Commits · 3f5b47549567d13db76470073c8f0467c23d4fca · OpenDAS / TransformerEngine

29 Sep, 2025 2 commits

[Core][PyTorch] NVFP4 recipe (#2177) · 3f5b4754

Kirthi Shankar Sivamani authored Sep 29, 2025



* Add NVFP4 recipe
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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* Add MathDx dependency to GitHub builds
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* Suggestions from GitHub Copilot
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* Move 2x shape logic from core to PyTorch
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* Fix compilation errors with CUDA 12.1
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* SM 70 is not supported in CUDA 13
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* Typo
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* Revert "Move 2x shape logic from core to PyTorch"

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* Added dequantize kernel for FP4
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* Fix linter warning
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* Add NVFP4 support with fusible ops

Use logical tensor dims for PyTorch NVFP4 tensors. Temporarily add unfused dequantize impl. Fix bug where NVFP4 recipe was not configurable.
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* Fix logic for 2x shapes and move to PyTorch
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* Fix CG test model config
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* Debug NVFP4 tensor size function
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* Proper handling of the RNG state
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* Fix workspace size for GEMM heuristic.
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* Fix compile error in C++ NVFP4 test

Some some numeric errors when blocks are all zero.
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* API to have const float* alpha
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* Support fused amax kernels with NVFP4 quantization
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* Disable fused amax with cuDNN LayerNorm kernel
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* Add shape checks for NVFP4 cast kernels
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* Do not fuse amax if cuDNN normalization is forced by envvar
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3f5b4754

[JAX] Address tolerance check for current scaling dact dbias (#2211) · dfeef1a2
jberchtold-nvidia authored Sep 29, 2025
```
Address tolerance check for current scaling dact
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>
```
dfeef1a2

23 Sep, 2025 1 commit

[JAX] Local-Amax for Current-Scaling (#2183) · a92a0ad2

Ming-Xu Huang authored Sep 23, 2025



* Adding Amax Primitive and related args.
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* Enable local-amax for current-scaling and optionally run AR aross FSDP/TP/SP.
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* Adding doc for Amax Primitive.
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* Fix the function name conflict.
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* Modification as feedback suggested.
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* Fix errors from lint.
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* Fix the wrong amax-scope in the bwd.
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* Added more description for amax-scope
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* Fix the wrong attribute name.
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* Keep dim for AmaxCalcuation.
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* Remove keepDim and add shardy_rule
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* Fix shardy_rule
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* Remove extra-collective bytes from ref_coll_count due to local amax.
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a92a0ad2

22 Sep, 2025 1 commit

[PyTorch] Add sink attention support from cuDNN (#2148) · 5e4e0b2c

Charlene Yang authored Sep 22, 2025



* first draft; debug plan failure
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5e4e0b2c

18 Sep, 2025 2 commits

[PyTorch] Support FA3 for MLA and with CP (#1907) · c334fc46

zhujian authored Sep 18, 2025



feature(FA3,MLA,CP):
1. Update FA3 to commit-id 3ba6f82 (tag 2.8.0.post2 with compile error fixed), PR-1604 support hdimQK != hdimV backward
2. Update get_attention_backend method because FA3 support MLA now
3. Add CP MLA support for FA3
4. Add unit tests for FA3 MLA CP
5. Update attention doc
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c334fc46

[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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ba37529c

15 Sep, 2025 3 commits

[PyTorch] Support activation CPU offloading in fusible ops (#2158) · 59130cc9

Tim Moon authored Sep 15, 2025



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59130cc9

Lower precision gated-act to accelerate FP8 current-scaling. (#2153) · cd2034f3

Ming-Xu Huang authored Sep 15, 2025



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cd2034f3

[PyTorch Debug] Fix issue with negative underflow% stat. (#2107) · 405d474b

Paweł Gadziński authored Sep 15, 2025



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405d474b

10 Sep, 2025 2 commits

Adds context parallelism utilities: moving cp shards to diff ranks and pad... · 483d9594

jomitchellnv authored Sep 10, 2025


Adds context parallelism utilities: moving cp shards to diff ranks and pad sequence to divisibility factory (#2129)

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483d9594

Extract cpp distributed tests into a separate project (#2165) · 4903f947

vcherepanov-nv authored Sep 09, 2025



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4903f947

08 Sep, 2025 2 commits

Fused RoPE with combined QKV input. (#2122) · 84fa28d2

vasunvidia authored Sep 08, 2025



* Fused RoPE with combined QKV input.

Initial commit for Dropout with 8-bit RNG

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WIP

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84fa28d2

Fixing few issues with multi-process launching. (#2155) · aa06107c

Ming-Xu Huang authored Sep 08, 2025



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aa06107c

05 Sep, 2025 2 commits

[JAX] NoScaleTensor wrapper for non-quantized data (#2136) · c47f329b

jberchtold-nvidia authored Sep 05, 2025



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c47f329b

Fix CUDA version in setup.py (#2132) · b10f436a

vcherepanov-nv authored Sep 04, 2025



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b10f436a

04 Sep, 2025 1 commit

[PyTorch] fix cross entropy vanishing gradients (#2139) · e9a5fa4e

Casper authored Sep 04, 2025



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e9a5fa4e

03 Sep, 2025 2 commits

[JAX] Fix failing fused attn tests for dropout=0.1 and bias for sm100 (#2135) · f378eaf2

Kshitij Lakhani authored Sep 03, 2025



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f378eaf2

Fix CI failures for UB overlap changes (#2149) · 3b4366be
Daniel Stokes authored Sep 03, 2025
```
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```
3b4366be

31 Aug, 2025 1 commit

Dropout with 8-bit RNG (#2014) · e0e3d123

vasunvidia authored Aug 31, 2025



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e0e3d123

29 Aug, 2025 1 commit
- feat: Add support for multiple quantization modes in the UB communicators (#2043) · 715c3bb8
  Daniel Stokes authored Aug 29, 2025
  
  715c3bb8
28 Aug, 2025 3 commits

[PyTorch] ONNX export of FP8 Current Scaling (#2068) · 06a38cc0

Paweł Gadziński authored Aug 28, 2025



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06a38cc0

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

Charlene Yang authored Aug 28, 2025



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a5c79876

Temporarily remove comm_gemm tests (#2133) · c7761419
vcherepanov-nv authored Aug 27, 2025
```
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```
c7761419

27 Aug, 2025 2 commits

[JAX] Decouple Recipe and ScalingMode (#1728) · c9508000

jberchtold-nvidia authored Aug 27, 2025



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c9508000

FP8 AllGather in FP8 GroupedGEMM + Fix Stream Usage Issue. (#2086) · 62a57dd4

Ming-Xu Huang authored Aug 27, 2025



* FP8 AllGather in FP8 GroupedGEMM

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62a57dd4

26 Aug, 2025 5 commits

Add cuBLASMp-backed GEMM-like API to TE common (#1824) · 8dba2963

Vladimir Cherepanov authored Aug 26, 2025



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8dba2963

[PyTorch Debug] Skip log test on device if it does not support fp8. (#2109) · 1398fa5f
Paweł Gadziński authored Aug 26, 2025
```
fix test on old device
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1398fa5f

Bump cuDNN FE to 1.14.0 (#2072) · 54c0c857

vcherepanov-nv authored Aug 26, 2025



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54c0c857

[JAX] Add `tpsp_resource` in the `MeshResource` map (#2113) · d770886f

Phuong Nguyen authored Aug 26, 2025



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d770886f

[PyTorch] Expose more activation functions (#2106) · 07db17b5
Xin Yao authored Aug 26, 2025
```
expose more activation functions
Signed-off-by: Xin Yao <xiny@nvidia.com>
```
07db17b5

25 Aug, 2025 1 commit
- [JAX] Add Transformer Layer tests for pre_scale_bias and post_scale_bias (#2104) · 47ab4a74
  Kshitij Lakhani authored Aug 25, 2025
```
Add Transformer Layer tests for pre_scale_bias and post_scale_bias
Signed-off-by: Kshitij Lakhani <klakhani@nvidia.com>
```
  47ab4a74
20 Aug, 2025 3 commits

[JAX] Error checking for mesh resource and update GemmPrimitive to use... · bc99a88d

jberchtold-nvidia authored Aug 20, 2025


[JAX] Error checking for mesh resource and update GemmPrimitive to use global_mesh_resource().fsdp_resource (#2088)

* Enforce global MeshResource is set
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>

* Use global_mesh_resource().fsdp_resource in gemm primitive
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>

* Update tests
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>

* Update gemm.py
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>

* Update test_layer.py
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>

---------
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>

bc99a88d

[PyTorch] Add test for TRT integration + fix for mxfp8 export (#2083) · 51f19fdc

Paweł Gadziński authored Aug 20, 2025



* code drop
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* fix
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* fix
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51f19fdc

Add backward RMSNorm+Add fusion (#2028) · 5b4d89c3

Jan Bielak authored Aug 19, 2025



* Add rmsnorm_bwd_add
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Add BackwardAddRMSNorm fused operation
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Try to optimize register usage in kernels
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Add separate BackwardAdd stage for the fused backward add
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---------
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

5b4d89c3

15 Aug, 2025 2 commits

Fuse linear+scale+add (#2042) · c654e4fe

Jan Bielak authored Aug 15, 2025



* Add `nvte_cublas_gemm_scaled`
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Support use of `alpha` and `beta` in `tex.generic_gemm`
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Support use of `alpha` and `beta` in `general_gemm`
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Support use of `alpha` and `beta` in `BasicLinear._functional_forward` and `BasicLinear._functional_backward`
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* Add `ForwardLinearScaleAdd` fusion
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Add `BackwardLinearScale` fusion
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Apply suggestions from code review
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Remove calls to `validate_gemm_scale` from `BasicLinear`
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

---------
Signed-off-by: Jan Bielak <jbielak@nvidia.com>
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c654e4fe

[JAX] Trim dist fused attn tests in L1 (#2050) · 92f431bf

Kshitij Lakhani authored Aug 14, 2025



* Move some dist fused attn tests to L2
1. TestReorderCausalLoadBalancing: Run two (non symmetric) BSHD/SBHD data shape combination
2. TestDistributedSelfAttn: Run only one (smaller) BSHD type data shape combination
3. TestDistributedCrossAttn: Run only one (smaller) BSHD type data shape combination
4. TestDistributedContextParallelSelfAttn: Run all cp1 combinations
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Use pytest_parametrize_wrapper for splitting fused attn distributed JAX tests as L1 and L2
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Undo pytest -k split commands in qa scripts
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

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

for more information, see https://pre-commit.ci



* Fix usage of pytest_parametrize_wrapper in test_distributed_fused_attn
Signed-off-by: Kshitij  Janardan Lakhani <klakhani@login-preos01.a51.clusters.nvidia.com>

* Remove test code for L2 dist residing in L2 test.sh
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* Add comments for code. Swap the test data shapes in REORDER_CAUSAL_LOAD_BALANCING_DATA_SHAPES
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

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

for more information, see https://pre-commit.ci



* Add L0 to the data shape dictionaries in the distributed test
Signed-off-by: Kshitij Lakhani <klakhani@nvidia.com>

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

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* Code clean up
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

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

for more information, see https://pre-commit.ci



---------
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>
Signed-off-by: Kshitij  Janardan Lakhani <klakhani@login-preos01.a51.clusters.nvidia.com>
Signed-off-by: Kshitij Lakhani <klakhani@nvidia.com>
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92f431bf

14 Aug, 2025 3 commits

[PyTorch] Disable fused dbias-quantize kernel for unsupported recipes (#2007) · a169e9e7

Tim Moon authored Aug 13, 2025



* Unfused impl for dbias-quantize
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Unfused impl for dact-dbias-quantize
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Disable fused bgrad-quantize for unsupported recipes
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove unfused dbias-quantize impls

Not supported in the core lib.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

for more information, see https://pre-commit.ci



* Support unfused impls in tex functions
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* Tweaks
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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Remove unused imports
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

a169e9e7

[Common] Reduce CUDA driver calls (#2067) · c582f6be

Xin Yao authored Aug 14, 2025



* reduce driver calls
Signed-off-by: Xin Yao <xiny@nvidia.com>

* reduce driver calls
Signed-off-by: Xin Yao <xiny@nvidia.com>

* adjust tests to capture this
Signed-off-by: Xin Yao <xiny@nvidia.com>

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

for more information, see https://pre-commit.ci



---------
Signed-off-by: Xin Yao <xiny@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

c582f6be

fix: update grad_output quant to avoid redundant work (#1736) · 44fbe9e6

Kshiteej K authored Aug 14, 2025



* fix: update grad_output quant to avoid redundant work
Signed-off-by: kshitij12345 <kshitijkalambarkar@gmail.com>

* add test
Signed-off-by: kshitij12345 <kshitijkalambarkar@gmail.com>

* don't keep only columnwise quant if requires_dgrad=False
Signed-off-by: kshitij12345 <kshitijkalambarkar@gmail.com>

* fix stray merge
Signed-off-by: kshitij12345 <kshitijkalambarkar@gmail.com>

* fix for ctx.use_bias is True case
Signed-off-by: kshitij12345 <kshitijkalambarkar@gmail.com>

* Skip if FP8 not available
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: kshitij12345 <kshitijkalambarkar@gmail.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

44fbe9e6