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[PyTorch] Normalization ops #1033
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Commits on Jul 20, 2024
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Commits on Jul 22, 2024
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Add tests for linear and layernorm with FP8 output
Signed-off-by: Tim Moon <[email protected]>
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Commits on Jul 24, 2024
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Commits on Jul 26, 2024
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Commits on Jul 29, 2024
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Replace LayerNorm module with LayerNorm op
Signed-off-by: Tim Moon <[email protected]>
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Replace RMSNorm module with RMSNorm op
Signed-off-by: Tim Moon <[email protected]>
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Commits on Jul 30, 2024
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Commits on Aug 12, 2024
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Merge branch 'main' into norm-ops
Signed-off-by: Tim Moon <[email protected]>
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Do not save autograd context if grad mode is disabled
Debugging ONNX export tests. Signed-off-by: Tim Moon <[email protected]>
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Commits on Aug 16, 2024
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Forward args in pre_forward func to base op class
Signed-off-by: Tim Moon <[email protected]>
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Commits on Sep 3, 2024
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Commits on Sep 11, 2024
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Merge branch 'main' into norm-ops
Signed-off-by: Tim Moon <[email protected]>
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Update to use QuantizedTensor class
Signed-off-by: Tim Moon <[email protected]>
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Commits on Sep 17, 2024
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Apply suggestions from code review
Co-authored-by: Przemyslaw Tredak <[email protected]> Signed-off-by: Tim Moon <[email protected]>
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Commits on Sep 19, 2024
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Review suggestions from @ptrendx
Rename "CastFloat8" op to "Quantize". Add more fine-grained control for SM margin. Add docs for legacy sequence_parallel kwarg. Signed-off-by: Tim Moon <[email protected]>
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Commits on Sep 20, 2024
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