Commits · 46c6ef31bd1216b88cad7d27394ca04c439e8e1a · OpenDAS / TransformerEngine

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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* formatting
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* fix pylint
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* fix test to compare to the correct reference impl. relax 1 tol for grad compare, fix lint the rightway
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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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* format
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* merge with_probs to without_probs
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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 comments in primitive registration process
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* Undoing incorrect rebase/merge leftovers
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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 new set of helper functions for seqlens and seqoffsets fo AG+THD+CP+Stripe>1 which accounts for batching and seq offsets size b+1
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* Add backward primitive for CP+THD+AG+Striped>1
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* Modify tests for backward primitive for CP+THD+AG+Striped>1
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* Move stripe_height along with other static args in fused_attn_bwd rule. Fix typo in CP+AG+TH+Striped>1 primitive
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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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* Remove assert preventing SWA code path in CP+AG+Striped primitive
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* Clean up test code
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Clean up debug statements
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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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fd0cd12e

02 Dec, 2025 1 commit

[JAX] Triton binding (#2437) · f1512b21

Phuong Nguyen authored Dec 02, 2025



* init triton binding with test case/example

* added Triton as TE-JAX test dependency

* grid with blocksize from autotune
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---------
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f1512b21

26 Nov, 2025 1 commit

Docs fix (#2301) · df39a7c2

Paweł Gadziński authored Nov 26, 2025



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df39a7c2

25 Nov, 2025 1 commit

[JAX] Allow DP + FSDP and fixed sr_rng_state partitioning (#2418) · 66ae3030

Phuong Nguyen authored Nov 25, 2025



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66ae3030

21 Nov, 2025 2 commits

[JAX] Remove unnecessary SWA calculation in _segment_ids_pos_to_seqlens_offsets() (#2201) · 4654b70a

Kshitij Lakhani authored Nov 21, 2025



* Remove unnecessary SWA calculation from _segment_ids_pos_to_seqlens_offsets
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4654b70a

[JAX] Set BSHD as default in Unfused DPA, DPA and MHA API calls (#2392) · beed55b9

Kshitij Lakhani authored Nov 21, 2025



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beed55b9

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 3 commits

[JAX] Use TE quant if TE fused act is disabled (#2374) · 389a6ba4

jberchtold-nvidia authored Nov 14, 2025



* Use TE quant if TE fused act is disabled
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* Keep existing precision
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389a6ba4

[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

[JAX] Make all jax attention calls use non-packed common calls (#2358) · b88f727b

Paweł Gadziński authored Nov 14, 2025



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b88f727b

13 Nov, 2025 3 commits

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

jberchtold-nvidia authored Nov 13, 2025



* Support for checkpointing quantizations
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67d63d02

[JAX] Shardy rule + QuantizeLayout Rework (#2364) · 9440b76a

Phuong Nguyen authored Nov 13, 2025



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9440b76a

[JAX] NVFP4 scale swizzling via nvte kernel (#2350) · ef28c865

Phuong Nguyen authored Nov 13, 2025



* swizzle via nvte
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---------
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ef28c865

10 Nov, 2025 1 commit

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

Teddy Do authored Nov 10, 2025



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7a585983

07 Nov, 2025 3 commits

[JAX] Default to fused attention in JAX DPA (#2363) · 5978f1d7

Kshitij Lakhani authored Nov 07, 2025



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5978f1d7

Disable cuDNN attention for known IMA and NaNs (#2344) · 26aad6b0

Kirthi Shankar Sivamani authored Nov 07, 2025



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26aad6b0

Fix sharding of segment position to match id in ring attention. (#2349) · f62cad90
Michael Goldfarb authored Nov 06, 2025

f62cad90

05 Nov, 2025 1 commit

[JAX] Fix bug with pre scale bias (#2300) · b6020e3b

Paweł Gadziński authored Nov 05, 2025



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b6020e3b

31 Oct, 2025 1 commit

[JAX] Fix mesh resource requirement when no mesh (#2307) · 006670de

jberchtold-nvidia authored Oct 31, 2025



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006670de

30 Oct, 2025 1 commit

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

Kshitij Lakhani authored Oct 30, 2025



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5e8a9a96

28 Oct, 2025 1 commit

[JAX] Use TE quantization when TE fused norm is disable (#2303) · a8e4346e

Phuong Nguyen authored Oct 28, 2025



* jax norm + te quant
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a8e4346e

25 Oct, 2025 1 commit

[PyTorch] Add max_logit support for MuonClip (#2195) · 87cb26c6

Charlene Yang authored Oct 24, 2025



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87cb26c6

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



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e2f2a0b4

22 Oct, 2025 2 commits

[JAX] Defer TE/JAX cublas shape check on fp8 gemms until lowering (#2292) · 2ac3c168
jberchtold-nvidia authored Oct 22, 2025
```
Defer cublas check on fp8 gemms until lowering
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>
```
2ac3c168

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

jberchtold-nvidia authored Oct 22, 2025



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818b30cc

18 Oct, 2025 1 commit

Wheels for cuda 13 (#2278) · fd234d80

Kirthi Shankar Sivamani authored Oct 18, 2025



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fd234d80

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



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ca6fedcf

13 Oct, 2025 2 commits

[JAX] Add assertion message to amax -> scale computation (#2263) · 76e1af33
jberchtold-nvidia authored Oct 13, 2025
```
assertion check
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>
```
76e1af33

[Common][JAX] Improve error message for cublas fp8 gemm with incorrect shape (#2261) · 8c364b4d

jberchtold-nvidia authored Oct 13, 2025



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8c364b4d

09 Oct, 2025 2 commits

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

jberchtold-nvidia authored Oct 09, 2025


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8a7ab3dd

Update minimum python version to 3.10 and add checks in CI (#2247) · e99be1b6

Kirthi Shankar Sivamani authored Oct 09, 2025



* Update minimum python version to 3.10 and update CI
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

e99be1b6

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>

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

af2a0c16

07 Oct, 2025 1 commit

[JAX] Activation/Normalization to output amax for later quantization in CurrentScaling (#2238) · 127b6d3a

Phuong Nguyen authored Oct 07, 2025



* reuse amax for current scaling
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

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

127b6d3a

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

* norm to reduce dgamma along tpsp as well
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

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

* fix test_distributed_layernorm byte counts
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* increase tols for jax_gemm
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

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

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

02 Oct, 2025 2 commits

[JAX] Fix shard map issue when `get_all_mesh_axes()` is used (#2229) · be7f43f1

jberchtold-nvidia authored Oct 02, 2025



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

be7f43f1

[JAX] Fix code block in fp8_autocast docstring (#2228) · f936c2ac

jberchtold-nvidia authored Oct 02, 2025



Fix code block in fp8_autocast docstring
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>
Co-authored-by: Phuong Nguyen <phuonguyen@nvidia.com>

f936c2ac

01 Oct, 2025 1 commit

[JAX] Fix `rng_state` shape in fused attention (#2217) · b0d562d8

Phuong Nguyen authored Oct 01, 2025



fix rng_state shape
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>
Co-authored-by: jberchtold-nvidia <158520091+jberchtold-nvidia@users.noreply.github.com>

b0d562d8