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* rename experimental -> custom_recipes
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* Decouple python base classes (api)
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* update test_custom_recipe
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* Rename experimental -> custom
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* Minor
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* Fix import
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* Update tests/pytorch/nvfp4/test_nvfp4_rht_quantize_exact.py
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* Update tests/pytorch/test_custom_recipe.py
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* quantization_base -> quantized_tensor rename
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* optimize permute
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* fix lint
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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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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* skip unsupported tests
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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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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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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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* Upgrade pylint and first round formatting
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* round 2
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* round 3
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* Reviews
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* FIxes
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* More linting
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* Run formatter
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* Fixes
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* remove dtype from args
* update docs with permutation ops

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* Add permutation functions

* Add permutation ops

* Remove the dependency on cutlass

* Move permutation.py out of module dir

* Rewrite the unit test and enable skipping if FP8 is unavailable

* Rename exposed C++ API and reorder its parameters + take NVTETensor as inputs

* Use Float8Tensor for FP8 input

* Move dtype to ctx

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