Commits · 5ba01faadb6c05b2d9aed1e5e96b976afa65af4a · OpenDAS / TransformerEngine

27 Dec, 2025 1 commit

[PyTorch] Fuse permute+pad and unpermute+unpad ops for FP8 optimization (#1921) · 5ba01faa

xiaoxi-wangfj authored Dec 27, 2025



* [PyTorch] Fuse permute+pad and unpermute+unpad ops for FP8 optimization

1.Fused `moe_permute_with_probs` + `Fp8Padding` and fused `moe_unpermute` + `Fp8Unpadding`,
  that can remove the explicit padding/unpadding of moe expert, improved performance and reduced peak gpu memory usage.
2.Add tests of fused permute/pad and unpermute/unpad.
Signed-off-by: xiaoxi-wangfj <690912414@qq.com>

* [PyTorch/Common] Fuse permute+pad and unpermute+unpad support with_merging_probs
Signed-off-by: xiaoxi-wangfj <690912414@qq.com>

* [PyTorch]format code
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* [Common]perf expert_idx loaded once
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* fix: pad_offsets can be None
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Signed-off-by: xiaoxi-wangfj <690912414@qq.com>

* add padding + merging probs bwd support. Not tested
Signed-off-by: tdophung <tdophung@nvidia.com>

* Fix garbage initialized act grad
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* all test passing for jax permutation + pad
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* change tokens_per_experts APIs to num_out_tokens with conservative allocation of worst case padding for output buffer
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* change test permutation to reduce test time
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* triggering PR refresh
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* format code
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* Remove some tests cases from pytorch side. Add a separate toekn_dispatch test for sanity in case combine accidentally undo an error on dispatch in the roundtrip test. Add distinction between L0 and L2 in test cases in jax
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* format code
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* remove chance for inefficiency in moving between CPU and GPU, remove redundant primitive using a new static bool for padding, add assert for align size
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* fix lint in jax
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* account for both jax newer and older than version 0.8.2. Adjusted gpu triton binding accordingly
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* format code
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* fix typo
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5ba01faa

09 Dec, 2025 1 commit

Jax primitives for permutation on single GPU (#2473) · 46c6ef31

Teddy Do authored Dec 09, 2025



* branch off of initial permutation jax-triton PR
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* Set 0 as the size of dummy tensors to reduce memory usage.
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* Correct setting of permuted_probs_stride_token, unpermuted_probs_stride_token and unpermuted_probs_stride_expert in unpermutation
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* Implement primitives, wrapper, test for wrapper, edit trit
on binding to accomodate scalars
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* Change implemementation of VJP functions to match correct pattern. Deduce some static scalar args from shapes of inputs. Accept B, S instead of num_tokens. Change test to use value_and_grad to test vjp funcs properly
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* fix pylint
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* fix test_permutation to use value_and_grad for reference impl, tighten tols, and add unpermute with probs for token combine bwd rule
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* added forgotten file in prev commit
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46c6ef31

06 Dec, 2025 1 commit

[JAX] Add CP + THD + AG + Striped>1 + SWA support (#2379) · fd0cd12e

Kshitij Lakhani authored Dec 05, 2025



* Add generic stripe_height support for load balancing
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* Fix imports in test for deprecated jax.experimental.pjit
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* Add test case for stripe_height greater than 1. Add stripe_height arg to reordering methods
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* Add Striped 1 and 4 test cases. Refactor the Load Balancing test case. Fix the incorrect shape in striping inverser reordering
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* Modify test code for CP + AG + THD + stripe height greater than 1
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* Add stripe_height arg to fused attn and fused attn fwd API. Add appropriate mask checks for AG+THD+CP and pick BRCM to be executed per rank. Add Fused Attn Primitive for CP + THD +AG + Striping. Add a method to reorder and all gather segment ids and offsets for kv
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* Add support for calculating q and kv seqlens and offsets per rank for CP+THD+AG+SW+Striped>1 primitive
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* Augment jax primitive register code comments
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* Fix the array sizes and padding values returned for seqlens and offsets to fit what the fused attn primitive non cp computation
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* Add support in new primitive for softmax_offset related changes. Put in missing primitive registering line in again. Increase the seqoffsets arrays lengths by 1
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* Add backward primitive for CP+THD+AG+Striped>1
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* Code clean up: remove older version for calculating seqlens and offsets for CP+AG+THD+striped>1 primitive
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* Add test for CP+THD+AG+Striped>1
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* Fix missing var
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* Add SWA tests for AG+Striped>1+CP+THD+SWA
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* Restoring test code
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* Rename stripe_height to stripe_size
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* Code clean up and add additional comments
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nit: Apply suggestions from code review
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Fix type on fused attn tests
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* Fix seqoffsets length to be passed onto FusedAttn primitive as it is b and not b+1 needed by cuDNN
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* Skip THD test cases for CP + AG + Dual chunk. Skip BSHD cases for CP + AG + Striped>1. Correct the layout and shapr parameters passed to the tests
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* Pass stripe_size explicitly for ring attn tests for THD cases
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* Remove TODO
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* nit: Correct the ID for the test dist fused attn tests to account for cp*2 which is done under the hood
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* Set num_segments_per_seq defaults to None instead of 0
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* Augment comments. Add ValueError for stripe_size=0
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* Test only 1 num_segments_per_seq combination for CP+AG+THD+Striped>1+SWA instead of 2. Modify the num segments and window size to easily to debug values
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* Explicitly pass zero sized arrays for seg ids and pos in the CP + AG + Striped primitive rather than using the seqlens or the offsets as placeholders
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* Add a deep dive doc for CP+THD+AG+Stripe>1+SWA regarding design considerations and decisions
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* Put docs and pngs into it's separate dir
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fd0cd12e

02 Dec, 2025 2 commits

[JAX] Make test_layer.py tolerances stricter (#2306) · cc42a577

jberchtold-nvidia authored Dec 02, 2025



* wip
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* wip
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* revert change to utils.py
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cc42a577

[JAX] Triton binding (#2437) · f1512b21

Phuong Nguyen authored Dec 02, 2025



* init triton binding with test case/example

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* grid with blocksize from autotune
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f1512b21

18 Nov, 2025 1 commit

[JAX] Add support for sink attention in JAX (#2225) · 15cefbc5

Paweł Gadziński authored Nov 18, 2025



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15cefbc5

14 Nov, 2025 1 commit

[JAX] Improve support and testing for direct recipe usage without autocast contexts (#2366) · a0754757

jberchtold-nvidia authored Nov 14, 2025



* Refactor to avoid storing a global quantization config so direct recipe passing works as intended
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a0754757

13 Nov, 2025 1 commit

[JAX] Support for checkpointing quantizations (#2356) · 67d63d02

jberchtold-nvidia authored Nov 13, 2025



* Support for checkpointing quantizations
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67d63d02

10 Nov, 2025 1 commit

[JAX] Fused layers argument default values changed (#2347) · 7a585983

Teddy Do authored Nov 10, 2025



* Changing default activations in MLP, TransformerLayer, dropout rate after FC1 to 0, and return_layernorm_output to False
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7a585983

07 Nov, 2025 1 commit

[JAX] Add test to check jaxpr that amax is reused for nvfp4 recipe (#2348) · 4ff3eed1

jberchtold-nvidia authored Nov 06, 2025



* Add test to check jaxpr that amax is reused for nvfp4 recipe
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4ff3eed1

03 Nov, 2025 1 commit

[JAX] L1_jax_distributed_test suit with individual executions (#2321) · c57ffc51

Phuong Nguyen authored Nov 03, 2025



* L1 rework
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* comment out test_multi_process_grouped_gemm for now
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* rm e5m2 from test norm + MXFP8
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---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

c57ffc51

30 Oct, 2025 1 commit

[JAX] Fix: Skip determinism tests for bprop for all sm >=100 (#2315) · 5e8a9a96

Kshitij Lakhani authored Oct 30, 2025



* Fix: Skip determinism tests for bprop for all sm >=100
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* Add username to TODO
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5e8a9a96

23 Oct, 2025 1 commit

[JAX] Make SR rng state always 2D (num_devices, 4) to fix partitioning issue (#2294) · e2f2a0b4

jberchtold-nvidia authored Oct 23, 2025



* Make SR rng state always 2D (num_devices, 4)
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* fix pure-jax impl
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---------
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e2f2a0b4

22 Oct, 2025 1 commit

[JAX] NVFP4 recipe with option to enable/disable SR, RHT, and 2D quantization (#2270) · 818b30cc

jberchtold-nvidia authored Oct 22, 2025



* [JAX] Support recipe flags for disabling SR, RHT, and 2D quantization
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* lint
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---------
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818b30cc

17 Oct, 2025 1 commit

[JAX] Fix imports in test for deprecated jax.experimental.pjit (#2274) · 9dd61922

Kshitij Lakhani authored Oct 16, 2025



* Fix imports in test for deprecated jax.experimental.pjit
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9dd61922

14 Oct, 2025 2 commits

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

Kirthi Shankar Sivamani authored Oct 14, 2025



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85a91997

[JAX] Add BRCM support for THD (#2242) · ca6fedcf

Kshitij Lakhani authored Oct 14, 2025



* Add BRCM support when creating a test mask for fused attn
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* Add support for BRCM to correctly generate the mask needed for calculating the seqlens and offsets for THD
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* Skip drop=0 and no_bias case for BRCM as cuDNN does not suport this
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* Refactor the segment id run length code for BRCM seqoffset and seqlens calculations
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* Fix the drop inequality skip condition in fused attn
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* nit: Adjust the BRCM id name in the test to make it consistent
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* Fix the brcm mask condition.
Fix the condition for cross atnn type pattern to only apply for brcm
Change the num segments per sequence to 3 instead of 2
Reduce one test pattern data size and make it such that it triggers brcm
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ca6fedcf

09 Oct, 2025 1 commit

[JAX] NVFP4 support in TE/JAX (#2254) · 8a7ab3dd

jberchtold-nvidia authored Oct 09, 2025


Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>
Co-authored-by: Phuong Nguyen <phuonguyen@nvidia.com>

8a7ab3dd

08 Oct, 2025 1 commit

[JAX] Async issuing D2H memcpy for grouped_gemm group_sizes array (#2213) · af2a0c16

Hua Huang authored Oct 08, 2025



* Try async copy of grouped GEMM group_sizes data
Signed-off-by: Hua Huang <huah@nvidia.com>

---------
Signed-off-by: Hua Huang <huah@nvidia.com>
Co-authored-by: Phuong Nguyen <phuonguyen@nvidia.com>

af2a0c16

06 Oct, 2025 1 commit

[JAX] Fix for GEMM + fuse bias + AllReduce (#2230) · 0db0f4d2

Phuong Nguyen authored Oct 06, 2025



* not fuse bias for output all reduction case + unit tests
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* norm to reduce dgamma along tpsp as well
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* clean up tests
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* fix test_distributed_layernorm byte counts
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* increase tols for jax_gemm
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---------
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0db0f4d2

03 Oct, 2025 1 commit

[JAX] Clamped Swiglu Integration (#2194) · b840898b

vthumbe1503 authored Oct 03, 2025


Signed-off-by: Varun Thumbe <vthumbe@nvidia.com>
*Jax integration for clamped swiglu. This is the continuation of PR which added Clamped Swiglu(used in GPT OSS) support in TE along with Pytorch integration. This PR hooks up the clamped swiglu and dswiglu's nvte APIs to TE Jax.

b840898b

29 Sep, 2025 1 commit
- [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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---------
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a92a0ad2

15 Sep, 2025 1 commit

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

Ming-Xu Huang authored Sep 15, 2025



* Applying the original precision as Norm outputs' and activation compuations.
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* Adding knob to control norm output precision.
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* Removing the knob and applying lower-precision norm with current-scaling only.
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* Fix the error when quantizer==None
Signed-off-by: Ming Huang <mingh@nvidia.com>

---------
Signed-off-by: Ming Huang <mingh@nvidia.com>

cd2034f3

08 Sep, 2025 1 commit

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

Ming-Xu Huang authored Sep 08, 2025



* Fixing few issues with multi-process launching.
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aa06107c

05 Sep, 2025 1 commit

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

jberchtold-nvidia authored Sep 05, 2025



* Custom call tests passing
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* Fix test_layer.py
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* Lint
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* Fix comments
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* Support using amax on HighPrecision tensor if it exists instead of recomputing for current scaling
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* Fix shardy issue with amax being shape 1,1,1 instead of shape (1,)
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* Add higher-precision VJP tests to test_distributed_layernorm_mlp
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* Cast non-quantized kernels to input dtype in VJPs
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* Fix tests
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---------
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c47f329b

03 Sep, 2025 1 commit

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

Kshitij Lakhani authored Sep 03, 2025



* Fix failing tests for dropout=0.1 and bias for fused attn for blackwell
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f378eaf2

27 Aug, 2025 2 commits

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

jberchtold-nvidia authored Aug 27, 2025



* Decouple recipe and scaling mode
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* Expose global QuantizeConfig instance as a getter
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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

1. Support current scaling FP8 quantation with a given amax.
2. Support FP8 AG in fwd and BF16 RS in bwd.
3. The workflow is AR-max -> FP8 Quant -> FP8 AG -> FP8 GroupedGEMM.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Slightly refactor
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* Adding documents of new args.
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* Adding unit-tests.
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* Adding license.
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* Move unit-tests to L1.
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* Move quantizaer store/reset into FP8 only.
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* Adding all layout support for Blackwell+
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* Adopt the feedback from code-review.
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* Fixed the wrong stream used by d2d in groupedGEMM FFI.
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---------
Signed-off-by: Ming Huang <mingh@nvidia.com>
Co-authored-by: Phuong Nguyen <phuonguyen@nvidia.com>

62a57dd4

26 Aug, 2025 1 commit

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

Phuong Nguyen authored Aug 26, 2025



* clean up sharding
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* added tpsp_resource
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* update tests
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* rework test for MeshResource
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* add mesh_resource into fp8_autocast in test_helper.py
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---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

d770886f

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 1 commit

[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
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* Update tests
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* Update gemm.py
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* Update test_layer.py
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---------
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bc99a88d

15 Aug, 2025 1 commit

[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
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92f431bf

13 Aug, 2025 1 commit

[JAX] Add L2_jax_distributed_unittest (#2060) · ec65ba3c

jberchtold-nvidia authored Aug 12, 2025



* Add L2_jax_distributed_unittest
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ec65ba3c

08 Aug, 2025 1 commit

[JAX] Remove cudaGraph compatible trait from GroupedGemmFFI and GroupedQuantizeFFI (#2048) · 9f9b4816

Phuong Nguyen authored Aug 08, 2025



* rm cudaGraph compatible trait from GroupedGEMM and groupedQuantize
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9f9b4816

07 Aug, 2025 1 commit

[JAX] TE Gemm custom call clean up (#2030) · cae1c436

Phuong Nguyen authored Aug 07, 2025



* rm batch_dim, sequence_dim, sequence_parallel_output
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cae1c436

06 Aug, 2025 1 commit

[JAX] Reduce L1 tests/jax/test_distributed_softmax.py test runtime (#2031) · 6d178b4e

jberchtold-nvidia authored Aug 06, 2025



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6d178b4e

24 Jul, 2025 1 commit

[JAX] Helper to disable TE custom calls + disable GemmPrimitive for non-MXFP8 recipes. (#1962) · 2a293456

Phuong Nguyen authored Jul 23, 2025



* add manage_primitives() helper

* disable GEMM primitives for non-MXFP8 recipes

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2a293456

23 Jul, 2025 1 commit
- [JAX] Fix current scaling test_helper.py and enable test_helper.py in L0 (#1990) · 992ba01d
  jberchtold-nvidia authored Jul 23, 2025
```
Fix current scaling test_helper.py and enable test_helper.py in L0
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>
```
  992ba01d
22 Jul, 2025 1 commit

[Common] Improved performance of mxfp8 cast kernels (#1628) · cb504cda

Oleg Goncharov authored Jul 22, 2025



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cb504cda