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fvcore channel priority

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Summary: As remarked in #655, we need to specify the fvcore channel before conda-forge, because there is now an fvcore on conda-forge which we don't aim to use. Compare D27589827

Reviewed By: nikhilaravi

Differential Revision: D27938996

fbshipit-source-id: 8abf7994a26e0ea9e6a19fb1e246aba7af091ddc
This commit is contained in:
Jeremy Reizenstein 2021-04-22 14:12:55 -07:00 committed by Facebook GitHub Bot
parent b538f10796
commit 6053d0e46f
3 changed files with 3 additions and 3 deletions
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2
INSTALL.md
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@ -22,7 +22,7 @@ The runtime dependencies can be installed by running:
conda create -n pytorch3d python=3.8 conda create -n pytorch3d python=3.8
conda activate pytorch3d conda activate pytorch3d
conda install -c pytorch pytorch=1.7.1 torchvision cudatoolkit=10.2 conda install -c pytorch pytorch=1.7.1 torchvision cudatoolkit=10.2
conda install -c conda-forge -c fvcore -c iopath fvcore iopath conda install -c fvcore -c iopath -c conda-forge fvcore iopath
``` ```
For the CUB build time dependency, if you are using conda, you can continue with For the CUB build time dependency, if you are using conda, you can continue with

2
dev/run_tutorials.sh
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@ -19,7 +19,7 @@ conda init bash
source ~/.bashrc source ~/.bashrc
conda create -y -n myenv python=3.8 matplotlib ipython ipywidgets nbconvert conda create -y -n myenv python=3.8 matplotlib ipython ipywidgets nbconvert
conda activate myenv conda activate myenv
conda install -y -c conda-forge -c fvcore -c iopath fvcore iopath conda install -y -c fvcore -c iopath -c conda-forge fvcore iopath
conda install -y -c pytorch pytorch=1.6.0 cudatoolkit=10.1 torchvision conda install -y -c pytorch pytorch=1.6.0 cudatoolkit=10.1 torchvision
conda install -y -c pytorch3d-nightly pytorch3d conda install -y -c pytorch3d-nightly pytorch3d
pip install plotly scikit-image pip install plotly scikit-image

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packaging/build_conda.sh
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@ -26,4 +26,4 @@ then
fi fi
# shellcheck disable=SC2086 # shellcheck disable=SC2086
conda build $CONDA_CHANNEL_FLAGS ${TEST_FLAG:-} -c bottler -c defaults -c conda-forge -c fvcore -c iopath --no-anaconda-upload --python "$PYTHON_VERSION" packaging/pytorch3d conda build $CONDA_CHANNEL_FLAGS ${TEST_FLAG:-} -c bottler -c defaults -c fvcore -c iopath -c conda-forge --no-anaconda-upload --python "$PYTHON_VERSION" packaging/pytorch3d