GitLab

* Remove if-else and torch.tensor to meet cudagraph requirement
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* Add is_cg_capturable flag to guard the if-else statement
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* optimize permute
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* fix lint
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Add env to chose blocklen of blockwise quantize.
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Fix pytest of blockwise error
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Resolve new api in  int8 gemm test
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Fix incorrect launch parm
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Fix 1D blockwise(64) acc error
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* Fix an issue when mcore uses te fusion ce implementation
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* simplify unit test code
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* Update tests/pytorch/test_parallel_cross_entropy.py
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* Added token ignoring for CE loss
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* Added tests
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* add support for new recipe on permute_fusion, rm fp unpermute
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* fix lint
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* remove fp8 from index map
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* skip unsupported tests
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fix cpu device import error
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* Added parallel cross entropy loss implementation using online softmax
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* Added tests
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* Added reshape of loss output
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* Added to test list
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* Added Triton dependency
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* Added copyright
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* Fixed lint errors
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* Update setup.py
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* Fixed lint and triton failure
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* Removed flattening for scalars
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* Skip tests on Blackwell due to TE CI caveat
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* Added reason arg
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* Do not register Triton dependency with setuptools
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* add prob permute; fix fp8tensor
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* revert unnecessary changes in UT
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* remove unnecessary probs dtype convert
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* keep the output nums if probs is not provided
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* refine the doc string
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* fix lint
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* use fp32 compute type
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* style fix
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* fix empty input return
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* separate prob related functions out
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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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