mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-08-02 03:42:50 +08:00
e0753f0b0d
Summary: For Linux, instead of uploading wheels to PyPI which will only work with one particular version of PyTorch and CUDA, from the next release we will store a range of built wheels on S3. Reviewed By: nikhilaravi Differential Revision: D26209398 fbshipit-source-id: 945a6907b78807e1eedb25007f87f90bbf59f80e
103 lines
3.6 KiB
Bash
103 lines
3.6 KiB
Bash
#!/bin/bash
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# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
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set -ex
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conda init bash
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# shellcheck source=/dev/null
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source ~/.bashrc
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cd /inside
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VERSION=$(python -c "exec(open('pytorch3d/__init__.py').read()); print(__version__)")
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export BUILD_VERSION=$VERSION
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export FORCE_CUDA=1
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wget --no-verbose https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
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tar xzf 1.10.0.tar.gz
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CUB_HOME=$(realpath ./cub-1.10.0)
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export CUB_HOME
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echo "CUB_HOME is now $CUB_HOME"
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PYTHON_VERSIONS="3.6 3.7 3.8 3.9"
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# the keys are pytorch versions
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declare -A CONDA_CUDA_VERSIONS=(
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# ["1.4.0"]="cu101"
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# ["1.5.0"]="cu101 cu102"
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# ["1.5.1"]="cu101 cu102"
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# ["1.6.0"]="cu101 cu102"
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["1.7.0"]="cu101 cu102 cu110"
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["1.7.1"]="cu101 cu102 cu110"
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)
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for python_version in $PYTHON_VERSIONS
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do
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for pytorch_version in "${!CONDA_CUDA_VERSIONS[@]}"
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do
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if [[ "3.6 3.7 3.8" != *$python_version* ]] && [[ "1.4.0 1.5.0 1.5.1 1.6.0 1.7.0" == *$pytorch_version* ]]
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then
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#python 3.9 and later not supported by pytorch 1.7.0 and before
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continue
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fi
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if [[ "3.9" == "$python_version" ]]
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then
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extra_channel="-c conda-forge"
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else
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extra_channel=""
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fi
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for cu_version in ${CONDA_CUDA_VERSIONS[$pytorch_version]}
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do
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case "$cu_version" in
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cu110)
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export CUDA_HOME=/usr/local/cuda-11.0/
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export CUDA_TAG=11.0
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export NVCC_FLAGS="-gencode=arch=compute_35,code=sm_35 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_50,code=compute_50"
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;;
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cu102)
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export CUDA_HOME=/usr/local/cuda-10.2/
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export CUDA_TAG=10.2
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export NVCC_FLAGS="-gencode=arch=compute_35,code=sm_35 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_50,code=compute_50"
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;;
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cu101)
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export CUDA_HOME=/usr/local/cuda-10.1/
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export CUDA_TAG=10.1
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export NVCC_FLAGS="-gencode=arch=compute_35,code=sm_35 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_50,code=compute_50"
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;;
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*)
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echo "Unrecognized cu_version=$cu_version"
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exit 1
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;;
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esac
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tag=py"${python_version//./}"_"${cu_version}"_pyt"${pytorch_version//./}"
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outdir="/inside/packaging/linux_wheels/output/$tag"
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if [[ -d "$outdir" ]]
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then
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continue
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fi
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conda create -y -n "$tag" "python=$python_version"
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conda activate "$tag"
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conda install -y -c pytorch $extra_channel "pytorch=$pytorch_version" "cudatoolkit=$CUDA_TAG" torchvision
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pip install fvcore iopath
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echo "python version" "$python_version" "pytorch version" "$pytorch_version" "cuda version" "$cu_version" "tag" "$tag"
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rm -rf dist
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python setup.py clean
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python setup.py bdist_wheel
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rm -rf "$outdir"
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mkdir -p "$outdir"
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cp dist/*whl "$outdir"
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conda deactivate
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done
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done
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done
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echo "DONE"
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