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d6412c94dc
Summary: We have already uploaded a conda package of the cub 1.10.0 sources to our channel on anaconda. Here is the code we used. Reviewed By: nikhilaravi Differential Revision: D25395358 fbshipit-source-id: b58fd473fcafd425c98c9d7a7c32574f651383a0
27 lines
783 B
Markdown
27 lines
783 B
Markdown
## For building conda package for NVIDIA CUB
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CUB is required for building PyTorch3D so it makes sense
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to provide a conda package to make its header files available.
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This directory is used to do that, it is independent of the rest
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of this repo.
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Make sure you are in a conda environment with
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anaconda-client and conda-build installed.
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From this directory, build the package with the following.
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```
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mkdir -p ./out
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conda build --no-anaconda-upload --output-folder ./out cub
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```
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You can then upload the package with the following.
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```
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retry () {
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# run a command, and try again if it fails
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$* || (echo && sleep 8 && echo retrying && $*)
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}
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file=out/linux-64/nvidiacub-1.10.0-0.tar.bz2
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retry anaconda --verbose -t ${TOKEN} upload -u pytorch3d --force ${file} --no-progress
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```
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