This repository was archived by the owner on Sep 13, 2024. It is now read-only.
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Windows specific changes:
Bug fixes
- Errors in backward leads to deadlock
- Memory leak in multiprocessing using DataLoader
- An indention bug in torch.cuda
Features
- Add support for new CUDA and cuDNN versions
- Add support for Ninja and clcache when compiling
Known issues
- Some tests will fail
- There is no support for torch.distributed, nccl and magma
- No support for python versions other than 3.5 and 3.6
- Don't set num_worker to a number more than 1. ( 0 is safer ) Wrap your main code entry with an if statement like this.
if__name__=='__main__':
The packages are accessiblehere.
Assets2
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