Commits · e1edaaec2bb1e6542e0e2dff81d5217ff5e1eb89 · OpenDAS / TransformerEngine

17 Nov, 2025 1 commit

[PyTorch] Reduce CPU overheads (#2377) · e1edaaec

Kirthi Shankar Sivamani authored Nov 17, 2025



Initial changes to remove pytorch overheads
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e1edaaec

21 Oct, 2025 1 commit

[PyTorch][MOE] Support NVFP4 Grouped Linear (#2215) · b4a1d4d6

Zhongbo Zhu authored Oct 20, 2025



* pipeclean, fix nvfp4 padding of 32 alignment
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b4a1d4d6

20 Oct, 2025 1 commit

[PyTorch] Fix CI failures due to deterministic attention backend (#2288) · bd55e7ba

Kirthi Shankar Sivamani authored Oct 20, 2025



* Fix CI failures due to deterministic attention
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* some more cleanup
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bd55e7ba

14 Oct, 2025 1 commit

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

Kirthi Shankar Sivamani authored Oct 14, 2025



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85a91997

18 Sep, 2025 1 commit

[Pytorch] Add Cutlass Grouped GEMM Support for fine-grained MoE Model (#2045) · 8aee1bb7

alan yang authored Sep 18, 2025



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8aee1bb7

17 Sep, 2025 1 commit

FP8 Output Quantization for GEMM (#2123) · ba37529c

vthumbe1503 authored Sep 16, 2025



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FP8 AllGather in FP8 GroupedGEMM + Fix Stream Usage Issue. (#2086)

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[PyTorch] Disable determinism for sm100 (#2130) · a5c79876

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26 Aug, 2025 1 commit
- [PyTorch] Expose more activation functions (#2106) · 07db17b5
  Xin Yao authored Aug 26, 2025
```
expose more activation functions
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```
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29 Jul, 2025 1 commit

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21 Jul, 2025 1 commit

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[PyTorch] Add save_original_input in Linear/GroupedLinear to save memory (#1865) · 07afda98

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[PyTorch debug] Run test_sanity with debug tools enabled. (#1908) · 1dd8f62d

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[PyTorch] Skip KV cache for sm89 and cuDNN < 9.12 (#1895) · cc0cb35d

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[PyTorch] Disable KV cache for sm89 and cuDNN < 9.11 (#1776) · c203f527

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28 Apr, 2025 1 commit

Refactor attention.py part 2 (#1704) · 8ace813c

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18 Apr, 2025 1 commit

Split wgrad&dgrad from backward() to support a2a overlap (#1653) · 9f8aaddf

Hongbin Liu authored Apr 18, 2025



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9f8aaddf

14 Apr, 2025 1 commit

[PyTorch][MoE] Enable New Recipes for Grouped Linear (#1525) · 4c9626e7

Xin Yao authored Apr 15, 2025



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4c9626e7

10 Apr, 2025 1 commit

Blockwise scaling linear quantization recipe (#1559) · a8f0fe03

kwyss-nvidia authored Apr 10, 2025



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a8f0fe03

25 Mar, 2025 1 commit

[PyTorch] Minor fixes for TE 2.2 (#1589) · 65c2798a

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65c2798a

18 Mar, 2025 3 commits

Fix return_bias option in LayerNormLinear and LayerNormMLP (#1569) · 99f40677

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99f40677

Add KV cache for paged/non-paged attention (#1355) · 4f33ece4

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Update full recompute feature to save recipe. (#1577) · 05f6a691

kwyss-nvidia authored Mar 17, 2025



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05f6a691

14 Mar, 2025 1 commit

Refactoring attention.py part 1 (#1542) · 37339478

Kshitij Lakhani authored Mar 14, 2025



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37339478

08 Mar, 2025 1 commit

[PyTorch] Enabling Per-Tensor Current Scaling Recipe (#1471) · 77fa1e59

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77fa1e59

19 Feb, 2025 1 commit

[PyTorch] Fix fuse_wgrad_accumulation for GroupedLinear (#1488) · fceff07a

Xin Yao authored Feb 20, 2025



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13 Feb, 2025 1 commit

Fix a bug for D being nullptr in grouped gemm (#1475) · f0d22ca1

Xin Yao authored Feb 13, 2025



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f0d22ca1

07 Feb, 2025 1 commit
- Update main branch with TE 2.0 code, update version to 2.1.0.dev0 · 544dd14b
  Przemek Tredak authored Feb 07, 2025
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02 Jan, 2025 1 commit
- Update copyright to include 2025 (#1388) · c9ea6be9
  Kirthi Shankar Sivamani authored Jan 02, 2025
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24 Oct, 2024 1 commit

[Pytorch] Check gradient in test numerics (#1229) · 7b284fef

Paweł Gadziński authored Oct 24, 2024



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7b284fef

04 Oct, 2024 1 commit

[PyTorch] Minor optimizations to reduce CPU overheads in modules (#1191) · 9d976bcd

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9d976bcd

09 Sep, 2024 1 commit

[PyTorch] Propagate fp8 scale-inverse modification to `GroupedLinear` (#1128) · 047a5072

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047a5072

05 Sep, 2024 1 commit

[PyTorch] Implement Fp8 padding and unpadding module (#1129) · 215db88d

Ruibin Cheung authored Sep 06, 2024



* [TE/PyTorch][MoE] Add FP8 padding and unpadding module 

 1. Add multi-tensor padding kernel for FP8 with padding size = 16.
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215db88d

21 Aug, 2024 1 commit

[PyTorch] Add support for padding mask in `UnfusedDotProductAttention` (#1073) · 467b39a3

Charlene Yang authored Aug 20, 2024



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467b39a3

20 Aug, 2024 1 commit

feat(pytorch): Allow TransformerLayer and MultiheadAttention to accept... · 5d5fe819

hXl3s authored Aug 20, 2024


feat(pytorch): Allow TransformerLayer and MultiheadAttention to accept sequence length parameters (#1066)

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5d5fe819

09 Aug, 2024 1 commit

[PyTorch] Reduce the CPU overheads of `GroupedLinear` (#1072) · 8b326059

Xin Yao authored Aug 10, 2024



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8b326059

01 Aug, 2024 1 commit

[Bugfix] Fixes for multi-stream cuBLAS (#1045) · 70117306

Xin Yao authored Aug 01, 2024



* fix workspaces and unfused bias in multi-stream cuBLAS

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* Fix C-compatibility

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70117306

31 Jul, 2024 1 commit

[pyTorch] Fix wrong results for noncontiguous input (#1017) · e113bf84

Przemyslaw Tredak authored Jul 31, 2024



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03 Jul, 2024 1 commit

[C/PyTorch] Add support for bottom-right-diagonal causal mask (#960) · 56e0b351

Charlene Yang authored Jul 03, 2024



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56e0b351