* Distributed Model Parallel Training * Pruning functionalities have been added to PyTorch - New Features: * torch.optim.lr_scheduler now support “chaining.” * torch.distributed.rpc is a newly introduced package - full Changelog listed in relases file or under https://github.com/pytorch/pytorch/releases - added files: * skip-third-party-check.patch which is a patch to skip the check of disabled dependencies * QNNPACK-7d2a4e9931a82adc3814275b6219a03e24e36b4c.tar.gz which is part of pytorch but developed in different repo - removed patch files: * fix-build-options.patch * honor-PSIMD-env.patch * removed-some-tests.patch - Requires python-PeachPy on x86_64 only, as it is optional and available on x86_64 only OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=7
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130 B
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4 lines
130 B
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