diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml index 720a13cb3d1..7c91d7b0f0a 100644 --- a/.github/workflows/build.yaml +++ b/.github/workflows/build.yaml @@ -202,7 +202,7 @@ jobs: target: ${{ env.TARGET }} tags: ${{ steps.meta.outputs.tags || steps.meta-pr.outputs.tags }} labels: ${{ steps.meta.outputs.labels || steps.meta-pr.outputs.labels }} - cache-from: type=s3,region=us-east-1,bucket=ci-docker-buildx-cache,name=text-generation-inference-cache${{ env.LABEL }},mode=max,access_key_id=${{ secrets.S3_CI_DOCKER_BUILDX_CACHE_ACCESS_KEY_ID }},secret_access_key=${{ secrets.S3_CI_DOCKER_BUILDX_CACHE_SECRET_ACCESS_KEY }},mode=max + cache-from: type=s3,region=us-east-1,bucket=ci-docker-buildx-cache,name=text-generation-inference-cache${{ env.LABEL }},mode=max,access_key_id=${{ secrets.S3_CI_DOCKER_BUILDX_CACHE_ACCESS_KEY_ID }},secret_access_key=${{ secrets.S3_CI_DOCKER_BUILDX_CACHE_SECRET_ACCESS_KEY }},mode=min cache-to: type=s3,region=us-east-1,bucket=ci-docker-buildx-cache,name=text-generation-inference-cache${{ env.LABEL }},mode=min,access_key_id=${{ secrets.S3_CI_DOCKER_BUILDX_CACHE_ACCESS_KEY_ID }},secret_access_key=${{ secrets.S3_CI_DOCKER_BUILDX_CACHE_SECRET_ACCESS_KEY }},mode=min - name: Final id: final diff --git a/Dockerfile b/Dockerfile index ead6c8c5e21..39c9f66b0cb 100644 --- a/Dockerfile +++ b/Dockerfile @@ -45,21 +45,16 @@ RUN cargo build --profile release-opt --frozen # Python builder # Adapted from: https://github.com/pytorch/pytorch/blob/master/Dockerfile FROM nvidia/cuda:12.4.1-devel-ubuntu22.04 AS pytorch-install +WORKDIR /usr/src/ # NOTE: When updating PyTorch version, beware to remove `pip install nvidia-nccl-cu12==2.22.3` below in the Dockerfile. Context: https://github.com/huggingface/text-generation-inference/pull/2099 -ARG PYTORCH_VERSION=2.5.1 - +ARG PYTORCH_VERSION=2.6 ARG PYTHON_VERSION=3.11 + # Keep in sync with `server/pyproject.toml -ARG CUDA_VERSION=12.4 -ARG MAMBA_VERSION=24.3.0-0 -ARG CUDA_CHANNEL=nvidia -ARG INSTALL_CHANNEL=pytorch # Automatically set by buildx ARG TARGETPLATFORM -ENV PATH=/opt/conda/bin:$PATH - RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ build-essential \ ca-certificates \ @@ -67,26 +62,12 @@ RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-ins curl \ git && \ rm -rf /var/lib/apt/lists/* - -# Install conda -# translating Docker's TARGETPLATFORM into mamba arches -RUN case ${TARGETPLATFORM} in \ - "linux/arm64") MAMBA_ARCH=aarch64 ;; \ - *) MAMBA_ARCH=x86_64 ;; \ - esac && \ - curl -fsSL -v -o ~/mambaforge.sh -O "https://github.com/conda-forge/miniforge/releases/download/${MAMBA_VERSION}/Mambaforge-${MAMBA_VERSION}-Linux-${MAMBA_ARCH}.sh" -RUN chmod +x ~/mambaforge.sh && \ - bash ~/mambaforge.sh -b -p /opt/conda && \ - rm ~/mambaforge.sh - -# Install pytorch -# On arm64 we exit with an error code -RUN case ${TARGETPLATFORM} in \ - "linux/arm64") exit 1 ;; \ - *) /opt/conda/bin/conda update -y conda && \ - /opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -c "${CUDA_CHANNEL}" -y "python=${PYTHON_VERSION}" "pytorch=$PYTORCH_VERSION" "pytorch-cuda=$(echo $CUDA_VERSION | cut -d'.' -f 1-2)" ;; \ - esac && \ - /opt/conda/bin/conda clean -ya +COPY --from=ghcr.io/astral-sh/uv:0.5.31 /uv /uvx /bin/ +ENV PATH="$PATH:/root/.local/bin" +RUN uv python install ${PYTHON_VERSION} +RUN uv venv --python ${PYTHON_VERSION} && uv pip install torch==${PYTORCH_VERSION} pip setuptools packaging +ENV VIRTUAL_ENV=/usr/src/.venv/ +ENV PATH="$PATH:/usr/src/.venv/bin/" # CUDA kernels builder image FROM pytorch-install AS kernel-builder @@ -106,7 +87,7 @@ WORKDIR /usr/src COPY server/Makefile-flash-att Makefile # Build specific version of flash attention -RUN make build-flash-attention +RUN . .venv/bin/activate && make build-flash-attention # Build Flash Attention v2 CUDA kernels FROM kernel-builder AS flash-att-v2-builder @@ -116,14 +97,14 @@ WORKDIR /usr/src COPY server/Makefile-flash-att-v2 Makefile # Build specific version of flash attention v2 -RUN make build-flash-attention-v2-cuda +RUN . .venv/bin/activate && make build-flash-attention-v2-cuda # Build Transformers exllama kernels FROM kernel-builder AS exllama-kernels-builder WORKDIR /usr/src COPY server/exllama_kernels/ . -RUN python setup.py build +RUN . .venv/bin/activate && python setup.py build # Build Transformers exllama kernels FROM kernel-builder AS exllamav2-kernels-builder @@ -131,54 +112,50 @@ WORKDIR /usr/src COPY server/Makefile-exllamav2/ Makefile # Build specific version of transformers -RUN make build-exllamav2 +RUN . .venv/bin/activate && make build-exllamav2 # Build Transformers awq kernels FROM kernel-builder AS awq-kernels-builder WORKDIR /usr/src COPY server/Makefile-awq Makefile # Build specific version of transformers -RUN make build-awq +RUN . .venv/bin/activate && make build-awq # Build eetq kernels FROM kernel-builder AS eetq-kernels-builder WORKDIR /usr/src COPY server/Makefile-eetq Makefile # Build specific version of transformers -RUN make build-eetq +RUN . .venv/bin/activate && make build-eetq # Build Lorax Punica kernels FROM kernel-builder AS lorax-punica-builder WORKDIR /usr/src COPY server/Makefile-lorax-punica Makefile # Build specific version of transformers -RUN TORCH_CUDA_ARCH_LIST="8.0;8.6+PTX" make build-lorax-punica +RUN . .venv/bin/activate && TORCH_CUDA_ARCH_LIST="8.0;8.6+PTX" make build-lorax-punica # Build Transformers CUDA kernels FROM kernel-builder AS custom-kernels-builder WORKDIR /usr/src COPY server/custom_kernels/ . # Build specific version of transformers -RUN python setup.py build +RUN . .venv/bin/activate && python setup.py build # Build mamba kernels FROM kernel-builder AS mamba-builder WORKDIR /usr/src COPY server/Makefile-selective-scan Makefile -RUN make build-all +RUN . .venv/bin/activate && make build-all # Build flashinfer FROM kernel-builder AS flashinfer-builder WORKDIR /usr/src COPY server/Makefile-flashinfer Makefile -RUN make install-flashinfer +RUN . .venv/bin/activate && make install-flashinfer # Text Generation Inference base image -FROM nvidia/cuda:12.1.0-base-ubuntu22.04 AS base - -# Conda env -ENV PATH=/opt/conda/bin:$PATH \ - CONDA_PREFIX=/opt/conda +FROM nvidia/cuda:12.4.0-base-ubuntu22.04 AS base # Text Generation Inference base env ENV HF_HOME=/data \ @@ -195,60 +172,62 @@ RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-ins git \ && rm -rf /var/lib/apt/lists/* +RUN curl -LsSf https://astral.sh/uv/install.sh | sh +ENV PATH="$PATH:/root/.local/bin" # Install flash-attention dependencies # RUN pip install einops --no-cache-dir -# Copy conda with PyTorch installed -COPY --from=pytorch-install /opt/conda /opt/conda +# Copy env with PyTorch installed +COPY --from=pytorch-install /usr/src/.venv /usr/src/.venv +ENV PYTHON_VERSION=3.11 +RUN uv python install ${PYTHON_VERSION} +ENV VIRTUAL_ENV=/usr/src/.venv/ +ENV PATH="$PATH:/usr/src/.venv/bin/" # Install server COPY proto proto COPY server server COPY server/Makefile server/Makefile -ENV UV_SYSTEM_PYTHON=1 ENV HF_KERNELS_CACHE=/kernels RUN cd server && \ - pip install -U pip uv && \ - uv sync --frozen --extra gen --extra attention --extra bnb --extra accelerate --extra compressed-tensors --extra marlin --extra moe --extra quantize --extra peft --extra outlines --no-install-project && \ - . ./.venv/bin/activate && \ + uv sync --frozen --extra gen --extra attention --extra bnb --extra accelerate --extra compressed-tensors --extra marlin --extra moe --extra quantize --extra peft --extra outlines --no-install-project --active && \ make gen-server-raw && \ hf-kernels download . RUN cd server && \ - uv sync --frozen --extra gen --extra attention --extra bnb --extra accelerate --extra compressed-tensors --extra marlin --extra moe --extra quantize --extra peft --extra outlines && \ - . ./.venv/bin/activate && \ + uv sync --frozen --extra gen --extra attention --extra bnb --extra accelerate --extra compressed-tensors --extra marlin --extra moe --extra quantize --extra peft --extra outlines --active --python=${PYTHON_VERSION} && \ + uv pip install nvidia-nccl-cu12==2.25.1 && \ pwd && \ text-generation-server --help # Copy build artifacts from flash attention builder -COPY --from=flash-att-builder /usr/src/flash-attention/build/lib.linux-x86_64-cpython-311 /usr/src/server/.venv/lib/python3.11/site-packages -COPY --from=flash-att-builder /usr/src/flash-attention/csrc/layer_norm/build/lib.linux-x86_64-cpython-311 /usr/src/server/.venv/lib/python3.11/site-packages -COPY --from=flash-att-builder /usr/src/flash-attention/csrc/rotary/build/lib.linux-x86_64-cpython-311 /usr/src/server/.venv/lib/python3.11/site-packages +COPY --from=flash-att-builder /usr/src/flash-attention/build/lib.linux-x86_64-cpython-311 /usr/src/.venv/lib/python3.11/site-packages +COPY --from=flash-att-builder /usr/src/flash-attention/csrc/layer_norm/build/lib.linux-x86_64-cpython-311 /usr/src/.venv/lib/python3.11/site-packages +COPY --from=flash-att-builder /usr/src/flash-attention/csrc/rotary/build/lib.linux-x86_64-cpython-311 /usr/src/.venv/lib/python3.11/site-packages # Copy build artifacts from flash attention v2 builder -COPY --from=flash-att-v2-builder /opt/conda/lib/python3.11/site-packages/flash_attn_2_cuda.cpython-311-x86_64-linux-gnu.so /usr/src/server/.venv/lib/python3.11/site-packages +COPY --from=flash-att-v2-builder /usr/src/.venv/lib/python3.11/site-packages/flash_attn_2_cuda.cpython-311-x86_64-linux-gnu.so /usr/src/.venv/lib/python3.11/site-packages # Copy build artifacts from custom kernels builder -COPY --from=custom-kernels-builder /usr/src/build/lib.linux-x86_64-cpython-311 /usr/src/server/.venv/lib/python3.11/site-packages +COPY --from=custom-kernels-builder /usr/src/build/lib.linux-x86_64-cpython-311 /usr/src/.venv/lib/python3.11/site-packages # Copy build artifacts from exllama kernels builder -COPY --from=exllama-kernels-builder /usr/src/build/lib.linux-x86_64-cpython-311 /usr/src/server/.venv/lib/python3.11/site-packages +COPY --from=exllama-kernels-builder /usr/src/build/lib.linux-x86_64-cpython-311 /usr/src/.venv/lib/python3.11/site-packages # Copy build artifacts from exllamav2 kernels builder -COPY --from=exllamav2-kernels-builder /usr/src/exllamav2/build/lib.linux-x86_64-cpython-311 /usr/src/server/.venv/lib/python3.11/site-packages +COPY --from=exllamav2-kernels-builder /usr/src/exllamav2/build/lib.linux-x86_64-cpython-311 /usr/src/.venv/lib/python3.11/site-packages # Copy build artifacts from awq kernels builder -COPY --from=awq-kernels-builder /usr/src/llm-awq/awq/kernels/build/lib.linux-x86_64-cpython-311 /usr/src/server/.venv/lib/python3.11/site-packages +COPY --from=awq-kernels-builder /usr/src/llm-awq/awq/kernels/build/lib.linux-x86_64-cpython-311 /usr/src/.venv/lib/python3.11/site-packages # Copy build artifacts from eetq kernels builder -COPY --from=eetq-kernels-builder /usr/src/eetq/build/lib.linux-x86_64-cpython-311 /usr/src/server/.venv/lib/python3.11/site-packages +COPY --from=eetq-kernels-builder /usr/src/eetq/build/lib.linux-x86_64-cpython-311 /usr/src/.venv/lib/python3.11/site-packages # Copy build artifacts from lorax punica kernels builder -COPY --from=lorax-punica-builder /usr/src/lorax-punica/server/punica_kernels/build/lib.linux-x86_64-cpython-311 /usr/src/server/.venv/lib/python3.11/site-packages +COPY --from=lorax-punica-builder /usr/src/lorax-punica/server/punica_kernels/build/lib.linux-x86_64-cpython-311 /usr/src/.venv/lib/python3.11/site-packages # Copy build artifacts from mamba builder -COPY --from=mamba-builder /usr/src/mamba/build/lib.linux-x86_64-cpython-311/ /usr/src/server/.venv/lib/python3.11/site-packages -COPY --from=mamba-builder /usr/src/causal-conv1d/build/lib.linux-x86_64-cpython-311/ /usr/src/server/.venv/lib/python3.11/site-packages -COPY --from=flashinfer-builder /opt/conda/lib/python3.11/site-packages/flashinfer/ /usr/src/server/.venv/lib/python3.11/site-packages/flashinfer/ +COPY --from=mamba-builder /usr/src/mamba/build/lib.linux-x86_64-cpython-311/ /usr/src/.venv/lib/python3.11/site-packages +COPY --from=mamba-builder /usr/src/causal-conv1d/build/lib.linux-x86_64-cpython-311/ /usr/src/.venv/lib/python3.11/site-packages +COPY --from=flashinfer-builder /usr/src/.venv/lib/python3.11/site-packages/flashinfer/ /usr/src/.venv/lib/python3.11/site-packages/flashinfer/ # ENV LD_PRELOAD=/opt/conda/lib/python3.11/site-packages/nvidia/nccl/lib/libnccl.so.2 # Required to find libpython within the rust binaries -ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib/" # This is needed because exl2 tries to load flash-attn # And fails with our builds. ENV EXLLAMA_NO_FLASH_ATTN=1 @@ -283,5 +262,6 @@ FROM base COPY ./tgi-entrypoint.sh /tgi-entrypoint.sh RUN chmod +x /tgi-entrypoint.sh +ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/root/.local/share/uv/python/cpython-3.11.11-linux-x86_64-gnu/lib/" ENTRYPOINT ["/tgi-entrypoint.sh"] # CMD ["--json-output"] diff --git a/server/Makefile-eetq b/server/Makefile-eetq index 5b53122b3da..1b97f6fd702 100644 --- a/server/Makefile-eetq +++ b/server/Makefile-eetq @@ -1,4 +1,4 @@ -eetq_commit := 81e0b14d64088d58ef6acd2c8f3e788d59324407 +eetq_commit := 465e9726bf7ae30803a2d0dd9e5d4315aef17491 eetq: # Clone eetq diff --git a/server/Makefile-flash-att b/server/Makefile-flash-att index 29e75bc4810..f1efc3789d9 100644 --- a/server/Makefile-flash-att +++ b/server/Makefile-flash-att @@ -1,9 +1,9 @@ -flash_att_commit := 3a9bfd076f98746c73362328958dbc68d145fbec +flash_att_commit := ceee0de88c037ee6eda5e75c813a8648e4bcb1c9 build-flash-attention: if [ ! -d 'flash-attention' ]; then \ pip install -U packaging ninja 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