Commits · 0d874a4e7f1b73692cc6f4d7ee06542680bc15a5 · OpenDAS / TransformerEngine

02 Jan, 2026 1 commit
- Update copyright to include year 2026 (#2553) · 830ef60f
  Kirthi Shankar Sivamani authored Jan 02, 2026
```
Update copyright to include 2026
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
```
  830ef60f
22 Oct, 2025 1 commit

[PyTorch] Decouple python quantization classes and refactor custom quantization (#2276) · ce2e8bd1

Evgeny Tsykunov authored Oct 22, 2025



* 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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ce2e8bd1

14 Oct, 2025 1 commit

Generalize quantization APIs for FP8/FP4/.. recipes (#2256) · 85a91997

Kirthi Shankar Sivamani authored Oct 14, 2025



* Initial API change
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Change all imports and api
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* format
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* fixes
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* fix typo
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* fix recipe tets
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* fix more tests
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* fix docs, tests, and make Jax change as well
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* Change internal uses of fp8_autocast
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* Address nits
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* rename file
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* CG function, and small test fixes
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* Change instances of make_graphed_callables internally
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* Fix distributed tests
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* Review
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* Review
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* Fix test and add more docs
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* Cleanup test imports and minimize internal file imports
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* Make is_bf16_available public
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* fixes
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* fix tests
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* Better docs and better api
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* format
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* Apply suggestions from code review
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* fix nvfp4 test
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85a91997

01 Oct, 2025 1 commit

[PyTorch] Quantizer as API (#2039) · 7022d50f

Evgeny Tsykunov authored Oct 01, 2025



* Introduce QuantizerBase
Signed-off-by: Evgeny <etsykunov@nvidia.com>

* Expose as a first-class API
Signed-off-by: Evgeny <etsykunov@nvidia.com>

* Undo QuantizerBase
Signed-off-by: Evgeny <etsykunov@nvidia.com>

* Make Quantizer a base class without implementations
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* Support CustomRecipe and CustomRecipeState
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* Resolving comments: quantize impl, num_quantizers, defaults
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* Quantizer factories
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* Add tests
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* QuantizedTensorBase _get_quantizer() + quantize_()
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* Experimental note + LayerNormMLP fix
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* tensor._internal -> tensor.base
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* Expose
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* Minor import fix
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* Single quantizer factory with roles
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* More context for qfactory, fwd/bwd_roles
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* Minor
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* Rename *Base -> *Storage quantized tensors
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* make_quantizers() will take roles from the operation
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* Improve tests and fix missing imports
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* Apply suggestions from code review
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* Merge main followup
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7022d50f