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2 changes: 1 addition & 1 deletion .github/workflows/build.yml
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@ concurrency:
jobs:
cmake-build:
name: Build FlexFlow Serve
runs-on: ubuntu-20.04
runs-on: ubuntu-22.04
defaults:
run:
shell: bash -l {0} # required to use an activated conda environment
Expand Down
2 changes: 1 addition & 1 deletion .github/workflows/clang-format-check.yml
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ on: [push, pull_request, workflow_dispatch]
jobs:
formatting-check:
name: Formatting Check
runs-on: ubuntu-latest
runs-on: ubuntu-22.04
strategy:
matrix:
path:
Expand Down
6 changes: 3 additions & 3 deletions .github/workflows/docker-build.yml
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@ concurrency:
jobs:
docker-build-rocm:
name: Build and Install FlexFlow in a Docker Container (ROCm backend)
runs-on: ubuntu-20.04
runs-on: ubuntu-22.04
if: ${{ ( github.event_name != 'push' && github.event_name != 'schedule' && github.event_name != 'workflow_dispatch' ) || github.ref_name != 'inference' }}
env:
FF_GPU_BACKEND: "hip_rocm"
Expand Down Expand Up @@ -69,7 +69,7 @@ jobs:

docker-build-cuda:
name: Build and Install FlexFlow in a Docker Container (CUDA backend)
runs-on: ubuntu-20.04
runs-on: ubuntu-22.04
strategy:
matrix:
cuda_version: ["11.8", "12.0", "12.1", "12.2"]
Expand Down Expand Up @@ -119,7 +119,7 @@ jobs:

notify-slack:
name: Notify Slack in case of failure
runs-on: ubuntu-20.04
runs-on: ubuntu-22.04
needs: [docker-build-cuda, docker-build-and-publish-rocm]
if: ${{ failure() && github.repository_owner == 'flexflow' && ( github.event_name == 'push' || github.event_name == 'workflow_dispatch' ) && github.ref_name == 'inference' }}
steps:
Expand Down
75 changes: 7 additions & 68 deletions .github/workflows/helpers/install_cudnn.sh
Original file line number Diff line number Diff line change
Expand Up @@ -8,72 +8,11 @@ cd "${BASH_SOURCE[0]%/*}"
ubuntu_version=$(lsb_release -rs)
ubuntu_version=${ubuntu_version//./}

# Install CUDNN
cuda_version=${1:-12.1.1}
cuda_version=$(echo "${cuda_version}" | cut -f1,2 -d'.')
echo "Installing CUDNN for CUDA version: ${cuda_version} ..."
CUDNN_LINK=http://developer.download.nvidia.com/compute/redist/cudnn/v8.0.5/cudnn-11.1-linux-x64-v8.0.5.39.tgz
CUDNN_TARBALL_NAME=cudnn-11.1-linux-x64-v8.0.5.39.tgz
if [[ "$cuda_version" == "10.1" ]]; then
CUDNN_LINK=https://developer.download.nvidia.com/compute/redist/cudnn/v8.0.5/cudnn-10.1-linux-x64-v8.0.5.39.tgz
CUDNN_TARBALL_NAME=cudnn-10.1-linux-x64-v8.0.5.39.tgz
elif [[ "$cuda_version" == "10.2" ]]; then
CUDNN_LINK=https://developer.download.nvidia.com/compute/redist/cudnn/v8.0.5/cudnn-10.2-linux-x64-v8.0.5.39.tgz
CUDNN_TARBALL_NAME=cudnn-10.2-linux-x64-v8.0.5.39.tgz
elif [[ "$cuda_version" == "11.0" ]]; then
CUDNN_LINK=https://developer.download.nvidia.com/compute/redist/cudnn/v8.0.5/cudnn-11.0-linux-x64-v8.0.5.39.tgz
CUDNN_TARBALL_NAME=cudnn-11.0-linux-x64-v8.0.5.39.tgz
elif [[ "$cuda_version" == "11.1" ]]; then
CUDNN_LINK=https://developer.download.nvidia.com/compute/redist/cudnn/v8.0.5/cudnn-11.1-linux-x64-v8.0.5.39.tgz
CUDNN_TARBALL_NAME=cudnn-11.1-linux-x64-v8.0.5.39.tgz
elif [[ "$cuda_version" == "11.2" ]]; then
CUDNN_LINK=https://developer.download.nvidia.com/compute/redist/cudnn/v8.1.1/cudnn-11.2-linux-x64-v8.1.1.33.tgz
CUDNN_TARBALL_NAME=cudnn-11.2-linux-x64-v8.1.1.33.tgz
elif [[ "$cuda_version" == "11.3" ]]; then
CUDNN_LINK=https://developer.download.nvidia.com/compute/redist/cudnn/v8.2.1/cudnn-11.3-linux-x64-v8.2.1.32.tgz
CUDNN_TARBALL_NAME=cudnn-11.3-linux-x64-v8.2.1.32.tgz
elif [[ "$cuda_version" == "11.4" ]]; then
CUDNN_LINK=https://developer.download.nvidia.com/compute/redist/cudnn/v8.2.4/cudnn-11.4-linux-x64-v8.2.4.15.tgz
CUDNN_TARBALL_NAME=cudnn-11.4-linux-x64-v8.2.4.15.tgz
elif [[ "$cuda_version" == "11.5" ]]; then
CUDNN_LINK=https://developer.download.nvidia.com/compute/redist/cudnn/v8.3.0/cudnn-11.5-linux-x64-v8.3.0.98.tgz
CUDNN_TARBALL_NAME=cudnn-11.5-linux-x64-v8.3.0.98.tgz
elif [[ "$cuda_version" == "11.6" ]]; then
CUDNN_LINK=https://developer.download.nvidia.com/compute/redist/cudnn/v8.4.0/local_installers/11.6/cudnn-linux-x86_64-8.4.0.27_cuda11.6-archive.tar.xz
CUDNN_TARBALL_NAME=cudnn-linux-x86_64-8.4.0.27_cuda11.6-archive.tar.xz
elif [[ "$cuda_version" == "11.7" ]]; then
CUDNN_LINK=https://developer.download.nvidia.com/compute/redist/cudnn/v8.5.0/local_installers/11.7/cudnn-linux-x86_64-8.5.0.96_cuda11-archive.tar.xz
CUDNN_TARBALL_NAME=cudnn-linux-x86_64-8.5.0.96_cuda11-archive.tar.xz
elif [[ "$cuda_version" == "11.8" ]]; then
CUDNN_LINK=https://developer.download.nvidia.com/compute/redist/cudnn/v8.7.0/local_installers/11.8/cudnn-linux-x86_64-8.7.0.84_cuda11-archive.tar.xz
CUDNN_TARBALL_NAME=cudnn-linux-x86_64-8.7.0.84_cuda11-archive.tar.xz
elif [[ "$cuda_version" == "12.0" || "$cuda_version" == "12.1" || "$cuda_version" == "12.2" || "$cuda_version" == "12.3" || "$cuda_version" == "12.4" || "$cuda_version" == "12.5" ]]; then
CUDNN_LINK=https://developer.download.nvidia.com/compute/redist/cudnn/v8.8.0/local_installers/12.0/cudnn-local-repo-ubuntu2004-8.8.0.121_1.0-1_amd64.deb
CUDNN_TARBALL_NAME=cudnn-local-repo-ubuntu2004-8.8.0.121_1.0-1_amd64.deb
else
echo "CUDNN support for CUDA version above 12.5 not yet added"
exit 1
fi
wget -c -q $CUDNN_LINK
if [[ "$cuda_version" == "11.6" || "$cuda_version" == "11.7" || "$cuda_version" == "11.8" ]]; then
tar -xf $CUDNN_TARBALL_NAME -C ./
CUDNN_EXTRACTED_TARBALL_NAME="${CUDNN_TARBALL_NAME::-7}"
sudo cp -r "$CUDNN_EXTRACTED_TARBALL_NAME"/include/* /usr/local/include
sudo cp -r "$CUDNN_EXTRACTED_TARBALL_NAME"/lib/* /usr/local/lib
rm -rf "$CUDNN_EXTRACTED_TARBALL_NAME"
elif [[ "$CUDNN_TARBALL_NAME" == *.deb ]]; then
wget -c -q "https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${ubuntu_version}/x86_64/cuda-keyring_1.1-1_all.deb"
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt update -y
rm -f cuda-keyring_1.1-1_all.deb
sudo dpkg -i $CUDNN_TARBALL_NAME
sudo cp /var/cudnn-local-repo-ubuntu2004-8.8.0.121/cudnn-local-A9E17745-keyring.gpg /usr/share/keyrings/
sudo apt update -y
sudo apt install -y libcudnn8
sudo apt install -y libcudnn8-dev
sudo apt install -y libcudnn8-samples
else
sudo tar -xzf $CUDNN_TARBALL_NAME -C /usr/local
fi
rm $CUDNN_TARBALL_NAME
wget -c -q "https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${ubuntu_version}/x86_64/cuda-keyring_1.1-1_all.deb"
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt update -y
rm -f cuda-keyring_1.1-1_all.deb
sudo apt-get -y install libcudnn9-cuda-12
sudo apt-get -y install libcudnn9-dev-cuda-12
sudo apt-get -y install libcudnn9-samples
sudo ldconfig
43 changes: 28 additions & 15 deletions .github/workflows/helpers/install_dependencies.sh
Original file line number Diff line number Diff line change
Expand Up @@ -40,28 +40,41 @@ if [[ "$FF_GPU_BACKEND" == "hip_cuda" || "$FF_GPU_BACKEND" = "hip_rocm" ]]; then
elif [ "$hip_version" = "5.5" ]; then
AMD_GPU_SCRIPT_NAME=amdgpu-install_5.5.50500-1_all.deb
fi
AMD_GPU_SCRIPT_URL="https://repo.radeon.com/amdgpu-install/${hip_version}/ubuntu/focal/${AMD_GPU_SCRIPT_NAME}"
# Detect Ubuntu version
UBUNTU_VERSION=$(lsb_release -rs)
if [[ "$UBUNTU_VERSION" == "20.04" ]]; then
UBUNTU_CODENAME="focal"
elif [[ "$UBUNTU_VERSION" == "22.04" ]]; then
UBUNTU_CODENAME="jammy"
elif [[ "$UBUNTU_VERSION" == "24.04" ]]; then
UBUNTU_CODENAME="jammy"
else
echo "Unsupported Ubuntu version: $UBUNTU_VERSION"
exit 1
fi

AMD_GPU_SCRIPT_URL="https://repo.radeon.com/amdgpu-install/${hip_version}/ubuntu/${UBUNTU_CODENAME}/${AMD_GPU_SCRIPT_NAME}"
# Download and install AMD GPU software with ROCM and HIP support
wget "$AMD_GPU_SCRIPT_URL"
sudo apt-get install -y ./${AMD_GPU_SCRIPT_NAME}
sudo rm ./${AMD_GPU_SCRIPT_NAME}
sudo amdgpu-install -y --usecase=hip,rocm --no-dkms
sudo apt-get install -y hip-dev hipblas miopen-hip rocm-hip-sdk rocm-device-libs

# Install protobuf v3.20.x manually
sudo apt-get update -y && sudo apt-get install -y pkg-config zip g++ zlib1g-dev unzip python autoconf automake libtool curl make
git clone -b 3.20.x https://github.com/protocolbuffers/protobuf.git
cd protobuf/
git submodule update --init --recursive
./autogen.sh
./configure
cores_available=$(nproc --all)
n_build_cores=$(( cores_available -1 ))
if (( n_build_cores < 1 )) ; then n_build_cores=1 ; fi
make -j $n_build_cores
sudo make install
sudo ldconfig
cd ..
# # Install protobuf v3.20.x manually
# sudo apt-get update -y && sudo apt-get install -y pkg-config zip g++ zlib1g-dev unzip python autoconf automake libtool curl make
# git clone -b 3.20.x https://github.com/protocolbuffers/protobuf.git
# cd protobuf/
# git submodule update --init --recursive
# ./autogen.sh
# ./configure
# cores_available=$(nproc --all)
# n_build_cores=$(( cores_available -1 ))
# if (( n_build_cores < 1 )) ; then n_build_cores=1 ; fi
# make -j $n_build_cores
# sudo make install
# sudo ldconfig
# cd ..
else
echo "FF_GPU_BACKEND: ${FF_GPU_BACKEND}. Skipping installing HIP dependencies"
fi
Expand Down
43 changes: 3 additions & 40 deletions .github/workflows/helpers/install_nccl.sh
Original file line number Diff line number Diff line change
Expand Up @@ -5,47 +5,10 @@ set -x
# Cd into directory holding this script
cd "${BASH_SOURCE[0]%/*}"

# Add NCCL key ring
ubuntu_version=$(lsb_release -rs)
ubuntu_version=${ubuntu_version//./}
wget "https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${ubuntu_version}/x86_64/cuda-keyring_1.1-1_all.deb"
wget -c -q "https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${ubuntu_version}/x86_64/cuda-keyring_1.1-1_all.deb"
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt update -y
sudo apt-get update -y --allow-change-held-packages
rm -f cuda-keyring_1.1-1_all.deb

# Install NCCL
cuda_version=${1:-12.1.1}
cuda_version=$(echo "${cuda_version}" | cut -f1,2 -d'.')
echo "Installing NCCL for CUDA version: ${cuda_version} ..."

# We need to run a different install command based on the CUDA version, otherwise running `sudo apt install libnccl2 libnccl-dev`
# will automatically upgrade CUDA to the latest version.

if [[ "$cuda_version" == "11.0" ]]; then
sudo apt install libnccl2=2.15.5-1+cuda11.0 libnccl-dev=2.15.5-1+cuda11.0
elif [[ "$cuda_version" == "11.1" ]]; then
sudo apt install libnccl2=2.8.4-1+cuda11.1 libnccl-dev=2.8.4-1+cuda11.1
elif [[ "$cuda_version" == "11.2" ]]; then
sudo apt install libnccl2=2.8.4-1+cuda11.2 libnccl-dev=2.8.4-1+cuda11.2
elif [[ "$cuda_version" == "11.3" ]]; then
sudo apt install libnccl2=2.9.9-1+cuda11.3 libnccl-dev=2.9.9-1+cuda11.3
elif [[ "$cuda_version" == "11.4" ]]; then
sudo apt install libnccl2=2.11.4-1+cuda11.4 libnccl-dev=2.11.4-1+cuda11.4
elif [[ "$cuda_version" == "11.5" ]]; then
sudo apt install libnccl2=2.11.4-1+cuda11.5 libnccl-dev=2.11.4-1+cuda11.5
elif [[ "$cuda_version" == "11.6" ]]; then
sudo apt install libnccl2=2.12.12-1+cuda11.6 libnccl-dev=2.12.12-1+cuda11.6
elif [[ "$cuda_version" == "11.7" ]]; then
sudo apt install libnccl2=2.14.3-1+cuda11.7 libnccl-dev=2.14.3-1+cuda11.7
elif [[ "$cuda_version" == "11.8" ]]; then
sudo apt install libnccl2=2.16.5-1+cuda11.8 libnccl-dev=2.16.5-1+cuda11.8
elif [[ "$cuda_version" == "12.0" ]]; then
sudo apt install libnccl2=2.18.3-1+cuda12.0 libnccl-dev=2.18.3-1+cuda12.0
elif [[ "$cuda_version" == "12.1" ]]; then
sudo apt install libnccl2=2.18.3-1+cuda12.1 libnccl-dev=2.18.3-1+cuda12.1
elif [[ "$cuda_version" == "12.2" ]]; then
sudo apt install libnccl2=2.18.3-1+cuda12.2 libnccl-dev=2.18.3-1+cuda12.2
else
echo "Installing NCCL for CUDA version ${cuda_version} is not supported"
exit 1
fi
sudo apt install -y --allow-change-held-packages libnccl2 libnccl-dev
2 changes: 1 addition & 1 deletion .github/workflows/pip-deploy.yml
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ concurrency:
jobs:
build-n-publish:
name: Build and publish Python 🐍 distributions 📦 to PyPI and TestPyPI
runs-on: ubuntu-20.04
runs-on: ubuntu-22.04
permissions:
# IMPORTANT: this permission is mandatory for trusted publishing
id-token: write
Expand Down
2 changes: 1 addition & 1 deletion .github/workflows/pip-install.yml
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ concurrency:
jobs:
pip-install-flexflow:
name: Install FlexFlow with pip
runs-on: ubuntu-20.04
runs-on: ubuntu-22.04
defaults:
run:
shell: bash -l {0} # required to use an activated conda environment
Expand Down
2 changes: 1 addition & 1 deletion .github/workflows/shell-check.yml
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ on: [push, pull_request, workflow_dispatch]
jobs:
shellcheck:
name: Shellcheck
runs-on: ubuntu-latest
runs-on: ubuntu-22.04
steps:
- uses: actions/checkout@v3
- name: Run ShellCheck
Expand Down
16 changes: 6 additions & 10 deletions conda/flexflow.yml
Original file line number Diff line number Diff line change
Expand Up @@ -3,23 +3,19 @@ channels:
- defaults
- conda-forge
dependencies:
- python>=3.6,<3.12
- cffi>=1.11.0
- Pillow
- python
- cffi
- rust
- cmake-build-extension
- jq
- pytest
- pip
- pip:
- qualname>=0.1.0
- keras_preprocessing>=1.1.2
- numpy>=1.16.0
- torch>=1.13.1
- torchaudio>=0.13.1
- torchvision>=0.14.1
- numpy
- torch
- torchaudio
- torchvision
- regex
- onnx
- transformers>=4.47.1
- sentencepiece
- einops
Expand Down
43 changes: 37 additions & 6 deletions docker/flexflow-environment/Dockerfile
Original file line number Diff line number Diff line change
Expand Up @@ -19,9 +19,9 @@ RUN apt-get update && apt-get install -y --no-install-recommends wget sudo binut

# Install Python3 with Miniconda
ARG python_version "latest"
#RUN MINICONDA_SCRIPT_NAME=Miniconda3-latest-Linux-x86_64.sh; \
RUN MINICONDA_SCRIPT_NAME=Miniconda3-py311_23.5.2-0-Linux-x86_64.sh; \
if [ "$python_version" != "3.8" ] && [ "$python_version" != "3.9" ] && [ "$python_version" != "3.10" ] && [ "$python_version" != "3.11" ] && [ "$python_version" != "latest" ]; then \
RUN MINICONDA_SCRIPT_NAME=Miniconda3-latest-Linux-x86_64.sh; \
# RUN MINICONDA_SCRIPT_NAME=Miniconda3-py311_23.5.2-0-Linux-x86_64.sh; \
if [ "$python_version" != "3.8" ] && [ "$python_version" != "3.9" ] && [ "$python_version" != "3.10" ] && [ "$python_version" != "3.11" ] && [ "$python_version" != "3.12" ] && [ "$python_version" != "latest" ]; then \
echo "python_version '${python_version}' is not supported, please choose among {3.8, 3.9, 3.10, 3.11 or latest (default)}"; \
exit 1; \
fi; \
Expand All @@ -33,6 +33,10 @@ RUN MINICONDA_SCRIPT_NAME=Miniconda3-py311_23.5.2-0-Linux-x86_64.sh; \
MINICONDA_SCRIPT_NAME=Miniconda3-py310_23.5.2-0-Linux-x86_64.sh; \
elif [ "${python_version}" = "3.11" ]; then \
MINICONDA_SCRIPT_NAME=Miniconda3-py311_23.5.2-0-Linux-x86_64.sh; \
elif [ "${python_version}" = "3.12" ]; then \
MINICONDA_SCRIPT_NAME=Miniconda3-py312_25.1.1-2-Linux-x86_64.sh; \
elif [ "${python_version}" = "latest" ]; then \
MINICONDA_SCRIPT_NAME=Miniconda3-latest-Linux-x86_64.sh; \
fi; \
wget -c -q https://repo.continuum.io/miniconda/${MINICONDA_SCRIPT_NAME} && \
mv ./${MINICONDA_SCRIPT_NAME} ~/${MINICONDA_SCRIPT_NAME} && \
Expand Down Expand Up @@ -93,22 +97,23 @@ RUN if [ "$FF_GPU_BACKEND" = "hip_cuda" ] || [ "$FF_GPU_BACKEND" = "hip_rocm" ]
elif [ "$hip_version" = "5.5" ]; then \
AMD_GPU_SCRIPT_NAME=amdgpu-install_5.5.50500-1_all.deb; \
fi; \
AMD_GPU_SCRIPT_URL="https://repo.radeon.com/amdgpu-install/${hip_version}/ubuntu/focal/${AMD_GPU_SCRIPT_NAME}"; \
ubuntu_codename=$(lsb_release -cs); \
AMD_GPU_SCRIPT_URL="https://repo.radeon.com/amdgpu-install/${hip_version}/ubuntu/${ubuntu_codename}/${AMD_GPU_SCRIPT_NAME}"; \
# Download and install AMD GPU software with ROCM and HIP support
wget $AMD_GPU_SCRIPT_URL; \
apt-get install -y ./${AMD_GPU_SCRIPT_NAME}; \
rm ./${AMD_GPU_SCRIPT_NAME}; \
amdgpu-install -y --usecase=hip,rocm --no-dkms; \
apt-get install -y hip-dev hipblas miopen-hip rocm-hip-sdk rocm-device-libs; \
# Install protobuf dependencies
apt-get update -y && sudo apt-get install -y pkg-config zip g++ zlib1g-dev autoconf automake libtool make; \
# apt-get update -y && sudo apt-get install -y pkg-config zip g++ zlib1g-dev autoconf automake libtool make; \
else \
echo "FF_GPU_BACKEND: ${FF_GPU_BACKEND}. Skipping installing HIP dependencies"; \
fi
RUN rm -rf /var/lib/apt/lists/*

# Install python packages and other dependencies
RUN conda install -c conda-forge cmake make pillow cmake-build-extension numpy pandas keras-preprocessing
RUN conda install -c conda-forge cmake make cmake-build-extension numpy pandas
# Install Pytorch
COPY docker/flexflow-environment/install_pytorch.sh /usr/local/bin/install_pytorch.sh
RUN if [ "$FF_GPU_BACKEND" == "cuda" ] ; then \
Expand All @@ -130,5 +135,31 @@ RUN pip3 install streamlit
# Install Rust
RUN curl https://sh.rustup.rs -sSf | sh -s -- -y
ENV PATH /root/.cargo/bin:$PATH
# RUN ln -s /opt/conda /opt/saturncloud
# RUN sudo apt update -y && sudo apt install -y openssh-server openssh-client
# # Make a user called jovyan with uid=1000 and their home directory created
# RUN useradd -m -u 1000 -s /bin/bash jovyan
# # Enable passwordless sudo for all users
# RUN echo "ALL ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers
# RUN sudo useradd --uid 1000 --create-home --home-dir /home/jovyan --shell /bin/bash jovyan
# RUN sudo passwd -d jovyan

# Install sshd
RUN apt-get update && apt-get install -y openssh-server

# Symlink conda folder to /opt/saturncloud
RUN ln -s /opt/conda /opt/saturncloud

# Create the jovyan user with UID 1000
RUN useradd -m -u 1000 -s /bin/bash jovyan
# Add jovyan to the sudo group
RUN usermod -aG sudo jovyan
# Configure passwordless sudo for jovyan
RUN echo "jovyan ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/jovyan && \
chmod 440 /etc/sudoers.d/jovyan
# Set user to jovyan for subsequent commands (optional)
USER jovyan
# Set working directory (optional)
WORKDIR /home/jovyan

ENTRYPOINT ["/bin/bash"]
14 changes: 5 additions & 9 deletions requirements.txt
Original file line number Diff line number Diff line change
@@ -1,16 +1,12 @@
cffi>=1.11.0
numpy>=1.16.0
qualname>=0.1.0
keras_preprocessing>=1.1.2
Pillow
cffi
numpy
cmake-build-extension
ninja
requests
regex
torch>=1.13.1
torchaudio>=0.13.1
torchvision>=0.14.1
onnx
torch
torchaudio
torchvision
transformers>=4.47.1
sentencepiece
einops
Expand Down
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