Amadeusz Skrzypczak
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6be9d9a630
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Add AutocastHPU support (#84927)
New dispatch key and necessary functions are added to PyTorch. Backend implementation will be added in the external library.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/84927
Approved by: https://github.com/bdhirsh
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2022-10-12 19:37:16 +00:00 |
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ProGamerGov
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8def154e00
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Fix multiple docstring type mistakes (#82474)
### Description
* Docstrings using `(tuple of ints)` shows up as `(tuple of python:ints)`, so I fixed them by making the `int` no longer plural. Example: https://pytorch.org/docs/stable/generated/torch.permute.html#torch.permute
* A docstring type in JIT had one of its types incorrectly highlighted as code. Example: https://pytorch.org/docs/stable/generated/torch.jit.script.html#torch.jit.script
* I found some docstring type usages of `string` that had not yet been converted to `str` after #82410
* Some docstrings incorrectly listed their defaults inside the docstring types.
* I also found a docstring that was missing its type
### Testing
No testing should be required.
---
In the developer guidelines, there should probably be standards listed for the docstring types.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/82474
Approved by: https://github.com/albanD
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2022-07-29 17:45:37 +00:00 |
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ProGamerGov
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357b7d589c
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Fix docstring inconsistencies: string -> str, boolean -> bool (#82410)
### Description
Throughout the PyTorch docs and codebase, the `string` type in docstrings is referred to by two separate names. This leads to inconsistent docs, like you can see here: https://pytorch.org/docs/stable/generated/torch.nn.Conv3d.html#torch.nn.Conv3d
This PR fixes this issue by ensuring that all mentions of the string type in docstrings, are using the same format that Sphinx generates hyperlinks for.
### Testing
No testing should be required for this change
Pull Request resolved: https://github.com/pytorch/pytorch/pull/82410
Approved by: https://github.com/jbschlosser
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2022-07-28 21:29:57 +00:00 |
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anjali411
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f68f77610a
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Add __all__ to torch.nn.quantized, fx.passes, ao.nn and amp submodules (#80376)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/80376
Approved by: https://github.com/albanD
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2022-06-27 21:36:27 +00:00 |
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albanD
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4aca751921
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remove spurious warning in amp (#79203)
fix https://github.com/pytorch/pytorch/issues/72527
Pull Request resolved: https://github.com/pytorch/pytorch/pull/79203
Approved by: https://github.com/anjali411
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2022-06-10 21:53:58 +00:00 |
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leslie-fang-intel
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f2d9fc18f1
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Update amp document with CPU Training/Inference Examples (#77244)
This PR mainly updates the document with CPU Training/Inference Examples.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/77244
Approved by: https://github.com/H-Huang
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2022-05-11 15:42:45 +00:00 |
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Guo Yejun
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6f991fc5fc
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add XPU support for autocast
Pull Request resolved: https://github.com/pytorch/pytorch/pull/75250
Approved by: https://github.com/bdhirsh
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2022-04-19 21:18:23 +00:00 |
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leslie-fang-intel
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3a112ebb57
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add autocast cpu doc
As discussed in https://github.com/pytorch/pytorch/issues/55374#issuecomment-968333614, here we update the cpu autocast operation list in autocast API document.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/68567
Approved by: https://github.com/ezyang
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2022-03-22 02:02:43 +00:00 |
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