mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-11-04 18:02:14 +08:00
update wheel scripts
Summary: New versions of cuda etc. I haven't committed recent changes to this for a while Reviewed By: shapovalov Differential Revision: D47396136 fbshipit-source-id: d6c27f5056fa8f4a74a628fa1d831159000acf55
This commit is contained in:
Jeremy Reizenstein
Facebook GitHub Bot
parent
6462aa60ea
commit
2883a07bfe
@ -5,7 +5,13 @@
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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sudo docker run --rm -v "$PWD/../../:/inside" pytorch/conda-cuda bash inside/packaging/linux_wheels/inside.sh
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sudo docker run --rm -v "$PWD/../../:/inside" -e SELECTED_CUDA=cu113 pytorch/conda-builder:cuda113 bash inside/packaging/linux_wheels/inside.sh
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sudo docker run --rm -v "$PWD/../../:/inside" -e SELECTED_CUDA=cu115 pytorch/conda-builder:cuda115 bash inside/packaging/linux_wheels/inside.sh
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sudo docker run --rm -v "$PWD/../../:/inside" -e SELECTED_CUDA=cu116 pytorch/conda-builder:cuda116 bash inside/packaging/linux_wheels/inside.sh
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# Some directory to persist downloaded conda packages
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conda_cache=/raid/$USER/building_conda_cache
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mkdir -p "$conda_cache"
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sudo docker run --rm -v "$conda_cache:/conda_cache" -v "$PWD/../../:/inside" -e SELECTED_CUDA=cu113 pytorch/conda-builder:cuda113 bash inside/packaging/linux_wheels/inside.sh
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sudo docker run --rm -v "$conda_cache:/conda_cache" -v "$PWD/../../:/inside" -e SELECTED_CUDA=cu115 pytorch/conda-builder:cuda115 bash inside/packaging/linux_wheels/inside.sh
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sudo docker run --rm -v "$conda_cache:/conda_cache" -v "$PWD/../../:/inside" -e SELECTED_CUDA=cu116 pytorch/conda-builder:cuda116 bash inside/packaging/linux_wheels/inside.sh
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sudo docker run --rm -v "$conda_cache:/conda_cache" -v "$PWD/../../:/inside" -e SELECTED_CUDA=cu117 pytorch/conda-builder:cuda117 bash inside/packaging/linux_wheels/inside.sh
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sudo docker run --rm -v "$conda_cache:/conda_cache" -v "$PWD/../../:/inside" -e SELECTED_CUDA=cu118 pytorch/conda-builder:cuda118 bash inside/packaging/linux_wheels/inside.sh
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@ -16,23 +16,32 @@ 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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export MAX_JOBS=8
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export CONDA_PKGS_DIRS=/conda_cache
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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 $CUB_HOME"
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if false
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then
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# We used to have to do this for old versions of CUDA
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wget --no-verbose https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
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tar xzf 1.10.0.tar.gz
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CUB_HOME=$(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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fi
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# As a rule, we want to build for any combination of dependencies which is supported by
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# PyTorch3D and not older than the current Google Colab set up.
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PYTHON_VERSIONS="3.7 3.8 3.9 3.10"
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PYTHON_VERSIONS="3.8 3.9 3.10"
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# the keys are pytorch versions
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declare -A CONDA_CUDA_VERSIONS=(
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["1.10.1"]="cu111 cu113"
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["1.10.2"]="cu111 cu113"
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["1.10.0"]="cu111 cu113"
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["1.11.0"]="cu111 cu113 cu115"
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# ["1.11.0"]="cu113"
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# ["1.12.0"]="cu113"
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# ["1.12.1"]="cu113"
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# ["1.13.0"]="cu116"
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# ["1.13.1"]="cu116 cu117"
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# ["2.0.0"]="cu117 cu118"
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["2.0.1"]="cu117 cu118"
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)
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@ -41,39 +50,43 @@ 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 [[ "3.7 3.8" != *$python_version* ]] && [[ "1.7.0" == *$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 [[ "3.7 3.8 3.9" != *$python_version* ]] && [[ "1.7.0 1.7.1 1.8.0 1.8.1 1.9.0 1.9.1 1.10.0 1.10.1 1.10.2" == *$pytorch_version* ]]
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then
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#python 3.10 and later not supported by pytorch 1.10.2 and before
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continue
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fi
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extra_channel="-c conda-forge"
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extra_channel="-c nvidia"
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cudatools="pytorch-cuda"
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if [[ "1.11.0" == "$pytorch_version" ]]
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then
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extra_channel=""
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cudatools="cudatoolkit"
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fi
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if [[ "1.12.0" == "$pytorch_version" ]] || [[ "1.12.1" == "$pytorch_version" ]]
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then
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extra_channel="-c conda-forge"
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cudatools="cudatoolkit"
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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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if [[ "cu113 cu115 cu116" == *$cu_version* ]]
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# ^^^ CUDA versions listed here have to be built
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# in their own containers.
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then
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if [[ $SELECTED_CUDA != "$cu_version" ]]
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then
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continue
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fi
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elif [[ $SELECTED_CUDA != "" ]]
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then
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continue
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fi
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case "$cu_version" in
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cu118)
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export CUDA_HOME=/usr/local/cuda-11.8/
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export CUDA_TAG=11.8
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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_86,code=sm_86 -gencode=arch=compute_50,code=compute_50"
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;;
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cu117)
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export CUDA_HOME=/usr/local/cuda-11.7/
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export CUDA_TAG=11.7
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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_86,code=sm_86 -gencode=arch=compute_50,code=compute_50"
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;;
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cu116)
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export CUDA_HOME=/usr/local/cuda-11.6/
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export CUDA_TAG=11.6
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@ -130,7 +143,7 @@ do
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conda create -y -n "$tag" "python=$python_version"
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conda activate "$tag"
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# shellcheck disable=SC2086
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conda install -y -c pytorch $extra_channel "pytorch=$pytorch_version" "cudatoolkit=$CUDA_TAG" torchvision
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conda install -y -c pytorch $extra_channel "pytorch=$pytorch_version" "$cudatools=$CUDA_TAG"
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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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