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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/61608 See #61544 for an example of issues created by functional wrappers. In this case, these are directly wrapping the native function with no added functionality. One exception was `bilinear` which was just missing the default argument in C++, but was otherwise the same. I've kept the symbol `torch.functional.istft` because it looks like public API, but it could just as easily be moved to `_torch_docs.py`. Test Plan: Imported from OSS Reviewed By: ngimel Differential Revision: D31401361 Pulled By: albanD fbshipit-source-id: 162b74d0b2d4f2e5c4834687a94541960cefdd52 (cherry picked from commit 700cd73ca121d903f04f539af171d3f768565921) |
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| .. | ||
| __init__.py | ||
| test_deprecated_jit_quant.py | ||
| test_fusion_passes.py | ||
| test_quantize_jit.py | ||