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libibverbs was merged into rdma-core.
References
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https://lists.archlinux.org/pipermail/aur-requests/2018-October/027305.html
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The current method for choosing the cuda architecture in the build
is by using the TORCH_CUDA_ARCH_LIST environment variable.
According to comments in the upstream source code, in the future
this method will change to a cmake option of the same name.
References
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https://github.com/pytorch/pytorch/blob/93ecf4d72ada7fd6cbcf9ec582ecb0e37344bc7c/cmake/public/utils.cmake#L165-L190
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gcc54 is no longer on the official repositories. Fortunatelly,
upstream caffe2 git master now builds fine with gcc7, which is
the current default cuda compiler (cuda 10.0).
nanopb submodule was removed by upstream.
The eigen patch to fix build with system eigen is no longer
needed because upstream have implemented the cmake option
USE_SYSTEM_EIGEN_INSTALL, which we can set to OFF here.
References
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https://github.com/pytorch/pytorch/commit/964e30de1d1e35b8f5b092ad5126a15cf573724b
https://github.com/pytorch/pytorch/commit/c172ffb6321db128fb42f77554869f66406c06c4
https://github.com/pytorch/pytorch/commit/684b55d76257141aa9ea6eb55923896ca4f7d029
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