Commits · 3b8d9a8ae9213b3699dac7299f8abcc080d28dd3 · OpenDAS / TransformerEngine

18 Nov, 2025 1 commit

[PyTorch] Implement Selective Activation Checkpointing for LayerNormMLP with... · 05bfa3f8

Jaime authored Nov 18, 2025


[PyTorch] Implement Selective Activation Checkpointing for LayerNormMLP with checkpoint flag (#2311)

* custom tests for selective activation checkpointing for layernorm mlp
Signed-off-by: Jaime Cardenas <jaime@evolutionaryscale.ai>

* add selective layernorm mlp to te.pytorch
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* update test and fix SLNMLP bug
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* implement slnmlp
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* fix tests pointed out by greptile app bot, still pass
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* minor formatting change in tests/pytorch/selective_layernorm_mlp/distributed/run_numerics.py
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* remove duplicate import in test/pytorch/selective_layernorm_mlp/test_recipe.py
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* clean up tests, remove unused imports
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* remove unused paths in test_deffered_init
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* fix issue with zero_centered_gamma in test_numerics reference implementation
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* clean up tests
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* make comparison.py more extensive, cleaner output
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* fix small typo in tests/pytorch/selective_layernorm_mlp/compare.py
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* fix typo by grepbot in compare.py
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* make selectiuve activation checkpointing optional in slnmlp via checkpoint flag
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* add comments to clarify logic
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* add checkpoint param to pytests, change compare.py to compare checkppoint=False vs checkpoint=True, skip cuda graph tests for checkpoint=True
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* refactor tests to call modified LayerNormMLP
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* refactor to implement selective activation checkpointing directly into LayerNormMLP, also fix bug to reach cleanup logic in fwd
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* fix skip explanation for cuda_graphs.py
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* make _recompute deal with lists instead of tuples
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* fix MOST cuda graph failures by initializing identical quantizers during fwd. Float8CurrentScaling with bf16 and fp16 still fail with checkpointing
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* fix cuda graphs issue, all tests pass now
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* fix small logic bugs, clean up
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* integrate tests into main testing scripts
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* incorporate rng state tracking in checkpointing
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* clean up tests
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* fix return type mismatches
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* remove checkpoint test from test_recipe, add sperate test in test_numerics
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* minor typo fix
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* clear up assertions in tests/pytorch/layernorm_mlp/test_selective_activation_checkpoint.py
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* add license and copyright info
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* fix lint issues in layernorm_mlp
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* fix cpu_offload_v1 error
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* possibly fix recomputation in cuda graph bug
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* skip cuda graphs test for SLNMLP with SM>=10.0 and using delayed scaling
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* fix typo for setting IS_FIRST_FP8_MODULE
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05bfa3f8

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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17 Sep, 2025 1 commit

FP8 Output Quantization for GEMM (#2123) · ba37529c

vthumbe1503 authored Sep 16, 2025



* Test working as I think it should work
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[PyTorch] Disable determinism for sm100 (#2130) · a5c79876

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a5c79876

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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```
  07db17b5
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[PyTorch] Prune L0 unit test (#1999) · aac74427

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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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26 Jun, 2025 1 commit

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

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19 May, 2025 1 commit

[Pytorch] NVIDIA-DL-Framework-Inspect support – part 3 – tests (#1612) · 2645eaec

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13 May, 2025 1 commit

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

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11 May, 2025 1 commit

[C][PyTorch]Make pytorch extensions pure cpp (#1754) · 51cd4415

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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

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14 Apr, 2025 1 commit

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

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10 Apr, 2025 1 commit

Blockwise scaling linear quantization recipe (#1559) · a8f0fe03

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a8f0fe03

25 Mar, 2025 1 commit

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

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18 Mar, 2025 3 commits

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

Przemyslaw Tredak authored Mar 18, 2025



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99f40677

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

Charlene Yang authored Mar 18, 2025



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4f33ece4

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

Zhongbo Zhu authored Mar 07, 2025



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[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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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

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04 Oct, 2024 1 commit

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

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09 Sep, 2024 1 commit

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

Xin Yao authored Sep 09, 2024



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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



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21 Aug, 2024 1 commit

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

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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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09 Aug, 2024 1 commit

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

Xin Yao authored Aug 10, 2024



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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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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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