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# Motivation According to [[1/2] Intel GPU Runtime Upstreaming for Generator](https://github.com/pytorch/pytorch/pull/118528), as mentioned in [[RFC] Intel GPU Runtime Upstreaming](https://github.com/pytorch/pytorch/issues/114842), the second PR covers the changes under `python frontend`. # Design Currently, it primarily offers geneartor-related APIs, including - `torch.xpu.default_generators` - `torch.xpu.get_rng_state` - `torch.xpu.get_rng_state_all` - `torch.xpu.initial_seed` - `torch.xpu.manual_seed` - `torch.xpu.manual_seed_all` - `torch.xpu.seed` - `torch.xpu.seed_all` - `torch.xpu.set_rng_state` - `torch.xpu.set_rng_state_all` # Additional Context The differences with CUDA: The generator-related frontend python APIs are 1:1 mapping with CUDA. Pull Request resolved: https://github.com/pytorch/pytorch/pull/118613 Approved by: https://github.com/gujinghui, https://github.com/EikanWang, https://github.com/jgong5, https://github.com/albanD |
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| .. | ||
| caffe2 | ||
| cpp | ||
| source | ||
| .gitignore | ||
| libtorch.rst | ||
| make.bat | ||
| Makefile | ||
| README.md | ||
| requirements.txt | ||
Please see the Writing documentation section of CONTRIBUTING.md for details on both writing and building the docs.