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This function is more accurate than torch.log() for small values of input - https://pytorch.org/docs/stable/generated/torch.log1p.html

Found with TorchFix https://github.com/pytorch-labs/torchfix/

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* add mask-based moe permutation

* change moe_chunk_permute to moe_sort_chunks_by_indices

* fix __all__ in pytorch/permutation.py

* fix func/var names and typos; update tols in UT

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only compare the recipe in AttentionParams.fp8_meta
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Consolidate the distributed fused attention tests to shared input generation and execition logic.
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* corrected RS overlap BF16 output clashing with Float8Tensor constructor
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* Add a compile option to compile activation kernels with fast math
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Take token count quantization of fused attention into consideration for CP results correction (#1396)

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Correct fused attention output after each step to reduce intermediate memory use.
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the current implementation would release the output of ln, leading to an error if setting `return_layernorm_output=True`.
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