1;32m    117�[0m �[38;5;124;03mresponse.�[39;00m

E           �[0;32m   (...)�[0m

E           �[1;32m    135�[0m �[38;5;124;03m    the results of the prediction, parsed by output column name.�[39;00m

E           �[1;32m    136�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    137�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E           �[0;32m--> 138�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E           �[1;32m    139�[0m     response �[38;5;241m=�[39m send_triton_request(

E           �[1;32m    140�[0m         schema, df, output_columns, client�[38;5;241m=�[39mclient, triton_model�[38;5;241m=�[39mmodel_name

E           �[1;32m    141�[0m     )

E           �[1;32m    143�[0m �[38;5;28;01mreturn�[39;00m response

E

E           File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

E           �[1;32m    111�[0m �[38;5;28;01mdel�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39margs, �[38;5;28mself�[39m�[38;5;241m.�[39mkwds, �[38;5;28mself�[39m�[38;5;241m.�[39mfunc

E           �[1;32m    112�[0m �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 113�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28;43mnext�[39;49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mgen�[49m�[43m)�[49m

E           �[1;32m    114�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mStopIteration�[39;00m:

E           �[1;32m    115�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124m"�[39m�[38;5;124mgenerator didn�[39m�[38;5;124m'�[39m�[38;5;124mt yield�[39m�[38;5;124m"�[39m) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:58�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

E           �[1;32m     56�[0m     �[38;5;28;01mwith�[39;00m grpcclient�[38;5;241m.�[39mInferenceServerClient(grpc_url) �[38;5;28;01mas�[39;00m client:

E           �[1;32m     57�[0m         �[38;5;28;01mif�[39;00m client�[38;5;241m.�[39mis_server_ready():

E           �[0;32m---> 58�[0m             �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124mf�[39m�[38;5;124m"�[39m�[38;5;124mAnother tritonserver is already running on �[39m�[38;5;132;01m{�[39;00mgrpc_url�[38;5;132;01m}�[39;00m�[38;5;124m"�[39m)

E           �[1;32m     59�[0m �[38;5;28;01mexcept�[39;00m tritonclient�[38;5;241m.�[39mutils�[38;5;241m.�[39mInferenceServerException:

E           �[1;32m     60�[0m     �[38;5;28;01mpass�[39;00m

E

E           �[0;31mRuntimeError�[0m: Another tritonserver is already running on localhost:8001

E           RuntimeError: Another tritonserver is already running on localhost:8001


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError


During handling of the above exception, another exception occurred:


def test_func():
    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "01-Building-Recommender-Systems-with-Merlin.ipynb",
        execute=False,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["NUM_ROWS"] = "100000"
            os.system("mkdir -p /tmp/examples")
            os.environ["BASE_DIR"] = "/tmp/examples/"
            """
        )
        tb1.execute()
        assert os.path.isdir("/tmp/examples/dlrm")
        assert os.path.isdir("/tmp/examples/feature_repo")
        assert os.path.isdir("/tmp/examples/query_tower")
        assert os.path.isfile("/tmp/examples/item_embeddings.parquet")
        assert os.path.isfile("/tmp/examples/feature_repo/user_features.py")
        assert os.path.isfile("/tmp/examples/feature_repo/item_features.py")

    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "02-Deploying-multi-stage-RecSys-with-Merlin-Systems.ipynb",
        execute=False,
        timeout=180,
    ) as tb2:
        tb2.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["BASE_DIR"] = "/tmp/examples/"
            os.environ["topk_retrieval"] = "20"
            """
        )
        NUM_OF_CELLS = len(tb2.cells)
        tb2.execute_cell(list(range(0, NUM_OF_CELLS - 3)))
        top_k = tb2.ref("top_k")
        outputs = tb2.ref("outputs")
        assert outputs[0] == "ordered_ids"





      tb2.inject(





            """
            import shutil
            from merlin.core.dispatch import get_lib
            from merlin.models.loader.tf_utils import configure_tensorflow
            configure_tensorflow()
            df_lib = get_lib()
            batch = df_lib.read_parquet(
                os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),
                num_rows=1,
                columns=["user_id_raw"],
            )
            from merlin.systems.triton.utils import run_ensemble_on_tritonserver
            response = run_ensemble_on_tritonserver(
                "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"
            )
            response = [x.tolist()[0] for x in response["ordered_ids"]]
            shutil.rmtree("/tmp/examples/", ignore_errors=True)
            """
        )



tests/unit/examples/test_building_deploying_multi_stage_RecSys.py:61:




../../../.local/lib/python3.8/site-packages/testbook/client.py:237: in inject

cell = TestbookNode(self.execute_cell(inject_idx)) if run else TestbookNode(code_cell)




self = <testbook.client.TestbookNotebookClient object at 0x7f6ed593b2b0>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:
            cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)
        except CellExecutionError as ce:





          raise TestbookRuntimeError(ce.evalue, ce, self._get_error_class(ce.ename))





E               testbook.exceptions.TestbookRuntimeError: An error occurred while executing the following cell:

E               ------------------

E

E               import shutil

E               from merlin.core.dispatch import get_lib

E               from merlin.models.loader.tf_utils import configure_tensorflow

E               configure_tensorflow()

E               df_lib = get_lib()

E               batch = df_lib.read_parquet(

E                   os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E                   num_rows=1,

E                   columns=["user_id_raw"],

E               )

E               from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E               response = run_ensemble_on_tritonserver(

E                   "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E               )

E               response = [x.tolist()[0] for x in response["ordered_ids"]]

E               shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E               ------------------

E

E               �[0;31m---------------------------------------------------------------------------�[0m

E               �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E               Cell �[0;32mIn [32], line 12�[0m

E               �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E               �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E               �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E               �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E               �[1;32m     10�[0m )

E               �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E               �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E               �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E               �[1;32m     14�[0m �[43m)�[49m

E               �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E               �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:138�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E               �[1;32m    115�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

E               �[1;32m    116�[0m �[38;5;124;03mprepares the inference request and returns the unparsed inference�[39;00m

E               �[1;32m    117�[0m �[38;5;124;03mresponse.�[39;00m

E               �[0;32m   (...)�[0m

E               �[1;32m    135�[0m �[38;5;124;03m    the results of the prediction, parsed by output column name.�[39;00m

E               �[1;32m    136�[0m �[38;5;124;03m"""�[39;00m

E               �[1;32m    137�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E               �[0;32m--> 138�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E               �[1;32m    139�[0m     response �[38;5;241m=�[39m send_triton_request(

E               �[1;32m    140�[0m         schema, df, output_columns, client�[38;5;241m=�[39mclient, triton_model�[38;5;241m=�[39mmodel_name

E               �[1;32m    141�[0m     )

E               �[1;32m    143�[0m �[38;5;28;01mreturn�[39;00m response

E

E               File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

E               �[1;32m    111�[0m �[38;5;28;01mdel�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39margs, �[38;5;28mself�[39m�[38;5;241m.�[39mkwds, �[38;5;28mself�[39m�[38;5;241m.�[39mfunc

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E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:58�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

E               �[1;32m     56�[0m     �[38;5;28;01mwith�[39;00m grpcclient�[38;5;241m.�[39mInferenceServerClient(grpc_url) �[38;5;28;01mas�[39;00m client:

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E

E               �[0;31mRuntimeError�[0m: Another tritonserver is already running on localhost:8001

E               RuntimeError: Another tritonserver is already running on localhost:8001


../../../.local/lib/python3.8/site-packages/testbook/client.py:135: TestbookRuntimeError

----------------------------- Captured stderr call -----------------------------

2022-11-30 20:59:16.968989: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-11-30 20:59:21.100819: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-30 20:59:21.101571: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14500 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-11-30 20:59:21.102234: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 14500 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-11-30 20:59:21.102864: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 14500 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

WARNING clustering 441 points to 32 centroids: please provide at least 1248 training points

2022-11-30 21:00:44.932228: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-11-30 21:00:49.023614: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-30 21:00:49.024917: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 13875 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-11-30 21:00:49.026563: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 13875 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-11-30 21:00:49.027158: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 13875 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

__________________________________ test_func ___________________________________


def test_func():
    with testbook(
        REPO_ROOT / "examples" / "scaling-criteo" / "02-ETL-with-NVTabular.ipynb",
        execute=False,
        timeout=180,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/input/criteo/"
            os.environ["INPUT_DATA_DIR"] = "/tmp/input/criteo/"
            os.environ["OUTPUT_DATA_DIR"] = "/tmp/output/criteo/"
            os.system("mkdir -p /tmp/input/criteo")
            os.system("mkdir -p /tmp/output/criteo")

            from merlin.datasets.synthetic import generate_data

            train, valid = generate_data("criteo", int(100000), set_sizes=(0.7, 0.3))

            train.to_ddf().compute().to_parquet('/tmp/input/criteo/day_0.parquet')
            valid.to_ddf().compute().to_parquet('/tmp/input/criteo/day_1.parquet')
            """
        )





      tb1.execute()





tests/unit/examples/test_scaling_criteo_merlin_models.py:33:




../../../.local/lib/python3.8/site-packages/testbook/client.py:147: in execute

super().execute_cell(cell, index)

../../../.local/lib/python3.8/site-packages/nbclient/util.py:84: in wrapped

return just_run(coro(*args, **kwargs))

../../../.local/lib/python3.8/site-packages/nbclient/util.py:62: in just_run

return loop.run_until_complete(coro)

/usr/lib/python3.8/asyncio/base_events.py:616: in run_until_complete

return future.result()

../../../.local/lib/python3.8/site-packages/nbclient/client.py:965: in async_execute_cell

await self._check_raise_for_error(cell, cell_index, exec_reply)




self = <testbook.client.TestbookNotebookClient object at 0x7f6fb3e0daf0>

cell = {'cell_type': 'code', 'execution_count': 7, 'metadata': {'jupyter': {'outputs_hidden': False}, 'execution': {'iopub.st...pool_size=(device_pool_size // 256) * 256\n    )\n\n# Create the distributed client\nclient = Client(cluster)\nclient'}

cell_index = 12

exec_reply = {'buffers': [], 'content': {'ename': 'MemoryError', 'engine_info': {'engine_id': -1, 'engine_uuid': 'e3a886b4-bd82-486...e, 'engine': 'e3a886b4-bd82-4863-877e-e87f1a1ebe91', 'started': '2022-11-30T21:01:01.453037Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E           # Dask dashboard

E           dashboard_port = "8787"

E

E           # Deploy a Single-Machine Multi-GPU Cluster

E           protocol = "tcp"  # "tcp" or "ucx"

E           if numba.cuda.is_available():

E               NUM_GPUS = list(range(len(numba.cuda.gpus)))

E           else:

E               NUM_GPUS = []

E           visible_devices = ",".join([str(n) for n in NUM_GPUS])  # Select devices to place workers

E           device_limit_frac = 0.7  # Spill GPU-Worker memory to host at this limit.

E           device_pool_frac = 0.8

E           part_mem_frac = 0.15

E

E           # Use total device size to calculate args.device_limit_frac

E           device_size = device_mem_size(kind="total")

E           device_limit = int(device_limit_frac * device_size)

E           device_pool_size = int(device_pool_frac * device_size)

E           part_size = int(part_mem_frac * device_size)

E

E           # Check if any device memory is already occupied

E           for dev in visible_devices.split(","):

E               fmem = pynvml_mem_size(kind="free", index=int(dev))

E               used = (device_size - fmem) / 1e9

E               if used > 1.0:

E                   warnings.warn(f"BEWARE - {used} GB is already occupied on device {int(dev)}!")

E

E           cluster = None  # (Optional) Specify existing scheduler port

E           if cluster is None:

E               cluster = LocalCUDACluster(

E                   protocol=protocol,

E                   n_workers=len(visible_devices.split(",")),

E                   CUDA_VISIBLE_DEVICES=visible_devices,

E                   device_memory_limit=device_limit,

E                   local_directory=dask_workdir,

E                   dashboard_address=":" + dashboard_port,

E                   rmm_pool_size=(device_pool_size // 256) * 256

E               )

E

E           # Create the distributed client

E           client = Client(cluster)

E           client

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mMemoryError�[0m                               Traceback (most recent call last)

E           Cell �[0;32mIn [7], line 30�[0m

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E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/dask_cuda/local_cuda_cluster.py:367�[0m, in �[0;36mLocalCUDACluster.__init__�[0;34m(self, CUDA_VISIBLE_DEVICES, n_workers, threads_per_worker, memory_limit, device_memory_limit, data, local_directory, shared_filesystem, protocol, enable_tcp_over_ucx, enable_infiniband, enable_nvlink, enable_rdmacm, rmm_pool_size, rmm_maximum_pool_size, rmm_managed_memory, rmm_async, rmm_log_directory, rmm_track_allocations, jit_unspill, log_spilling, worker_class, pre_import, **kwargs)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:309�[0m, in �[0;36mSyncMethodMixin.sync�[0;34m(self, func, asynchronous, callback_timeout, args, **kwargs)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:376�[0m, in �[0;36msync�[0;34m(loop, func, callback_timeout, *args, **kwargs)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:349�[0m, in �[0;36msync..f�[0;34m()�[0m

E           �[1;32m    347�[0m         future �[38;5;241m=�[39m asyncio�[38;5;241m.�[39mwait_for(future, callback_timeout)

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg/tornado/gen.py:762�[0m, in �[0;36mRunner.run�[0;34m(self)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/deploy/spec.py:352�[0m, in �[0;36mSpecCluster._correct_state_internal�[0;34m(self)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/core.py:299�[0m, in �[0;36mServer.await.._�[0;34m()�[0m

E           �[1;32m    293�[0m             �[38;5;28;01mraise�[39;00m �[38;5;167;01mTimeoutError�[39;00m(

E           �[1;32m    294�[0m                 �[38;5;124m"�[39m�[38;5;132;01m{}�[39;00m�[38;5;124m failed to start in �[39m�[38;5;132;01m{}�[39;00m�[38;5;124m seconds�[39m�[38;5;124m"�[39m�[38;5;241m.�[39mformat(

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E           MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError

----------------------------- Captured stderr call -----------------------------

2022-11-30 21:01:04,489 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 21:01:04,509 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 21:01:04,517 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 21:01:04,535 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 21:01:05,051 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 21:01:05,052 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 21:01:07,816 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-ja9scb6j', purging

2022-11-30 21:01:07,817 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 21:01:08,095 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 21:01:08,096 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 21:01:10,894 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-4r40d9q7', purging

2022-11-30 21:01:10,894 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 21:01:10,901 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 21:01:10,916 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 21:01:10,985 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 21:01:11,457 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 21:01:11,458 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 21:01:11,479 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 21:01:11,479 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 21:01:11,548 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 21:01:11,549 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 21:01:11,597 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 21:01:11,599 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 21:01:14,197 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-0a8ymqkl', purging

2022-11-30 21:01:14,198 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-6ydxgto5', purging

2022-11-30 21:01:14,198 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-8w8dp96a', purging

2022-11-30 21:01:14,198 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-7fw1pvsf', purging

2022-11-30 21:01:14,199 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-11-30 21:01:14,469 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-11-30 21:01:14,470 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

/usr/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 42 leaked semaphore objects to clean up at shutdown

warnings.warn('resource_tracker: There appear to be %d '


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       356    213    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          195    108    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   122     17    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     29    79%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     41    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    163    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      1    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      2    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  147     56    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     38    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     97    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     38    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    164    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          603    345    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     29    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     81    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     17    73%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      1    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                               379    114    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/dataframe_iter.py                         21     17    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/tf_utils.py                               57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/utils.py                                  40     15    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   70      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49     15    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                             99     75    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     175     95    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    111    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    114    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    161    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              175    121    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                106     71    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     84    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                64     39    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39     16    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    162    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    268    148    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               758    357    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    110    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     24    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        101     54    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    63     14    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       282    212    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         158     75    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31      8    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     33    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     40    79%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229     58    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      6    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               122     74    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46     21    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               32      8    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77     23    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     54    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/fil.py                                 211    117    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79      7    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/session_filter.py                       45     28    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51     17    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           67     20    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50     15    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/fil.py                  95     66    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           53      5    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                 145     47    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     34    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143    120    16%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    234    13%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     45    38%


TOTAL                                                                                                 15014   7373    51%


=================== 2 failed, 1 passed in 136.99s (0:02:16) ====================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

ERROR: InvocationError for command /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python -m pytest --cov-report term --cov merlin -rxs tests/unit (exited with code 1)

___________________________________ summary ____________________________________

ERROR:   test-gpu: commands failed

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_merlin] $ /bin/bash /tmp/jenkins1774250875501254762.sh

@nvidia-merlin-bot
Copy link
Contributor

Click to view CI Results
GitHub pull request #731 of commit d1c3e5e44843938bdb221bac17cfedced3ac040b, no merge conflicts.
Running as SYSTEM
Setting status of d1c3e5e44843938bdb221bac17cfedced3ac040b to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/666/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_merlin/workspace
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/731/*:refs/remotes/origin/pr/731/* # timeout=10
 > git rev-parse d1c3e5e44843938bdb221bac17cfedced3ac040b^{commit} # timeout=10
Checking out Revision d1c3e5e44843938bdb221bac17cfedced3ac040b (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f d1c3e5e44843938bdb221bac17cfedced3ac040b # timeout=10
Commit message: "Add information about the Merlin DAG"
 > git rev-list --no-walk 8ff535772a2b573af8968ed7d1ee0940f5211e81 # timeout=10
[workspace] $ /bin/bash /tmp/jenkins10627132525495257850.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.20,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.20,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.4,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='1996603426'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-xx0pqonw
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-xx0pqonw
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit a849a806fcefcadaabe4bb24ff89373263ffce09
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
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Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
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Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+22.ga849a80) (1.20.3)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (1.3.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (2022.3.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (1.10.0)
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Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (2022.3.0)
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Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (6.1)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (5.8.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (65.5.1)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
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Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (2022.2.1)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (1.2.0)
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Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (1.0.1)
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Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (4.1.0)
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Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+22.ga849a80) (4.0.0)
Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+22.ga849a80-py3-none-any.whl size=98126 sha256=466ebf8205592c9f29ad059409fa3ce569d7b1c8770d539c16b2e571ad14ead3
  Stored in directory: /tmp/pip-ephem-wheel-cache-l7r57m4t/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+22.ga849a80 treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-tpkck_8u
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-tpkck_8u
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit 5e4d8a106498847b5755f94a8e467c46cbf12c60
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+60.g5e4d8a10) (0.3.0+12.g78ecddd)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.3.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (2022.3.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.10.0)
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Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (21.3)
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Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+60.g5e4d8a10) (4.0.0)
Building wheels for collected packages: merlin-models
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+60.g5e4d8a10-py3-none-any.whl size=366424 sha256=2da6534f150e9deffae299aa993a1dfaa4cd09ee4f7f8c9a166ed117cb3b119c
  Stored in directory: /tmp/pip-ephem-wheel-cache-3_4f21qu/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-models-0.9.0+60.g5e4d8a10
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-pjdlswhm
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-pjdlswhm
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 3bcd555a7fdc1cdaca47379676c2f111750352a8
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+12.g3bcd555a) (0.3.0+12.g78ecddd)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+12.g3bcd555a) (1.8.1)
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.3/48.3 kB 1.7 MB/s eta 0:00:00
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.3.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2022.3.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (3.19.5)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2022.3.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (21.3)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.2.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (4.64.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (0.55.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (7.0.0)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+12.g3bcd555a) (1.20.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (0.4.3)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2022.5.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (5.4.1)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (0.12.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.0.4)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2.0.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2.4.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (3.1.2)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (6.1)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (5.8.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (65.5.1)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2022.2.1)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (4.0.0)
Building wheels for collected packages: nvtabular, merlin-dataloader
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+12.g3bcd555a-cp38-cp38-linux_x86_64.whl size=257601 sha256=3b57b2951d385d6b4bfbd7f1b92a190ffa3b24d6f2e95ef7342131cfeb2cb040
  Stored in directory: /tmp/pip-ephem-wheel-cache-bbz2qb8p/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=142fca2ef2c1e710148193bf722c9763ae8b322fc18647727061c1bd9db5d7ff
  Stored in directory: /tmp/pip-ephem-wheel-cache-bbz2qb8p/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built nvtabular merlin-dataloader
Installing collected packages: merlin-dataloader, nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 nvtabular-1.6.0+12.g3bcd555a
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-pqgc12ez
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-pqgc12ez
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 4f73ff5bd4121c1acaabdc01a123af4f986ffc78
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (1.3.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (3.19.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (2022.3.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (21.3)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (1.2.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (4.64.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (0.55.1)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (2022.5.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (7.0.0)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (2022.3.0)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+14.g4f73ff5) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+14.g4f73ff5) (0.4.3)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (5.4.1)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (2.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (0.12.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (1.0.4)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (2.0.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (2.4.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (3.1.2)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (6.1)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (5.8.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+14.g4f73ff5) (65.5.1)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+14.g4f73ff5) (0.38.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+14.g4f73ff5) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+14.g4f73ff5) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+14.g4f73ff5) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+14.g4f73ff5) (2022.2.1)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+14.g4f73ff5) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+14.g4f73ff5) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+14.g4f73ff5) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+14.g4f73ff5) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+14.g4f73ff5) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+14.g4f73ff5) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+14.g4f73ff5) (4.0.0)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+14.g4f73ff5-py3-none-any.whl size=119010 sha256=d70af391cbb57a51b4d3ae2442ad2f52532c5fe58e3f6a592d753bcd25349550
  Stored in directory: /tmp/pip-ephem-wheel-cache-igwx9hwb/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+14.g4f73ff5
test-gpu run-test: commands[4] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py .      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py .               [100%]


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       356    213    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          195    108    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   122     15    88%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     29    79%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     24    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    136    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      1    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      2    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  147     56    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     38    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     97    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     38    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    157    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          624    356    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     20    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     78    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     16    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      1    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                               379    113    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/dataframe_iter.py                         21     17    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/tf_utils.py                               57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/utils.py                                  40     15    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   70      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49      8    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                             99     75    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     175     95    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    107    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    108    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    151    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              175    121    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                106     71    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     71    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                64     39    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39      4    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    154    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    268    148    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               758    342    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    108    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     22    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        101     54    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    63     14    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       282    212    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         158     75    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31     10    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     31    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     33    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229     57    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      6    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               122     49    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46     20    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               32      8    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77      3    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     19    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/fil.py                                 211    117    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79      7    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/session_filter.py                       45     28    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51      1    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           67     18    73%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50      1    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/workflow.py                             65     19    71%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/fil.py                  95     66    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           53      4    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                 145     47    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     12    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143     74    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    210    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     13    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/init.py                            22     20     9%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py                               113     14    88%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/hugectr.py                             37     29    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/pytorch.py                             10      6    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/tensorflow.py                          32     13    59%


TOTAL                                                                                                 15314   7075    54%


======================== 3 passed in 293.94s (0:04:53) =========================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

___________________________________ summary ____________________________________

test-gpu: commands succeeded

congratulations :)

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[workspace] $ /bin/bash /tmp/jenkins10737108515133556771.sh

@nvidia-merlin-bot
Copy link
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Click to view CI Results
GitHub pull request #731 of commit 787e88c486208b30f600428cb64a4fcfb85d73e0, no merge conflicts.
Running as SYSTEM
Setting status of 787e88c486208b30f600428cb64a4fcfb85d73e0 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/669/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_merlin/workspace
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/731/*:refs/remotes/origin/pr/731/* # timeout=10
 > git rev-parse 787e88c486208b30f600428cb64a4fcfb85d73e0^{commit} # timeout=10
Checking out Revision 787e88c486208b30f600428cb64a4fcfb85d73e0 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 787e88c486208b30f600428cb64a4fcfb85d73e0 # timeout=10
Commit message: "Add information about the Merlin DAG"
 > git rev-list --no-walk 84c9f5de5fd846a95d252d6a3ecf63ddfe6f0fb4 # timeout=10
[workspace] $ /bin/bash /tmp/jenkins5056576637564943171.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.21,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.21,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.4,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='1770026436'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-9gyhvq7m
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-9gyhvq7m
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit 4f3d92dc259971eee2fee319713b0d7a08a57c54
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+24.g4f3d92d) (1.1.1)
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 852.7/852.7 kB 7.2 MB/s eta 0:00:00
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+24.g4f3d92d) (2.22.0)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+24.g4f3d92d) (0.3.0+12.g78ecddd)
Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.5/191.5 kB 144.4 MB/s eta 0:00:00
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+24.g4f3d92d) (1.8.1)
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+24.g4f3d92d) (1.20.3)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (0.55.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (21.3)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.3.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (4.64.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (7.0.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (2022.3.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (3.19.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.10.0)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (2022.3.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (5.4.1)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (2.2.0)
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Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (65.5.1)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
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Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (2.8.2)
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Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.52.0)
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Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+24.g4f3d92d-py3-none-any.whl size=100465 sha256=2fe4ecfb4216a1d3ee59c4a828f3af4cb89f5da68bfaa56e1657e0e82ad1dd1b
  Stored in directory: /tmp/pip-ephem-wheel-cache-4b00r1qe/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+24.g4f3d92d treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-hff9hh9m
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-hff9hh9m
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit e08a72c9c59416a9000e62d25548eb08367fc3fa
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+61.ge08a72c9) (0.3.0+12.g78ecddd)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.55.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (21.3)
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Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.10.0)
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Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2022.5.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.2.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.0.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (8.1.3)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (6.1)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.7.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (3.1.2)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (5.8.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.0.4)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (65.5.1)
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Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2022.2.1)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (4.0.0)
Building wheels for collected packages: merlin-models
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+61.ge08a72c9-py3-none-any.whl size=367208 sha256=22e80fc1f106712773424e448c7e86da329795182a4bbaa900c31f5b6a73e84b
  Stored in directory: /tmp/pip-ephem-wheel-cache-borxx1cx/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-models-0.9.0+61.ge08a72c9
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-sqe_3vec
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-sqe_3vec
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 51af616069689b3ba57e8842a6f4a20377795df7
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.3/48.3 kB 1.6 MB/s eta 0:00:00
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+13.g51af6160) (1.8.1)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+13.g51af6160) (0.3.0+12.g78ecddd)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (0.55.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (21.3)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.3.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (4.64.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (7.0.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2022.3.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (3.19.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.10.0)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2022.3.0)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+13.g51af6160) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (5.4.1)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2022.5.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.2.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2.0.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (8.1.3)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (6.1)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.7.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (3.1.2)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (5.8.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.0.4)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (65.5.1)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2022.2.1)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (4.0.0)
Building wheels for collected packages: nvtabular, merlin-dataloader
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+13.g51af6160-cp38-cp38-linux_x86_64.whl size=257601 sha256=ce12d19d7ef69bfb36d92d1b6770cd17460d5df8aa587e284a69776f4b5c2508
  Stored in directory: /tmp/pip-ephem-wheel-cache-aaz62vjx/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=4011d2235aed25e6f41672f6dd6c99852cf0f8a36dc2ba27ef337a1c15986724
  Stored in directory: /tmp/pip-ephem-wheel-cache-aaz62vjx/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built nvtabular merlin-dataloader
Installing collected packages: merlin-dataloader, nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 nvtabular-1.6.0+13.g51af6160
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-twb9ctfn
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-twb9ctfn
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 4f73ff5bd4121c1acaabdc01a123af4f986ffc78
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (0.55.1)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (2022.5.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (21.3)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (1.3.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (4.64.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (7.0.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (3.19.5)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (2022.3.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (1.10.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+14.g4f73ff5) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+14.g4f73ff5) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (5.4.1)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (1.2.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (2.0.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (8.1.3)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (6.1)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (1.7.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (3.1.2)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (5.8.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (1.0.4)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+14.g4f73ff5) (65.5.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+14.g4f73ff5) (1.20.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+14.g4f73ff5) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+14.g4f73ff5) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+14.g4f73ff5) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+14.g4f73ff5) (2022.2.1)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+14.g4f73ff5) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+14.g4f73ff5) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+14.g4f73ff5) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+14.g4f73ff5) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+14.g4f73ff5) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+14.g4f73ff5) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+14.g4f73ff5) (4.0.0)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+14.g4f73ff5-py3-none-any.whl size=119010 sha256=46b2ed2d9ae6f6f338b4bd6a477d89445c20265d9cb3bf54c4834a21ae65470c
  Stored in directory: /tmp/pip-ephem-wheel-cache-aefl1rhi/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+14.g4f73ff5
test-gpu run-test: commands[4] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py F      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py F               [100%]


=================================== FAILURES ===================================

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7f07a560cd60>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:





          cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)





../../../.local/lib/python3.8/site-packages/testbook/client.py:133:




args = (<testbook.client.TestbookNotebookClient object at 0x7f07a560cd60>, {'id': '57bb182e', 'cell_type': 'code', 'metadata'...on\x1b[0m: [StatusCode.INVALID_ARGUMENT] unexpected inference output 'ordered_ids' for model 'ensemble_model'"]}]}, 55)

kwargs = {}


def wrapped(*args, **kwargs):





  return just_run(coro(*args, **kwargs))





../../../.local/lib/python3.8/site-packages/nbclient/util.py:84:




coro = <coroutine object NotebookClient.async_execute_cell at 0x7f07a4a84ec0>


def just_run(coro: Awaitable) -> Any:
    """Make the coroutine run, even if there is an event loop running (using nest_asyncio)"""
    # original from vaex/asyncio.py
    loop = asyncio._get_running_loop()
    if loop is None:
        had_running_loop = False
        try:
            loop = asyncio.get_event_loop()
        except RuntimeError:
            # we can still get 'There is no current event loop in ...'
            loop = asyncio.new_event_loop()
            asyncio.set_event_loop(loop)
    else:
        had_running_loop = True
    if had_running_loop:
        # if there is a running loop, we patch using nest_asyncio
        # to have reentrant event loops
        check_ipython()
        import nest_asyncio

        nest_asyncio.apply()
        check_patch_tornado()





  return loop.run_until_complete(coro)





../../../.local/lib/python3.8/site-packages/nbclient/util.py:62:




self = <_UnixSelectorEventLoop running=False closed=False debug=False>

future = <Task finished name='Task-377' coro=<NotebookClient.async_execute_cell() done, defined at /var/jenkins_home/.local/lib...rException: [StatusCode.INVALID_ARGUMENT] unexpected inference output 'ordered_ids' for model 'ensemble_model'\n')>


def run_until_complete(self, future):
    """Run until the Future is done.

    If the argument is a coroutine, it is wrapped in a Task.

    WARNING: It would be disastrous to call run_until_complete()
    with the same coroutine twice -- it would wrap it in two
    different Tasks and that can't be good.

    Return the Future's result, or raise its exception.
    """
    self._check_closed()
    self._check_running()

    new_task = not futures.isfuture(future)
    future = tasks.ensure_future(future, loop=self)
    if new_task:
        # An exception is raised if the future didn't complete, so there
        # is no need to log the "destroy pending task" message
        future._log_destroy_pending = False

    future.add_done_callback(_run_until_complete_cb)
    try:
        self.run_forever()
    except:
        if new_task and future.done() and not future.cancelled():
            # The coroutine raised a BaseException. Consume the exception
            # to not log a warning, the caller doesn't have access to the
            # local task.
            future.exception()
        raise
    finally:
        future.remove_done_callback(_run_until_complete_cb)
    if not future.done():
        raise RuntimeError('Event loop stopped before Future completed.')





  return future.result()





/usr/lib/python3.8/asyncio/base_events.py:616:




self = <testbook.client.TestbookNotebookClient object at 0x7f07a560cd60>

cell = {'id': '57bb182e', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-02T14:20:55.134324Z',...ception\x1b[0m: [StatusCode.INVALID_ARGUMENT] unexpected inference output 'ordered_ids' for model 'ensemble_model'"]}]}

cell_index = 55, execution_count = None, store_history = True


async def async_execute_cell(
    self,
    cell: NotebookNode,
    cell_index: int,
    execution_count: t.Optional[int] = None,
    store_history: bool = True,
) -> NotebookNode:
    """
    Executes a single code cell.

    To execute all cells see :meth:`execute`.

    Parameters
    ----------
    cell : nbformat.NotebookNode
        The cell which is currently being processed.
    cell_index : int
        The position of the cell within the notebook object.
    execution_count : int
        The execution count to be assigned to the cell (default: Use kernel response)
    store_history : bool
        Determines if history should be stored in the kernel (default: False).
        Specific to ipython kernels, which can store command histories.

    Returns
    -------
    output : dict
        The execution output payload (or None for no output).

    Raises
    ------
    CellExecutionError
        If execution failed and should raise an exception, this will be raised
        with defaults about the failure.

    Returns
    -------
    cell : NotebookNode
        The cell which was just processed.
    """
    assert self.kc is not None

    await run_hook(self.on_cell_start, cell=cell, cell_index=cell_index)

    if cell.cell_type != 'code' or not cell.source.strip():
        self.log.debug("Skipping non-executing cell %s", cell_index)
        return cell

    if self.skip_cells_with_tag in cell.metadata.get("tags", []):
        self.log.debug("Skipping tagged cell %s", cell_index)
        return cell

    if self.record_timing:  # clear execution metadata prior to execution
        cell['metadata']['execution'] = {}

    self.log.debug("Executing cell:\n%s", cell.source)

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors or "raises-exception" in cell.metadata.get("tags", [])
    )

    await run_hook(self.on_cell_execute, cell=cell, cell_index=cell_index)
    parent_msg_id = await ensure_async(
        self.kc.execute(
            cell.source, store_history=store_history, stop_on_error=not cell_allows_errors
        )
    )
    await run_hook(self.on_cell_complete, cell=cell, cell_index=cell_index)
    # We launched a code cell to execute
    self.code_cells_executed += 1
    exec_timeout = self._get_timeout(cell)

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:
        exec_reply = await self.task_poll_for_reply
    except asyncio.CancelledError:
        # can only be cancelled by task_poll_kernel_alive when the kernel is dead
        task_poll_output_msg.cancel()
        raise DeadKernelError("Kernel died")
    except Exception as e:
        # Best effort to cancel request if it hasn't been resolved
        try:
            # Check if the task_poll_output is doing the raising for us
            if not isinstance(e, CellControlSignal):
                task_poll_output_msg.cancel()
        finally:
            raise

    if execution_count:
        cell['execution_count'] = execution_count





  await self._check_raise_for_error(cell, cell_index, exec_reply)





../../../.local/lib/python3.8/site-packages/nbclient/client.py:965:




self = <testbook.client.TestbookNotebookClient object at 0x7f07a560cd60>

cell = {'id': '57bb182e', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-02T14:20:55.134324Z',...ception\x1b[0m: [StatusCode.INVALID_ARGUMENT] unexpected inference output 'ordered_ids' for model 'ensemble_model'"]}]}

cell_index = 55

exec_reply = {'buffers': [], 'content': {'ename': 'InferenceServerException', 'engine_info': {'engine_id': -1, 'engine_uuid': '61ec...e, 'engine': '61ec042d-362d-48d0-bca7-2ef94f6e6c47', 'started': '2022-12-02T14:20:55.134649Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E

E           import shutil

E           from merlin.core.dispatch import get_lib

E           from merlin.models.loader.tf_utils import configure_tensorflow

E           configure_tensorflow()

E           df_lib = get_lib()

E           batch = df_lib.read_parquet(

E               os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E               num_rows=1,

E               columns=["user_id_raw"],

E           )

E           from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E           response = run_ensemble_on_tritonserver(

E               "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E           )

E           response = [x.tolist()[0] for x in response["ordered_ids"]]

E           shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mInferenceServerException�[0m                  Traceback (most recent call last)

E           Cell �[0;32mIn [32], line 12�[0m

E           �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E           �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E           �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E           �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E           �[1;32m     10�[0m )

E           �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E           �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E           �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E           �[1;32m     14�[0m �[43m)�[49m

E           �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E           �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:140�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E           �[1;32m    138�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E           �[1;32m    139�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E           �[0;32m--> 140�[0m     response �[38;5;241m=�[39m �[43msend_triton_request�[49m�[43m(�[49m

E           �[1;32m    141�[0m �[43m        �[49m�[43mschema�[49m�[43m,�[49m�[43m �[49m�[43mdf�[49m�[43m,�[49m�[43m �[49m�[43moutput_columns�[49m�[43m,�[49m�[43m �[49m�[43mclient�[49m�[38;5;241;43m=�[39;49m�[43mclient�[49m�[43m,�[49m�[43m �[49m�[43mtriton_model�[49m�[38;5;241;43m=�[39;49m�[43mmodel_name�[49m

E           �[1;32m    142�[0m �[43m    �[49m�[43m)�[49m

E           �[1;32m    144�[0m �[38;5;28;01mreturn�[39;00m response

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:193�[0m, in �[0;36msend_triton_request�[0;34m(schema, df, outputs_list, client, endpoint, request_id, triton_model)�[0m

E           �[1;32m    191�[0m outputs �[38;5;241m=�[39m [grpcclient�[38;5;241m.�[39mInferRequestedOutput(col) �[38;5;28;01mfor�[39;00m col �[38;5;129;01min�[39;00m outputs_list]

E           �[1;32m    192�[0m �[38;5;28;01mwith�[39;00m client:

E           �[0;32m--> 193�[0m     response �[38;5;241m=�[39m �[43mclient�[49m�[38;5;241;43m.�[39;49m�[43minfer�[49m�[43m(�[49m�[43mtriton_model�[49m�[43m,�[49m�[43m �[49m�[43minputs�[49m�[43m,�[49m�[43m �[49m�[43mrequest_id�[49m�[38;5;241;43m=�[39;49m�[43mrequest_id�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[38;5;241;43m=�[39;49m�[43moutputs�[49m�[43m)�[49m

E           �[1;32m    195�[0m results �[38;5;241m=�[39m {}

E           �[1;32m    196�[0m �[38;5;28;01mfor�[39;00m col �[38;5;129;01min�[39;00m outputs_list:

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/tritonclient/grpc/init.py:1322�[0m, in �[0;36mInferenceServerClient.infer�[0;34m(self, model_name, inputs, model_version, outputs, request_id, sequence_id, sequence_start, sequence_end, priority, timeout, client_timeout, headers, compression_algorithm)�[0m

E           �[1;32m   1320�[0m     �[38;5;28;01mreturn�[39;00m result

E           �[1;32m   1321�[0m �[38;5;28;01mexcept�[39;00m grpc�[38;5;241m.�[39mRpcError �[38;5;28;01mas�[39;00m rpc_error:

E           �[0;32m-> 1322�[0m     �[43mraise_error_grpc�[49m�[43m(�[49m�[43mrpc_error�[49m�[43m)�[49m

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/tritonclient/grpc/init.py:62�[0m, in �[0;36mraise_error_grpc�[0;34m(rpc_error)�[0m

E           �[1;32m     61�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mraise_error_grpc�[39m(rpc_error):

E           �[0;32m---> 62�[0m     �[38;5;28;01mraise�[39;00m get_error_grpc(rpc_error) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E           �[0;31mInferenceServerException�[0m: [StatusCode.INVALID_ARGUMENT] unexpected inference output 'ordered_ids' for model 'ensemble_model'

E           InferenceServerException: [StatusCode.INVALID_ARGUMENT] unexpected inference output 'ordered_ids' for model 'ensemble_model'


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError


During handling of the above exception, another exception occurred:


def test_func():
    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "01-Building-Recommender-Systems-with-Merlin.ipynb",
        execute=False,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["NUM_ROWS"] = "100000"
            os.system("mkdir -p /tmp/examples")
            os.environ["BASE_DIR"] = "/tmp/examples/"
            """
        )
        tb1.execute()
        assert os.path.isdir("/tmp/examples/dlrm")
        assert os.path.isdir("/tmp/examples/feature_repo")
        assert os.path.isdir("/tmp/examples/query_tower")
        assert os.path.isfile("/tmp/examples/item_embeddings.parquet")
        assert os.path.isfile("/tmp/examples/feature_repo/user_features.py")
        assert os.path.isfile("/tmp/examples/feature_repo/item_features.py")

    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "02-Deploying-multi-stage-RecSys-with-Merlin-Systems.ipynb",
        execute=False,
        timeout=180,
    ) as tb2:
        tb2.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["BASE_DIR"] = "/tmp/examples/"
            os.environ["topk_retrieval"] = "20"
            """
        )
        NUM_OF_CELLS = len(tb2.cells)
        tb2.execute_cell(list(range(0, NUM_OF_CELLS - 3)))
        top_k = tb2.ref("top_k")
        outputs = tb2.ref("outputs")
        assert outputs[0] == "ordered_ids"





      tb2.inject(





            """
            import shutil
            from merlin.core.dispatch import get_lib
            from merlin.models.loader.tf_utils import configure_tensorflow
            configure_tensorflow()
            df_lib = get_lib()
            batch = df_lib.read_parquet(
                os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),
                num_rows=1,
                columns=["user_id_raw"],
            )
            from merlin.systems.triton.utils import run_ensemble_on_tritonserver
            response = run_ensemble_on_tritonserver(
                "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"
            )
            response = [x.tolist()[0] for x in response["ordered_ids"]]
            shutil.rmtree("/tmp/examples/", ignore_errors=True)
            """
        )



tests/unit/examples/test_building_deploying_multi_stage_RecSys.py:61:




../../../.local/lib/python3.8/site-packages/testbook/client.py:237: in inject

cell = TestbookNode(self.execute_cell(inject_idx)) if run else TestbookNode(code_cell)




self = <testbook.client.TestbookNotebookClient object at 0x7f07a560cd60>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:
            cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)
        except CellExecutionError as ce:





          raise TestbookRuntimeError(ce.evalue, ce, self._get_error_class(ce.ename))





E               testbook.exceptions.TestbookRuntimeError: An error occurred while executing the following cell:

E               ------------------

E

E               import shutil

E               from merlin.core.dispatch import get_lib

E               from merlin.models.loader.tf_utils import configure_tensorflow

E               configure_tensorflow()

E               df_lib = get_lib()

E               batch = df_lib.read_parquet(

E                   os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E                   num_rows=1,

E                   columns=["user_id_raw"],

E               )

E               from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E               response = run_ensemble_on_tritonserver(

E                   "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E               )

E               response = [x.tolist()[0] for x in response["ordered_ids"]]

E               shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E               ------------------

E

E               �[0;31m---------------------------------------------------------------------------�[0m

E               �[0;31mInferenceServerException�[0m                  Traceback (most recent call last)

E               Cell �[0;32mIn [32], line 12�[0m

E               �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

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E               �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

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E               �[1;32m     10�[0m )

E               �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E               �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E               �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E               �[1;32m     14�[0m �[43m)�[49m

E               �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E               �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:140�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E               �[1;32m    138�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E               �[1;32m    139�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E               �[0;32m--> 140�[0m     response �[38;5;241m=�[39m �[43msend_triton_request�[49m�[43m(�[49m

E               �[1;32m    141�[0m �[43m        �[49m�[43mschema�[49m�[43m,�[49m�[43m �[49m�[43mdf�[49m�[43m,�[49m�[43m �[49m�[43moutput_columns�[49m�[43m,�[49m�[43m �[49m�[43mclient�[49m�[38;5;241;43m=�[39;49m�[43mclient�[49m�[43m,�[49m�[43m �[49m�[43mtriton_model�[49m�[38;5;241;43m=�[39;49m�[43mmodel_name�[49m

E               �[1;32m    142�[0m �[43m    �[49m�[43m)�[49m

E               �[1;32m    144�[0m �[38;5;28;01mreturn�[39;00m response

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:193�[0m, in �[0;36msend_triton_request�[0;34m(schema, df, outputs_list, client, endpoint, request_id, triton_model)�[0m

E               �[1;32m    191�[0m outputs �[38;5;241m=�[39m [grpcclient�[38;5;241m.�[39mInferRequestedOutput(col) �[38;5;28;01mfor�[39;00m col �[38;5;129;01min�[39;00m outputs_list]

E               �[1;32m    192�[0m �[38;5;28;01mwith�[39;00m client:

E               �[0;32m--> 193�[0m     response �[38;5;241m=�[39m �[43mclient�[49m�[38;5;241;43m.�[39;49m�[43minfer�[49m�[43m(�[49m�[43mtriton_model�[49m�[43m,�[49m�[43m �[49m�[43minputs�[49m�[43m,�[49m�[43m �[49m�[43mrequest_id�[49m�[38;5;241;43m=�[39;49m�[43mrequest_id�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[38;5;241;43m=�[39;49m�[43moutputs�[49m�[43m)�[49m

E               �[1;32m    195�[0m results �[38;5;241m=�[39m {}

E               �[1;32m    196�[0m �[38;5;28;01mfor�[39;00m col �[38;5;129;01min�[39;00m outputs_list:

E

E               File �[0;32m/usr/local/lib/python3.8/dist-packages/tritonclient/grpc/init.py:1322�[0m, in �[0;36mInferenceServerClient.infer�[0;34m(self, model_name, inputs, model_version, outputs, request_id, sequence_id, sequence_start, sequence_end, priority, timeout, client_timeout, headers, compression_algorithm)�[0m

E               �[1;32m   1320�[0m     �[38;5;28;01mreturn�[39;00m result

E               �[1;32m   1321�[0m �[38;5;28;01mexcept�[39;00m grpc�[38;5;241m.�[39mRpcError �[38;5;28;01mas�[39;00m rpc_error:

E               �[0;32m-> 1322�[0m     �[43mraise_error_grpc�[49m�[43m(�[49m�[43mrpc_error�[49m�[43m)�[49m

E

E               File �[0;32m/usr/local/lib/python3.8/dist-packages/tritonclient/grpc/init.py:62�[0m, in �[0;36mraise_error_grpc�[0;34m(rpc_error)�[0m

E               �[1;32m     61�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mraise_error_grpc�[39m(rpc_error):

E               �[0;32m---> 62�[0m     �[38;5;28;01mraise�[39;00m get_error_grpc(rpc_error) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E               �[0;31mInferenceServerException�[0m: [StatusCode.INVALID_ARGUMENT] unexpected inference output 'ordered_ids' for model 'ensemble_model'

E               InferenceServerException: [StatusCode.INVALID_ARGUMENT] unexpected inference output 'ordered_ids' for model 'ensemble_model'


../../../.local/lib/python3.8/site-packages/testbook/client.py:135: TestbookRuntimeError

----------------------------- Captured stderr call -----------------------------

2022-12-02 14:19:36.497401: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-02 14:19:40.640435: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-02 14:19:40.641184: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-02 14:19:40.641799: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-02 14:19:40.642438: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

WARNING clustering 464 points to 32 centroids: please provide at least 1248 training points

2022-12-02 14:20:48.086338: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-02 14:20:52.219131: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-02 14:20:52.220001: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14500 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-02 14:20:52.220587: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 14500 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-02 14:20:52.221187: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 14500 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

I1202 14:20:55.450064 5001 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7f1124000000' with size 268435456

I1202 14:20:55.450795 5001 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 536870912

I1202 14:20:55.459019 5001 model_lifecycle.cc:459] loading: 1_predicttensorflowtriton:1

I1202 14:20:55.459077 5001 model_lifecycle.cc:459] loading: 2_queryfaiss:1

I1202 14:20:55.459116 5001 model_lifecycle.cc:459] loading: 0_queryfeast:1

I1202 14:20:55.459160 5001 model_lifecycle.cc:459] loading: 3_queryfeast:1

I1202 14:20:55.459221 5001 model_lifecycle.cc:459] loading: 4_unrollfeatures:1

I1202 14:20:55.459259 5001 model_lifecycle.cc:459] loading: 5_predicttensorflowtriton:1

I1202 14:20:55.459353 5001 model_lifecycle.cc:459] loading: 6_softmaxsampling:1

I1202 14:20:55.748959 5001 tensorflow.cc:2536] TRITONBACKEND_Initialize: tensorflow

I1202 14:20:55.749020 5001 tensorflow.cc:2546] Triton TRITONBACKEND API version: 1.10

I1202 14:20:55.749028 5001 tensorflow.cc:2552] 'tensorflow' TRITONBACKEND API version: 1.10

I1202 14:20:55.749035 5001 tensorflow.cc:2576] backend configuration:

{"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}}

I1202 14:20:55.749077 5001 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 1_predicttensorflowtriton (version 1)

2022-12-02 14:20:55.749702: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-02 14:20:55.772558: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-02 14:20:55.772610: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-02 14:20:55.772748: I tensorflow/core/platform/cpu_feature_guard.cc:194] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE3 SSE4.1 SSE4.2 AVX

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-02 14:20:56.212452: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 2568 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-02 14:20:56.239267: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled

2022-12-02 14:20:56.241290: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-02 14:20:56.294716: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-02 14:20:56.318733: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 569042 microseconds.

I1202 14:20:56.329267 5001 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 1_predicttensorflowtriton (GPU device 0)

2022-12-02 14:20:56.329781: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-02 14:20:56.333042: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-02 14:20:56.333068: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-02 14:20:56.334971: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 2568 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-02 14:20:56.342317: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-02 14:20:56.399652: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-02 14:20:56.424579: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 94803 microseconds.

I1202 14:20:56.424884 5001 model_lifecycle.cc:693] successfully loaded '1_predicttensorflowtriton' version 1

1202 14:21:01.674558 5079 pb_stub.cc:1016] Non-graceful termination detected.

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7f088327c220>

msg_id = 'c2711541-b750ade5a7b694f708b78626_3795_14'

cell = {'id': '141ce318', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-02T14:22:45.933206Z',...ee("/tmp/input/criteo", ignore_errors=True)\nshutil.rmtree("/tmp/output/criteo", ignore_errors=True)\n', 'outputs': []}

timeout = 180

task_poll_output_msg = <Task pending name='Task-613' coro=<NotebookClient._async_poll_output_msg() running at /var/jenkins_home/.local/lib/py...ite-packages/nbclient/client.py:762> wait_for=<Future pending cb=[<TaskWakeupMethWrapper object at 0x7f08829db670>()]>>

task_poll_kernel_alive = <Task cancelled name='Task-612' coro=<NotebookClient._async_poll_kernel_alive() done, defined at /var/jenkins_home/.local/lib/python3.8/site-packages/nbclient/client.py:770>>


async def _async_poll_for_reply(
    self,
    msg_id: str,
    cell: NotebookNode,
    timeout: t.Optional[int],
    task_poll_output_msg: asyncio.Future,
    task_poll_kernel_alive: asyncio.Future,
) -> t.Dict:

    assert self.kc is not None
    new_timeout: t.Optional[float] = None
    if timeout is not None:
        deadline = monotonic() + timeout
        new_timeout = float(timeout)
    while True:
        try:





          msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout))





../../../.local/lib/python3.8/site-packages/nbclient/client.py:730:




obj = <coroutine object ZMQSocketChannel.get_msg at 0x7f087dff9240>


async def ensure_async(obj: Union[Awaitable, Any]) -> Any:
    """Convert a non-awaitable object to a coroutine if needed,
    and await it if it was not already awaited.
    """
    if inspect.isawaitable(obj):
        try:





          result = await obj





../../../.local/lib/python3.8/site-packages/nbclient/util.py:96:




self = <jupyter_client.channels.ZMQSocketChannel object at 0x7f08829b9ca0>

timeout = 180000.0


async def get_msg(self, timeout: t.Optional[float] = None) -> t.Dict[str, t.Any]:
    """Gets a message if there is one that is ready."""
    assert self.socket is not None
    if timeout is not None:
        timeout *= 1000  # seconds to ms
    ready = await self.socket.poll(timeout)

    if ready:
        res = await self._recv()
        return res
    else:





      raise Empty





E           _queue.Empty


/usr/local/lib/python3.8/dist-packages/jupyter_client/channels.py:230: Empty


During handling of the above exception, another exception occurred:


def test_func():
    with testbook(
        REPO_ROOT / "examples" / "scaling-criteo" / "02-ETL-with-NVTabular.ipynb",
        execute=False,
        timeout=180,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/input/criteo/"
            os.environ["INPUT_DATA_DIR"] = "/tmp/input/criteo/"
            os.environ["OUTPUT_DATA_DIR"] = "/tmp/output/criteo/"
            os.system("mkdir -p /tmp/input/criteo")
            os.system("mkdir -p /tmp/output/criteo")

            from merlin.datasets.synthetic import generate_data

            train, valid = generate_data("criteo", int(100000), set_sizes=(0.7, 0.3))

            train.to_ddf().compute().to_parquet('/tmp/input/criteo/day_0.parquet')
            valid.to_ddf().compute().to_parquet('/tmp/input/criteo/day_1.parquet')
            """
        )
        tb1.execute()
        assert os.path.isfile("/tmp/output/criteo/train/part_0.parquet")
        assert os.path.isfile("/tmp/output/criteo/valid/part_0.parquet")
        assert os.path.isfile("/tmp/output/criteo/workflow/metadata.json")

    with testbook(
        REPO_ROOT
        / "examples"
        / "scaling-criteo"
        / "03-Training-with-Merlin-Models-TensorFlow.ipynb",
        execute=False,
        timeout=180,
    ) as tb2:
        tb2.inject(
            """
            import os
            os.environ["INPUT_DATA_DIR"] = "/tmp/output/criteo/"
            """
        )
        tb2.execute()
        metrics = tb2.ref("eval_metrics")
        assert set(metrics.keys()) == set(
            [
                "auc",
                "binary_accuracy",
                "loss",
                "precision",
                "recall",
                "regularization_loss",
                "loss_batch",
            ]
        )
        assert os.path.isfile("/tmp/output/criteo/dlrm/saved_model.pb")

    with testbook(
        REPO_ROOT
        / "examples"
        / "scaling-criteo"
        / "04-Triton-Inference-with-Merlin-Models-TensorFlow.ipynb",
        execute=False,
        timeout=180,
    ) as tb3:
        tb3.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/output/criteo/"
            os.environ["INPUT_FOLDER"] = "/tmp/input/criteo/"
            """
        )
        NUM_OF_CELLS = len(tb3.cells)
        tb3.execute_cell(list(range(0, NUM_OF_CELLS - 5)))





      tb3.inject(





            """
            import shutil
            from merlin.systems.triton.utils import run_ensemble_on_tritonserver
            outputs = ensemble.output_schema.column_names
            response = run_ensemble_on_tritonserver(
                "/tmp/output/criteo/ensemble/",workflow.input_schema, batch.fillna(0),
                outputs, "ensemble_model"
            )
            response = [x.tolist()[0] for x in response["label/binary_classification_task"]]
            shutil.rmtree("/tmp/input/criteo", ignore_errors=True)
            shutil.rmtree("/tmp/output/criteo", ignore_errors=True)
            """
        )



tests/unit/examples/test_scaling_criteo_merlin_models.py:84:




../../../.local/lib/python3.8/site-packages/testbook/client.py:237: in inject

cell = TestbookNode(self.execute_cell(inject_idx)) if run else TestbookNode(code_cell)

../../../.local/lib/python3.8/site-packages/testbook/client.py:133: in execute_cell

cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)

../../../.local/lib/python3.8/site-packages/nbclient/util.py:84: in wrapped

return just_run(coro(*args, **kwargs))

../../../.local/lib/python3.8/site-packages/nbclient/util.py:62: in just_run

return loop.run_until_complete(coro)

/usr/lib/python3.8/asyncio/base_events.py:616: in run_until_complete

return future.result()

../../../.local/lib/python3.8/site-packages/nbclient/client.py:949: in async_execute_cell

exec_reply = await self.task_poll_for_reply

../../../.local/lib/python3.8/site-packages/nbclient/client.py:754: in _async_poll_for_reply

await self._async_handle_timeout(timeout, cell)




self = <testbook.client.TestbookNotebookClient object at 0x7f088327c220>

timeout = 180

cell = {'id': '141ce318', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-02T14:22:45.933206Z',...ee("/tmp/input/criteo", ignore_errors=True)\nshutil.rmtree("/tmp/output/criteo", ignore_errors=True)\n', 'outputs': []}


async def _async_handle_timeout(
    self, timeout: int, cell: t.Optional[NotebookNode] = None
) -> None:

    self.log.error("Timeout waiting for execute reply (%is)." % timeout)
    if self.interrupt_on_timeout:
        self.log.error("Interrupting kernel")
        assert self.km is not None
        await ensure_async(self.km.interrupt_kernel())
    else:





      raise CellTimeoutError.error_from_timeout_and_cell(





            "Cell execution timed out", timeout, cell
        )



E           nbclient.exceptions.CellTimeoutError: A cell timed out while it was being executed, after 180 seconds.

E           The message was: Cell execution timed out.

E           Here is a preview of the cell contents:

E           -------------------

E

E           import shutil

E           from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E           outputs = ensemble.output_schema.column_names

E           response = run_ensemble_on_tritonserver(

E               "/tmp/output/criteo/ensemble/",workflow.input_schema, batch.fillna(0),

E               outputs, "ensemble_model"

E           )

E           response = [x.tolist()[0] for x in response["label/binary_classification_task"]]

E           shutil.rmtree("/tmp/input/criteo", ignore_errors=True)

E           shutil.rmtree("/tmp/output/criteo", ignore_errors=True)

E

E           -------------------


../../../.local/lib/python3.8/site-packages/nbclient/client.py:801: CellTimeoutError

----------------------------- Captured stdout call -----------------------------

Signal (2) received.

Signal (15) received.

Signal (15) received.

Signal (15) received.

Signal (15) received.

Signal (2) received.

Signal (15) received.

Signal (15) received.

Signal (15) received.

----------------------------- Captured stderr call -----------------------------

2022-12-02 14:21:13,834 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:21:13,845 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:21:13,852 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:21:13,873 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:21:14,447 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:21:14,447 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:21:17,069 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-udipa3i2', purging

2022-12-02 14:21:17,069 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

/usr/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 27 leaked semaphore objects to clean up at shutdown

warnings.warn('resource_tracker: There appear to be %d '

2022-12-02 14:21:36.670737: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-02 14:21:40.934280: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-12-02 14:21:40.934395: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-02 14:21:40.935189: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 1

2022-12-02 14:21:40.935267: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14500 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-02 14:21:40.935899: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 2

2022-12-02 14:21:40.935948: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 14500 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-02 14:21:40.936597: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 3

2022-12-02 14:21:40.936649: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 14500 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

2022-12-02 14:22:17.903326: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-02 14:22:22.140821: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-12-02 14:22:22.140920: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-02 14:22:22.142710: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 1

2022-12-02 14:22:22.142813: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14500 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-02 14:22:22.143836: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 2

2022-12-02 14:22:22.143937: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 14500 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-02 14:22:22.145620: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 3

2022-12-02 14:22:22.145715: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 14500 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

I1202 14:22:46.302258 6685 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7fe9c6000000' with size 268435456

I1202 14:22:46.303021 6685 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 536870912

I1202 14:22:46.308580 6685 model_lifecycle.cc:459] loading: 1_predicttensorflowtriton:1

I1202 14:22:46.308680 6685 model_lifecycle.cc:459] loading: 0_transformworkflowtriton:1

I1202 14:22:46.608318 6685 tensorflow.cc:2536] TRITONBACKEND_Initialize: tensorflow

I1202 14:22:46.608360 6685 tensorflow.cc:2546] Triton TRITONBACKEND API version: 1.10

I1202 14:22:46.608393 6685 tensorflow.cc:2552] 'tensorflow' TRITONBACKEND API version: 1.10

I1202 14:22:46.608399 6685 tensorflow.cc:2576] backend configuration:

{"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}}

I1202 14:22:46.608450 6685 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 1_predicttensorflowtriton (version 1)

2022-12-02 14:22:46.609327: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/output/criteo/ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-02 14:22:46.626512: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-02 14:22:46.626572: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/output/criteo/ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-02 14:22:46.626704: I tensorflow/core/platform/cpu_feature_guard.cc:194] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE3 SSE4.1 SSE4.2 AVX

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-02 14:22:47.062485: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-12-02 14:22:47.062598: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 11411 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-02 14:22:47.130486: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled

2022-12-02 14:22:47.137701: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-02 14:22:47.327032: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/output/criteo/ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-02 14:22:47.391057: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 781740 microseconds.

I1202 14:22:47.417014 6685 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 1_predicttensorflowtriton (GPU device 0)

2022-12-02 14:22:47.417554: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/output/criteo/ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-02 14:22:47.429843: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-02 14:22:47.429892: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/output/criteo/ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-02 14:22:47.431891: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 11411 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-02 14:22:47.461926: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-02 14:22:47.598168: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/output/criteo/ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-02 14:22:47.657222: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 239673 microseconds.

I1202 14:22:47.657606 6685 model_lifecycle.cc:693] successfully loaded '1_predicttensorflowtriton' version 1

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

I1202 14:22:56.517129 6685 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 0_transformworkflowtriton (GPU device 0)

I1202 14:23:03.820350 6685 model_lifecycle.cc:693] successfully loaded '0_transformworkflowtriton' version 1

I1202 14:23:03.822161 6685 model_lifecycle.cc:459] loading: ensemble_model:1

I1202 14:23:03.823012 6685 model_lifecycle.cc:693] successfully loaded 'ensemble_model' version 1

I1202 14:23:03.823138 6685 server.cc:561]

+------------------+------+

| Repository Agent | Path |

+------------------+------+

+------------------+------+


I1202 14:23:03.823254 6685 server.cc:588]

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Backend    | Path                                                            | Config                                                                                                                                                                      |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| tensorflow | /opt/tritonserver/backends/tensorflow2/libtriton_tensorflow2.so | {"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}} |

| python     | /opt/tritonserver/backends/python/libtriton_python.so           | {"cmdline":{"auto-complete-config":"true","min-compute-capability":"6.000000","backend-directory":"/opt/tritonserver/backends","default-max-batch-size":"4"}}               |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1202 14:23:03.823334 6685 server.cc:631]

+---------------------------+---------+--------+

| Model                     | Version | Status |

+---------------------------+---------+--------+

| 0_transformworkflowtriton | 1       | READY  |

| 1_predicttensorflowtriton | 1       | READY  |

| ensemble_model            | 1       | READY  |

+---------------------------+---------+--------+


I1202 14:23:03.891377 6685 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1202 14:23:03.892285 6685 tritonserver.cc:2214]

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Option                           | Value                                                                                                                                                                                        |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| server_id                        | triton                                                                                                                                                                                       |

| server_version                   | 2.25.0                                                                                                                                                                                       |

| server_extensions                | classification sequence model_repository model_repository(unload_dependents) schedule_policy model_configuration system_shared_memory cuda_shared_memory binary_tensor_data statistics trace |

| model_repository_path[0]         | /tmp/output/criteo/ensemble/                                                                                                                                                                 |

| model_control_mode               | MODE_NONE                                                                                                                                                                                    |

| strict_model_config              | 0                                                                                                                                                                                            |

| rate_limit                       | OFF                                                                                                                                                                                          |

| pinned_memory_pool_byte_size     | 268435456                                                                                                                                                                                    |

| cuda_memory_pool_byte_size{0}    | 536870912                                                                                                                                                                                    |

| response_cache_byte_size         | 0                                                                                                                                                                                            |

| min_supported_compute_capability | 6.0                                                                                                                                                                                          |

| strict_readiness                 | 1                                                                                                                                                                                            |

| exit_timeout                     | 30                                                                                                                                                                                           |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1202 14:23:03.893847 6685 grpc_server.cc:4610] Started GRPCInferenceService at localhost:8001

I1202 14:23:03.894056 6685 http_server.cc:3316] Started HTTPService at 0.0.0.0:8000

I1202 14:23:03.934985 6685 http_server.cc:178] Started Metrics Service at 0.0.0.0:8002

W1202 14:23:04.916406 6685 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

W1202 14:23:05.916594 6685 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

W1202 14:23:06.935429 6685 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

I1202 14:25:45.935032 6685 server.cc:262] Waiting for in-flight requests to complete.

I1202 14:25:45.935058 6685 server.cc:278] Timeout 30: Found 1 model versions that have in-flight inferences

I1202 14:25:45.935066 6685 server.cc:282] Model 'ensemble_model' (version 1) has 1 in-flight inferences

I1202 14:25:46.935597 6685 server.cc:278] Timeout 29: Found 1 model versions that have in-flight inferences

I1202 14:25:46.935641 6685 server.cc:282] Model 'ensemble_model' (version 1) has 1 in-flight inferences

I1202 14:25:47.935798 6685 server.cc:278] Timeout 28: Found 1 model versions that have in-flight inferences

I1202 14:25:47.935836 6685 server.cc:282] Model 'ensemble_model' (version 1) has 1 in-flight inferences

I1202 14:25:48.936002 6685 server.cc:278] Timeout 27: Found 1 model versions that have in-flight inferences

I1202 14:25:48.936052 6685 server.cc:282] Model 'ensemble_model' (version 1) has 1 in-flight inferences

------------------------------ Captured log call -------------------------------

ERROR    traitlets:client.py:795 Timeout waiting for execute reply (180s).


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       356    213    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          195    108    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   122     17    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     29    79%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     41    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    163    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      1    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      2    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  147     56    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     38    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     97    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     38    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    157    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          624    356    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     20    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     78    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     16    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                               379    113    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/dataframe_iter.py                         21     17    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/tf_utils.py                               57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/utils.py                                  40     15    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   70      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49      8    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                             99     75    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     175     95    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    107    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    108    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    151    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              182    125    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                106     71    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     71    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                64     39    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39      4    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    154    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    268    148    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               772    345    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    108    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     22    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        101     54    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    63     14    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       282    212    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         158     75    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31     10    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     31    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     34    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229     58    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      6    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               122     74    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46     21    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               32      8    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77     23    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     54    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/fil.py                                 211    117    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79      7    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/pytorch.py                              31     18    42%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/session_filter.py                       45     28    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51     17    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           67     20    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50     15    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/workflow.py                             29     18    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/fil.py                  95     66    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/pytorch.py              62     37    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           53      5    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/workflow.py             47     29    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                 157     49    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     17    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143    120    16%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    234    13%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     20    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/init.py                            22     20     9%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py                               113     93    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/hugectr.py                             37     29    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/pytorch.py                             10      6    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/tensorflow.py                          32     27    16%


TOTAL                                                                                                 15451   7521    51%


I1202 14:25:49.936131 6685 server.cc:278] Timeout 26: Found 1 model versions that have in-flight inferences

I1202 14:25:49.936197 6685 server.cc:282] Model 'ensemble_model' (version 1) has 1 in-flight inferences

I1202 14:25:50.936278 6685 server.cc:278] Timeout 25: Found 1 model versions that have in-flight inferences

I1202 14:25:50.936320 6685 server.cc:282] Model 'ensemble_model' (version 1) has 1 in-flight inferences

=================== 2 failed, 1 passed in 387.43s (0:06:27) ====================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

ERROR: InvocationError for command /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python -m pytest --cov-report term --cov merlin -rxs tests/unit (exited with code 1)

___________________________________ summary ____________________________________

ERROR:   test-gpu: commands failed

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[workspace] $ /bin/bash /tmp/jenkins14665030450957315295.sh

@mikemckiernan
Add information about the Merlin DAG
d9a832e 
- Define the important terms of the DAG.
- Incorporate Karl's information.
- Karl's info about Operators and ColumnSelectors.
- Karl's info about Dataset.
@nvidia-merlin-bot
Copy link
Contributor

Click to view CI Results
GitHub pull request #731 of commit d9a832eb7f0af70f8bb5fb9ef6fff9ea2de6c674, no merge conflicts.
Running as SYSTEM
Setting status of d9a832eb7f0af70f8bb5fb9ef6fff9ea2de6c674 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/670/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_merlin/workspace
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/731/*:refs/remotes/origin/pr/731/* # timeout=10
 > git rev-parse d9a832eb7f0af70f8bb5fb9ef6fff9ea2de6c674^{commit} # timeout=10
Checking out Revision d9a832eb7f0af70f8bb5fb9ef6fff9ea2de6c674 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f d9a832eb7f0af70f8bb5fb9ef6fff9ea2de6c674 # timeout=10
Commit message: "Add information about the Merlin DAG"
 > git rev-list --no-walk 787e88c486208b30f600428cb64a4fcfb85d73e0 # timeout=10
[workspace] $ /bin/bash /tmp/jenkins16965490315391545973.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.21,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.21,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.4,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='1384580172'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-fj89bw6x
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-fj89bw6x
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit 4f3d92dc259971eee2fee319713b0d7a08a57c54
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+24.g4f3d92d) (2.22.0)
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+24.g4f3d92d) (1.1.1)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+24.g4f3d92d) (0.3.0+12.g78ecddd)
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 852.7/852.7 kB 8.7 MB/s eta 0:00:00
Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.5/191.5 kB 131.0 MB/s eta 0:00:00
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+24.g4f3d92d) (1.8.1)
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+24.g4f3d92d) (1.20.3)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (21.3)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (3.19.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.3.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (7.0.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.2.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (2022.3.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (4.64.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.10.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (0.55.1)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (5.4.1)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (2022.5.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (2.2.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (6.1)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (2.0.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.7.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.0.4)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (5.8.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (3.1.2)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (8.1.3)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (2.4.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (65.5.1)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
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Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+24.g4f3d92d) (4.0.0)
Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+24.g4f3d92d-py3-none-any.whl size=100465 sha256=9e078e5c0f14e333863422c927d1bb8b05de23f6d5ce1a81b6c02a6fada8a326
  Stored in directory: /tmp/pip-ephem-wheel-cache-1mql4pq4/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+24.g4f3d92d treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-ezv62w2x
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-ezv62w2x
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit e08a72c9c59416a9000e62d25548eb08367fc3fa
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+61.ge08a72c9) (0.3.0+12.g78ecddd)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (21.3)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (3.19.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.3.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (7.0.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.2.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2022.3.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (4.64.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.10.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.55.1)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (5.4.1)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2022.5.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.2.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (6.1)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.0.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.7.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.0.4)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (5.8.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (3.1.2)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (8.1.3)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.4.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (65.5.1)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.38.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (4.0.0)
Building wheels for collected packages: merlin-models
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+61.ge08a72c9-py3-none-any.whl size=367208 sha256=3a0aae87a5281ba0a19c44b9b62af230019e8be709d9de8a566a543e84781d24
  Stored in directory: /tmp/pip-ephem-wheel-cache-3yogmqqi/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-models-0.9.0+61.ge08a72c9
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-8dx6jitp
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-8dx6jitp
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 51af616069689b3ba57e8842a6f4a20377795df7
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+13.g51af6160) (1.8.1)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+13.g51af6160) (0.3.0+12.g78ecddd)
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.3/48.3 kB 1.6 MB/s eta 0:00:00
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (21.3)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (3.19.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.3.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (7.0.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.2.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2022.3.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (4.64.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.10.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (0.55.1)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+13.g51af6160) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (5.4.1)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2022.5.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2.2.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (6.1)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2.0.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.7.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (1.0.4)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (5.8.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (3.1.2)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (8.1.3)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2.4.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (65.5.1)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (0.38.1)
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Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+13.g51af6160) (2.8.2)
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Building wheels for collected packages: nvtabular, merlin-dataloader
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+13.g51af6160-cp38-cp38-linux_x86_64.whl size=257601 sha256=a278d3245efad13bbf6e17cf551af1503047723f11d8052f3c497707ea9f93e6
  Stored in directory: /tmp/pip-ephem-wheel-cache-7c0l8zg9/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=069f794919f7936ecdfb4760b329d0008c08356381b46e1cbdd3ef98fc2e0b65
  Stored in directory: /tmp/pip-ephem-wheel-cache-7c0l8zg9/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built nvtabular merlin-dataloader
Installing collected packages: merlin-dataloader, nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 nvtabular-1.6.0+13.g51af6160
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-hv7aoz_6
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-hv7aoz_6
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 4f73ff5bd4121c1acaabdc01a123af4f986ffc78
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (21.3)
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Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+14.g4f73ff5) (2022.2.1)
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Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+14.g4f73ff5-py3-none-any.whl size=119010 sha256=770ff73574bc3bca20da4327719606791efede9e204773388b79d1d6898d3078
  Stored in directory: /tmp/pip-ephem-wheel-cache-yxigwa8y/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+14.g4f73ff5
test-gpu run-test: commands[4] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py F      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py F               [100%]


=================================== FAILURES ===================================

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7fda08867d30>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:





          cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)





../../../.local/lib/python3.8/site-packages/testbook/client.py:133:




args = (<testbook.client.TestbookNotebookClient object at 0x7fda08867d30>, {'id': '1a270371', 'cell_type': 'code', 'metadata'...pass\x1b[39;00m\n', '\x1b[0;31mRuntimeError\x1b[0m: Another tritonserver is already running on localhost:8001']}]}, 55)

kwargs = {}


def wrapped(*args, **kwargs):





  return just_run(coro(*args, **kwargs))





../../../.local/lib/python3.8/site-packages/nbclient/util.py:84:




coro = <coroutine object NotebookClient.async_execute_cell at 0x7fda07cdff40>


def just_run(coro: Awaitable) -> Any:
    """Make the coroutine run, even if there is an event loop running (using nest_asyncio)"""
    # original from vaex/asyncio.py
    loop = asyncio._get_running_loop()
    if loop is None:
        had_running_loop = False
        try:
            loop = asyncio.get_event_loop()
        except RuntimeError:
            # we can still get 'There is no current event loop in ...'
            loop = asyncio.new_event_loop()
            asyncio.set_event_loop(loop)
    else:
        had_running_loop = True
    if had_running_loop:
        # if there is a running loop, we patch using nest_asyncio
        # to have reentrant event loops
        check_ipython()
        import nest_asyncio

        nest_asyncio.apply()
        check_patch_tornado()





  return loop.run_until_complete(coro)





../../../.local/lib/python3.8/site-packages/nbclient/util.py:62:




self = <_UnixSelectorEventLoop running=False closed=False debug=False>

future = <Task finished name='Task-377' coro=<NotebookClient.async_execute_cell() done, defined at /var/jenkins_home/.local/lib...rver is already running on localhost:8001\nRuntimeError: Another tritonserver is already running on localhost:8001\n')>


def run_until_complete(self, future):
    """Run until the Future is done.

    If the argument is a coroutine, it is wrapped in a Task.

    WARNING: It would be disastrous to call run_until_complete()
    with the same coroutine twice -- it would wrap it in two
    different Tasks and that can't be good.

    Return the Future's result, or raise its exception.
    """
    self._check_closed()
    self._check_running()

    new_task = not futures.isfuture(future)
    future = tasks.ensure_future(future, loop=self)
    if new_task:
        # An exception is raised if the future didn't complete, so there
        # is no need to log the "destroy pending task" message
        future._log_destroy_pending = False

    future.add_done_callback(_run_until_complete_cb)
    try:
        self.run_forever()
    except:
        if new_task and future.done() and not future.cancelled():
            # The coroutine raised a BaseException. Consume the exception
            # to not log a warning, the caller doesn't have access to the
            # local task.
            future.exception()
        raise
    finally:
        future.remove_done_callback(_run_until_complete_cb)
    if not future.done():
        raise RuntimeError('Event loop stopped before Future completed.')





  return future.result()





/usr/lib/python3.8/asyncio/base_events.py:616:




self = <testbook.client.TestbookNotebookClient object at 0x7fda08867d30>

cell = {'id': '1a270371', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-02T14:39:11.769018Z',...8;01mpass\x1b[39;00m\n', '\x1b[0;31mRuntimeError\x1b[0m: Another tritonserver is already running on localhost:8001']}]}

cell_index = 55, execution_count = None, store_history = True


async def async_execute_cell(
    self,
    cell: NotebookNode,
    cell_index: int,
    execution_count: t.Optional[int] = None,
    store_history: bool = True,
) -> NotebookNode:
    """
    Executes a single code cell.

    To execute all cells see :meth:`execute`.

    Parameters
    ----------
    cell : nbformat.NotebookNode
        The cell which is currently being processed.
    cell_index : int
        The position of the cell within the notebook object.
    execution_count : int
        The execution count to be assigned to the cell (default: Use kernel response)
    store_history : bool
        Determines if history should be stored in the kernel (default: False).
        Specific to ipython kernels, which can store command histories.

    Returns
    -------
    output : dict
        The execution output payload (or None for no output).

    Raises
    ------
    CellExecutionError
        If execution failed and should raise an exception, this will be raised
        with defaults about the failure.

    Returns
    -------
    cell : NotebookNode
        The cell which was just processed.
    """
    assert self.kc is not None

    await run_hook(self.on_cell_start, cell=cell, cell_index=cell_index)

    if cell.cell_type != 'code' or not cell.source.strip():
        self.log.debug("Skipping non-executing cell %s", cell_index)
        return cell

    if self.skip_cells_with_tag in cell.metadata.get("tags", []):
        self.log.debug("Skipping tagged cell %s", cell_index)
        return cell

    if self.record_timing:  # clear execution metadata prior to execution
        cell['metadata']['execution'] = {}

    self.log.debug("Executing cell:\n%s", cell.source)

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors or "raises-exception" in cell.metadata.get("tags", [])
    )

    await run_hook(self.on_cell_execute, cell=cell, cell_index=cell_index)
    parent_msg_id = await ensure_async(
        self.kc.execute(
            cell.source, store_history=store_history, stop_on_error=not cell_allows_errors
        )
    )
    await run_hook(self.on_cell_complete, cell=cell, cell_index=cell_index)
    # We launched a code cell to execute
    self.code_cells_executed += 1
    exec_timeout = self._get_timeout(cell)

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:
        exec_reply = await self.task_poll_for_reply
    except asyncio.CancelledError:
        # can only be cancelled by task_poll_kernel_alive when the kernel is dead
        task_poll_output_msg.cancel()
        raise DeadKernelError("Kernel died")
    except Exception as e:
        # Best effort to cancel request if it hasn't been resolved
        try:
            # Check if the task_poll_output is doing the raising for us
            if not isinstance(e, CellControlSignal):
                task_poll_output_msg.cancel()
        finally:
            raise

    if execution_count:
        cell['execution_count'] = execution_count





  await self._check_raise_for_error(cell, cell_index, exec_reply)





../../../.local/lib/python3.8/site-packages/nbclient/client.py:965:




self = <testbook.client.TestbookNotebookClient object at 0x7fda08867d30>

cell = {'id': '1a270371', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-02T14:39:11.769018Z',...8;01mpass\x1b[39;00m\n', '\x1b[0;31mRuntimeError\x1b[0m: Another tritonserver is already running on localhost:8001']}]}

cell_index = 55

exec_reply = {'buffers': [], 'content': {'ename': 'RuntimeError', 'engine_info': {'engine_id': -1, 'engine_uuid': '228bb35c-e7ef-4f...e, 'engine': '228bb35c-e7ef-4f2f-ba8d-679d1748e288', 'started': '2022-12-02T14:39:11.769366Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E

E           import shutil

E           from merlin.core.dispatch import get_lib

E           from merlin.models.loader.tf_utils import configure_tensorflow

E           configure_tensorflow()

E           df_lib = get_lib()

E           batch = df_lib.read_parquet(

E               os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E               num_rows=1,

E               columns=["user_id_raw"],

E           )

E           from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E           response = run_ensemble_on_tritonserver(

E               "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E           )

E           response = [x.tolist()[0] for x in response["ordered_ids"]]

E           shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E           Cell �[0;32mIn [32], line 12�[0m

E           �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E           �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E           �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E           �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E           �[1;32m     10�[0m )

E           �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E           �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E           �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E           �[1;32m     14�[0m �[43m)�[49m

E           �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E           �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:139�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E           �[1;32m    116�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

E           �[1;32m    117�[0m �[38;5;124;03mprepares the inference request and returns the unparsed inference�[39;00m

E           �[1;32m    118�[0m �[38;5;124;03mresponse.�[39;00m

E           �[0;32m   (...)�[0m

E           �[1;32m    136�[0m �[38;5;124;03m    the results of the prediction, parsed by output column name.�[39;00m

E           �[1;32m    137�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    138�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E           �[0;32m--> 139�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E           �[1;32m    140�[0m     response �[38;5;241m=�[39m send_triton_request(

E           �[1;32m    141�[0m         schema, df, output_columns, client�[38;5;241m=�[39mclient, triton_model�[38;5;241m=�[39mmodel_name

E           �[1;32m    142�[0m     )

E           �[1;32m    144�[0m �[38;5;28;01mreturn�[39;00m response

E

E           File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

E           �[1;32m    111�[0m �[38;5;28;01mdel�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39margs, �[38;5;28mself�[39m�[38;5;241m.�[39mkwds, �[38;5;28mself�[39m�[38;5;241m.�[39mfunc

E           �[1;32m    112�[0m �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 113�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28;43mnext�[39;49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mgen�[49m�[43m)�[49m

E           �[1;32m    114�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mStopIteration�[39;00m:

E           �[1;32m    115�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124m"�[39m�[38;5;124mgenerator didn�[39m�[38;5;124m'�[39m�[38;5;124mt yield�[39m�[38;5;124m"�[39m) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:58�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

E           �[1;32m     56�[0m     �[38;5;28;01mwith�[39;00m grpcclient�[38;5;241m.�[39mInferenceServerClient(grpc_url) �[38;5;28;01mas�[39;00m client:

E           �[1;32m     57�[0m         �[38;5;28;01mif�[39;00m client�[38;5;241m.�[39mis_server_ready():

E           �[0;32m---> 58�[0m             �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124mf�[39m�[38;5;124m"�[39m�[38;5;124mAnother tritonserver is already running on �[39m�[38;5;132;01m{�[39;00mgrpc_url�[38;5;132;01m}�[39;00m�[38;5;124m"�[39m)

E           �[1;32m     59�[0m �[38;5;28;01mexcept�[39;00m tritonclient�[38;5;241m.�[39mutils�[38;5;241m.�[39mInferenceServerException:

E           �[1;32m     60�[0m     �[38;5;28;01mpass�[39;00m

E

E           �[0;31mRuntimeError�[0m: Another tritonserver is already running on localhost:8001

E           RuntimeError: Another tritonserver is already running on localhost:8001


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError


During handling of the above exception, another exception occurred:


def test_func():
    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "01-Building-Recommender-Systems-with-Merlin.ipynb",
        execute=False,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["NUM_ROWS"] = "100000"
            os.system("mkdir -p /tmp/examples")
            os.environ["BASE_DIR"] = "/tmp/examples/"
            """
        )
        tb1.execute()
        assert os.path.isdir("/tmp/examples/dlrm")
        assert os.path.isdir("/tmp/examples/feature_repo")
        assert os.path.isdir("/tmp/examples/query_tower")
        assert os.path.isfile("/tmp/examples/item_embeddings.parquet")
        assert os.path.isfile("/tmp/examples/feature_repo/user_features.py")
        assert os.path.isfile("/tmp/examples/feature_repo/item_features.py")

    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "02-Deploying-multi-stage-RecSys-with-Merlin-Systems.ipynb",
        execute=False,
        timeout=180,
    ) as tb2:
        tb2.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["BASE_DIR"] = "/tmp/examples/"
            os.environ["topk_retrieval"] = "20"
            """
        )
        NUM_OF_CELLS = len(tb2.cells)
        tb2.execute_cell(list(range(0, NUM_OF_CELLS - 3)))
        top_k = tb2.ref("top_k")
        outputs = tb2.ref("outputs")
        assert outputs[0] == "ordered_ids"





      tb2.inject(





            """
            import shutil
            from merlin.core.dispatch import get_lib
            from merlin.models.loader.tf_utils import configure_tensorflow
            configure_tensorflow()
            df_lib = get_lib()
            batch = df_lib.read_parquet(
                os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),
                num_rows=1,
                columns=["user_id_raw"],
            )
            from merlin.systems.triton.utils import run_ensemble_on_tritonserver
            response = run_ensemble_on_tritonserver(
                "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"
            )
            response = [x.tolist()[0] for x in response["ordered_ids"]]
            shutil.rmtree("/tmp/examples/", ignore_errors=True)
            """
        )



tests/unit/examples/test_building_deploying_multi_stage_RecSys.py:61:




../../../.local/lib/python3.8/site-packages/testbook/client.py:237: in inject

cell = TestbookNode(self.execute_cell(inject_idx)) if run else TestbookNode(code_cell)




self = <testbook.client.TestbookNotebookClient object at 0x7fda08867d30>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:
            cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)
        except CellExecutionError as ce:





          raise TestbookRuntimeError(ce.evalue, ce, self._get_error_class(ce.ename))





E               testbook.exceptions.TestbookRuntimeError: An error occurred while executing the following cell:

E               ------------------

E

E               import shutil

E               from merlin.core.dispatch import get_lib

E               from merlin.models.loader.tf_utils import configure_tensorflow

E               configure_tensorflow()

E               df_lib = get_lib()

E               batch = df_lib.read_parquet(

E                   os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E                   num_rows=1,

E                   columns=["user_id_raw"],

E               )

E               from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E               response = run_ensemble_on_tritonserver(

E                   "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E               )

E               response = [x.tolist()[0] for x in response["ordered_ids"]]

E               shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E               ------------------

E

E               �[0;31m---------------------------------------------------------------------------�[0m

E               �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E               Cell �[0;32mIn [32], line 12�[0m

E               �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E               �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E               �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E               �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E               �[1;32m     10�[0m )

E               �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E               �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E               �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E               �[1;32m     14�[0m �[43m)�[49m

E               �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E               �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:139�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E               �[1;32m    116�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

E               �[1;32m    117�[0m �[38;5;124;03mprepares the inference request and returns the unparsed inference�[39;00m

E               �[1;32m    118�[0m �[38;5;124;03mresponse.�[39;00m

E               �[0;32m   (...)�[0m

E               �[1;32m    136�[0m �[38;5;124;03m    the results of the prediction, parsed by output column name.�[39;00m

E               �[1;32m    137�[0m �[38;5;124;03m"""�[39;00m

E               �[1;32m    138�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E               �[0;32m--> 139�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E               �[1;32m    140�[0m     response �[38;5;241m=�[39m send_triton_request(

E               �[1;32m    141�[0m         schema, df, output_columns, client�[38;5;241m=�[39mclient, triton_model�[38;5;241m=�[39mmodel_name

E               �[1;32m    142�[0m     )

E               �[1;32m    144�[0m �[38;5;28;01mreturn�[39;00m response

E

E               File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

E               �[1;32m    111�[0m �[38;5;28;01mdel�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39margs, �[38;5;28mself�[39m�[38;5;241m.�[39mkwds, �[38;5;28mself�[39m�[38;5;241m.�[39mfunc

E               �[1;32m    112�[0m �[38;5;28;01mtry�[39;00m:

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E               �[1;32m    114�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mStopIteration�[39;00m:

E               �[1;32m    115�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124m"�[39m�[38;5;124mgenerator didn�[39m�[38;5;124m'�[39m�[38;5;124mt yield�[39m�[38;5;124m"�[39m) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:58�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

E               �[1;32m     56�[0m     �[38;5;28;01mwith�[39;00m grpcclient�[38;5;241m.�[39mInferenceServerClient(grpc_url) �[38;5;28;01mas�[39;00m client:

E               �[1;32m     57�[0m         �[38;5;28;01mif�[39;00m client�[38;5;241m.�[39mis_server_ready():

E               �[0;32m---> 58�[0m             �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124mf�[39m�[38;5;124m"�[39m�[38;5;124mAnother tritonserver is already running on �[39m�[38;5;132;01m{�[39;00mgrpc_url�[38;5;132;01m}�[39;00m�[38;5;124m"�[39m)

E               �[1;32m     59�[0m �[38;5;28;01mexcept�[39;00m tritonclient�[38;5;241m.�[39mutils�[38;5;241m.�[39mInferenceServerException:

E               �[1;32m     60�[0m     �[38;5;28;01mpass�[39;00m

E

E               �[0;31mRuntimeError�[0m: Another tritonserver is already running on localhost:8001

E               RuntimeError: Another tritonserver is already running on localhost:8001


../../../.local/lib/python3.8/site-packages/testbook/client.py:135: TestbookRuntimeError

----------------------------- Captured stderr call -----------------------------

2022-12-02 14:37:54.380606: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-02 14:37:58.551492: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-02 14:37:58.552270: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14500 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-02 14:37:58.553047: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 14500 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-02 14:37:58.553650: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 14500 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

WARNING clustering 448 points to 32 centroids: please provide at least 1248 training points

2022-12-02 14:39:04.833965: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-02 14:39:08.933576: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-02 14:39:08.934478: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14500 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-02 14:39:08.935842: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 14500 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-02 14:39:08.936998: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 14500 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

__________________________________ test_func ___________________________________


def test_func():
    with testbook(
        REPO_ROOT / "examples" / "scaling-criteo" / "02-ETL-with-NVTabular.ipynb",
        execute=False,
        timeout=180,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/input/criteo/"
            os.environ["INPUT_DATA_DIR"] = "/tmp/input/criteo/"
            os.environ["OUTPUT_DATA_DIR"] = "/tmp/output/criteo/"
            os.system("mkdir -p /tmp/input/criteo")
            os.system("mkdir -p /tmp/output/criteo")

            from merlin.datasets.synthetic import generate_data

            train, valid = generate_data("criteo", int(100000), set_sizes=(0.7, 0.3))

            train.to_ddf().compute().to_parquet('/tmp/input/criteo/day_0.parquet')
            valid.to_ddf().compute().to_parquet('/tmp/input/criteo/day_1.parquet')
            """
        )





      tb1.execute()





tests/unit/examples/test_scaling_criteo_merlin_models.py:33:




../../../.local/lib/python3.8/site-packages/testbook/client.py:147: in execute

super().execute_cell(cell, index)

../../../.local/lib/python3.8/site-packages/nbclient/util.py:84: in wrapped

return just_run(coro(*args, **kwargs))

../../../.local/lib/python3.8/site-packages/nbclient/util.py:62: in just_run

return loop.run_until_complete(coro)

/usr/lib/python3.8/asyncio/base_events.py:616: in run_until_complete

return future.result()

../../../.local/lib/python3.8/site-packages/nbclient/client.py:965: in async_execute_cell

await self._check_raise_for_error(cell, cell_index, exec_reply)




self = <testbook.client.TestbookNotebookClient object at 0x7fdae62686a0>

cell = {'cell_type': 'code', 'execution_count': 7, 'metadata': {'jupyter': {'outputs_hidden': False}, 'execution': {'iopub.st...pool_size=(device_pool_size // 256) * 256\n    )\n\n# Create the distributed client\nclient = Client(cluster)\nclient'}

cell_index = 12

exec_reply = {'buffers': [], 'content': {'ename': 'MemoryError', 'engine_info': {'engine_id': -1, 'engine_uuid': '5252563f-085e-4cb...e, 'engine': '5252563f-085e-4cb7-8c71-6b95171b5de5', 'started': '2022-12-02T14:39:20.749264Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E           # Dask dashboard

E           dashboard_port = "8787"

E

E           # Deploy a Single-Machine Multi-GPU Cluster

E           protocol = "tcp"  # "tcp" or "ucx"

E           if numba.cuda.is_available():

E               NUM_GPUS = list(range(len(numba.cuda.gpus)))

E           else:

E               NUM_GPUS = []

E           visible_devices = ",".join([str(n) for n in NUM_GPUS])  # Select devices to place workers

E           device_limit_frac = 0.7  # Spill GPU-Worker memory to host at this limit.

E           device_pool_frac = 0.8

E           part_mem_frac = 0.15

E

E           # Use total device size to calculate args.device_limit_frac

E           device_size = device_mem_size(kind="total")

E           device_limit = int(device_limit_frac * device_size)

E           device_pool_size = int(device_pool_frac * device_size)

E           part_size = int(part_mem_frac * device_size)

E

E           # Check if any device memory is already occupied

E           for dev in visible_devices.split(","):

E               fmem = pynvml_mem_size(kind="free", index=int(dev))

E               used = (device_size - fmem) / 1e9

E               if used > 1.0:

E                   warnings.warn(f"BEWARE - {used} GB is already occupied on device {int(dev)}!")

E

E           cluster = None  # (Optional) Specify existing scheduler port

E           if cluster is None:

E               cluster = LocalCUDACluster(

E                   protocol=protocol,

E                   n_workers=len(visible_devices.split(",")),

E                   CUDA_VISIBLE_DEVICES=visible_devices,

E                   device_memory_limit=device_limit,

E                   local_directory=dask_workdir,

E                   dashboard_address=":" + dashboard_port,

E                   rmm_pool_size=(device_pool_size // 256) * 256

E               )

E

E           # Create the distributed client

E           client = Client(cluster)

E           client

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mMemoryError�[0m                               Traceback (most recent call last)

E           Cell �[0;32mIn [7], line 30�[0m

E           �[1;32m     28�[0m cluster �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m  �[38;5;66;03m# (Optional) Specify existing scheduler port�[39;00m

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E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/dask_cuda/local_cuda_cluster.py:367�[0m, in �[0;36mLocalCUDACluster.__init__�[0;34m(self, CUDA_VISIBLE_DEVICES, n_workers, threads_per_worker, memory_limit, device_memory_limit, data, local_directory, shared_filesystem, protocol, enable_tcp_over_ucx, enable_infiniband, enable_nvlink, enable_rdmacm, rmm_pool_size, rmm_maximum_pool_size, rmm_managed_memory, rmm_async, rmm_log_directory, rmm_track_allocations, jit_unspill, log_spilling, worker_class, pre_import, **kwargs)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:309�[0m, in �[0;36mSyncMethodMixin.sync�[0;34m(self, func, asynchronous, callback_timeout, args, **kwargs)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:376�[0m, in �[0;36msync�[0;34m(loop, func, callback_timeout, *args, **kwargs)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:349�[0m, in �[0;36msync..f�[0;34m()�[0m

E           �[1;32m    347�[0m         future �[38;5;241m=�[39m asyncio�[38;5;241m.�[39mwait_for(future, callback_timeout)

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg/tornado/gen.py:762�[0m, in �[0;36mRunner.run�[0;34m(self)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/deploy/spec.py:352�[0m, in �[0;36mSpecCluster._correct_state_internal�[0;34m(self)�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/core.py:299�[0m, in �[0;36mServer.await.._�[0;34m()�[0m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/nanny.py:347�[0m, in �[0;36mNanny.start�[0;34m(self)�[0m

E           �[1;32m    344�[0m     �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mplugin_add(plugin�[38;5;241m=�[39mplugin, name�[38;5;241m=�[39mname)

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/nanny.py:803�[0m, in �[0;36mWorkerProcess._wait_until_connected�[0;34m(self, uid)�[0m

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E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/worker.py:3248�[0m, in �[0;36mplugin_add�[0;34m()�[0m

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E

E           �[0;31mMemoryError�[0m: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

E           MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError

----------------------------- Captured stderr call -----------------------------

2022-12-02 14:39:23,740 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:39:23,750 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:39:23,753 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:39:23,791 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:39:24,313 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:39:24,315 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:39:26,935 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-0cidvacx', purging

2022-12-02 14:39:26,936 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:39:27,206 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:39:27,207 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:39:30,090 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-3ie7iu6v', purging

2022-12-02 14:39:30,091 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:39:30,094 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:39:30,132 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:39:30,211 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:39:30,616 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:39:30,617 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:39:30,626 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:39:30,627 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:39:30,706 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:39:30,707 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:39:30,787 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:39:30,788 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:39:33,338 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-zbqqvu35', purging

2022-12-02 14:39:33,338 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-_4wr9vyl', purging

2022-12-02 14:39:33,338 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-vh0i952k', purging

2022-12-02 14:39:33,339 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-liuzrnwd', purging

2022-12-02 14:39:33,339 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-02 14:39:33,616 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-02 14:39:33,617 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

/usr/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 60 leaked semaphore objects to clean up at shutdown

warnings.warn('resource_tracker: There appear to be %d '


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       356    213    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          195    108    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   122     17    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     29    79%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     41    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    163    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      1    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      2    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  147     56    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     38    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     97    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     38    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    164    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          624    357    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     29    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     81    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     17    73%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                               379    114    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/dataframe_iter.py                         21     17    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/tf_utils.py                               57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/utils.py                                  40     15    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   70      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49     15    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                             99     75    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     175     95    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    111    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    114    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    161    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              182    125    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                106     71    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     84    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                64     39    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39     16    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    154    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    268    148    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               772    350    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    108    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     22    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        101     54    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    63     14    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       282    212    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         158     75    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31      8    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     33    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     37    81%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229     58    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      6    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               122     74    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46     21    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      1    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               32      8    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77     23    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     54    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/fil.py                                 211    117    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79      7    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/pytorch.py                              31     18    42%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/session_filter.py                       45     28    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51     17    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           67     20    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50     15    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/workflow.py                             29     18    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/fil.py                  95     66    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/pytorch.py              62     37    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           53      5    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/workflow.py             47     29    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                 157     49    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     34    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143    120    16%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    234    13%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     45    38%


TOTAL                                                                                                 15237   7470    51%


=================== 2 failed, 1 passed in 118.83s (0:01:58) ====================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

ERROR: InvocationError for command /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python -m pytest --cov-report term --cov merlin -rxs tests/unit (exited with code 1)

___________________________________ summary ____________________________________

ERROR:   test-gpu: commands failed

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[workspace] $ /bin/bash /tmp/jenkins17929465269154037843.sh

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