Matthew Hoffman e40d6ae0a7 Improve torch.cuda.amp type hints (#108630) ... Fixes #108629 1. Add the following to their modules' `__all__` so that pyright considers them to be publicly exported: * [`torch.autocast`](https://pytorch.org/docs/stable/amp.html#torch.autocast) * [`torch.cuda.amp.GradScaler`](https://pytorch.org/docs/stable/amp.html#torch.cuda.amp.GradScaler) * [`torch.cuda.amp.autocast`](https://pytorch.org/docs/stable/amp.html#torch.cuda.amp.autocast) * [`torch.cuda.amp.custom_fwd`](https://pytorch.org/docs/stable/amp.html#torch.cuda.amp.custom_fwd) * [`torch.cuda.amp.custom_bwd`](https://pytorch.org/docs/stable/amp.html#torch.cuda.amp.custom_bwd) 2. Add `overload`s for `torch.cuda.amp.GradScaler.scale` to differentiate when a `torch.Tensor` is returned vs. an `Iterable[torch.Tensor]` is returned based on the type of the `outputs` parameter. Pull Request resolved: https://github.com/pytorch/pytorch/pull/108630 Approved by: https://github.com/ezyang		2023-09-08 06:06:25 +00:00
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amp	Improve torch.cuda.amp type hints (#108630)	2023-09-08 06:06:25 +00:00
__init__.py	Correctly format original traceback for delayed CUDA error (#107297)	2023-08-17 03:13:31 +00:00
_memory_viz.py	MemoryViz.js: format, move style (#106482)	2023-08-03 00:42:13 +00:00
_sanitizer.py	Apply UFMT to low traffic torch modules (#106249)	2023-07-29 23:37:30 +00:00
_utils.py	Apply UFMT to low traffic torch modules (#106249)	2023-07-29 23:37:30 +00:00
comm.py	Apply UFMT to low traffic torch modules (#106249)	2023-07-29 23:37:30 +00:00
error.py
graphs.py	Expose cudaStreamCaptureMode in CUDA Graphs, use local setting in inductor (#107407)	2023-08-25 01:44:26 +00:00
jiterator.py	Apply UFMT to low traffic torch modules (#106249)	2023-07-29 23:37:30 +00:00
memory.py	[memory snapshots] _record_memory_history_legacy bug fix (#108260)	2023-08-30 22:33:04 +00:00
nccl.py	Apply UFMT to low traffic torch modules (#106249)	2023-07-29 23:37:30 +00:00
nvtx.py	Apply UFMT to low traffic torch modules (#106249)	2023-07-29 23:37:30 +00:00
profiler.py	Apply UFMT to low traffic torch modules (#106249)	2023-07-29 23:37:30 +00:00
random.py	Apply UFMT to low traffic torch modules (#106249)	2023-07-29 23:37:30 +00:00
sparse.py
streams.py	Apply UFMT to low traffic torch modules (#106249)	2023-07-29 23:37:30 +00:00