| Commit message (Collapse) | Author | Age | Files | Lines |
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Apparently the commit in the main branch of pytorch/pytorch that fixes this issue didn't make it into PyTorch 2.0.1, and since it is unclear exactly which release will have it we'll just always apply the workaround so a crash doesn't occur regardless.
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On PyTorch 2.0, with MPS layer_norm only accepts float32 inputs. This was fixed shortly after 2.0 was finalized so the workaround can be applied with an exact version match.
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Credit to danieldk (https://github.com/explosion/curated-transformers/pull/124) for the workaround this is based on.
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The test isn't working correctly on macOS 13.3 and the bool tensor fix for cumsum is currently always needed anyway, so enable the fix by default.
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Move most Mac related code to a separate file, don't even load it unless web UI is run under macOS.
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