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Prefer nvidia channel for conda builds #5648

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Mar 21, 2022
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4 changes: 2 additions & 2 deletions .circleci/unittest/linux/scripts/install.sh
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ else
fi
echo "Using CUDA $CUDA_VERSION as determined by CU_VERSION"
version="$(python -c "print('.'.join(\"${CUDA_VERSION}\".split('.')[:2]))")"
cudatoolkit="cudatoolkit=${version}"
cudatoolkit="nvidia::cudatoolkit=${version}"
fi

case "$(uname -s)" in
Expand All @@ -33,7 +33,7 @@ printf "Installing PyTorch with %s\n" "${cudatoolkit}"
if [ "${os}" == "MacOSX" ]; then
conda install -y -c "pytorch-${UPLOAD_CHANNEL}" "pytorch-${UPLOAD_CHANNEL}"::pytorch "${cudatoolkit}" pytest
else
conda install -y -c "pytorch-${UPLOAD_CHANNEL}" "pytorch-${UPLOAD_CHANNEL}"::pytorch[build="*${version}*"] "${cudatoolkit}" pytest
conda install -y -c "pytorch-${UPLOAD_CHANNEL}" -c nvidia "pytorch-${UPLOAD_CHANNEL}"::pytorch[build="*${version}*"] "${cudatoolkit}" pytest
fi

printf "* Installing torchvision\n"
Expand Down
2 changes: 1 addition & 1 deletion packaging/build_cmake.sh
Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ else
PYTORCH_MUTEX_CONSTRAINT=''
fi

conda install -yq \pytorch=$PYTORCH_VERSION $CONDA_CUDATOOLKIT_CONSTRAINT $PYTORCH_MUTEX_CONSTRAINT $MKL_CONSTRAINT numpy -c "pytorch-${UPLOAD_CHANNEL}"
conda install -yq \pytorch=$PYTORCH_VERSION $CONDA_CUDATOOLKIT_CONSTRAINT $PYTORCH_MUTEX_CONSTRAINT $MKL_CONSTRAINT numpy -c nvidia -c "pytorch-${UPLOAD_CHANNEL}"
TORCH_PATH=$(dirname $(python -c "import torch; print(torch.__file__)"))

if [[ "$(uname)" == Darwin || "$OSTYPE" == "msys" ]]; then
Expand Down
2 changes: 1 addition & 1 deletion packaging/build_conda.sh
Original file line number Diff line number Diff line change
Expand Up @@ -18,4 +18,4 @@ if [[ "$CU_VERSION" == cu115 ]]; then
export CUDATOOLKIT_CHANNEL="conda-forge"
fi

conda build -c defaults -c $CUDATOOLKIT_CHANNEL $CONDA_CHANNEL_FLAGS --no-anaconda-upload --python "$PYTHON_VERSION" packaging/torchvision
conda build -c $CUDATOOLKIT_CHANNEL -c defaults $CONDA_CHANNEL_FLAGS --no-anaconda-upload --python "$PYTHON_VERSION" packaging/torchvision