Commits · 66f9b3cbae214d521ac18883fe9a386b8893b179 · OpenDAS / TransformerEngine

08 Oct, 2025 1 commit
- [PyTorch] Unblock fused bgrad quantization path for nvfp4 (#2246) · 66f9b3cb
  Kirthi Shankar Sivamani authored Oct 07, 2025
```
Unblock path for fusing NVFP4 quantize and bgrad
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
```
  66f9b3cb
07 Oct, 2025 2 commits

`NVFP4BlockScaling` recipe docs (#2241) · 76bced54

Kirthi Shankar Sivamani authored Oct 07, 2025



* Improve docstring for NVFP4 recipe
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add NVFP4BlockScaling to recipe docs
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* Update transformer_engine/common/recipe/__init__.py
Co-authored-by: Przemyslaw Tredak <ptrendx@gmail.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Update transformer_engine/common/recipe/__init__.py
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* Update transformer_engine/common/recipe/__init__.py
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* Update transformer_engine/common/recipe/__init__.py
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76bced54

[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>

---------
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
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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

04 Oct, 2025 2 commits

Fix FP8 current scaling attention logic (#2234) · 08779fd8

Kirthi Shankar Sivamani authored Oct 03, 2025



* Fix in FP8 attention selection logic
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

---------
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08779fd8

Fix bug where CUTLASS kernel was not being compiled for SM90a (#2235) · 5be81251
Tim Moon authored Oct 03, 2025
```
Signed-off-by: Tim Moon <tmoon@nvidia.com>
```
5be81251

03 Oct, 2025 2 commits

[Common][Pytorch] Add support for the FP8 Block Scaling (ie. Deepseek) recipe on Blackwell (#2157) · dfe5b7df

Jan Bielak authored Oct 03, 2025



* Update to_string(NVTEScalingMode) to include block scaling
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* Add `nvte_swizzle_block_scaling_to_mxfp8_scaling_factors`
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* Convert FP8 block scaling tensors to MXFP8 tensors on Blackwell and newer in GEMM
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* Allow Blackwell and newer in Deepseek recipe compatbility check
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* Allow data_rows % 4 != 0 in 1d kernel
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* Load scaling factors in unswizzled order in 1d kernel
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* Enforce use of power of two scaling
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* Skip the FP8 block scaling exact GEMM test on Blackwell
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* Skip further tests with pow_2_scales=False
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* Initial implementation of tensor conversion for grouped gemm
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* Skip non power of two scaling cpp unit tests
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* Fix handling of all gather
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dfe5b7df

[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 4 commits

[PyTorch] fix int32 overflow in permute kernels (#2196) · e30c36a3

hx authored Oct 03, 2025



* fix overflow of int32 in permute kernels
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e30c36a3

[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

[PyTorch] Set usages for linear op quantizers before forward (#2222) · c1003181

Tim Moon authored Oct 01, 2025



* Make sure to set usages for linear op quantizers before forward
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Avoid unsupported case for fused dbias+quantize kernel

Hopper does not support dbias + FP8 cast without FP8 transpose.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>

c1003181

01 Oct, 2025 7 commits

Fix the cuBLAS workspace alignment (#2223) · aee5a821

Przemyslaw Tredak authored Oct 01, 2025



* Fix the cublas workspace alignment
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aee5a821

Convert `NVFP4BlockScaling` to dataclass (#2227) · 90449f79
Kirthi Shankar Sivamani authored Oct 01, 2025
```
Fix passing args to nvfp4 recipe
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
```
90449f79

Fix hang during debug build (#2221) · f0a94048

Kirthi Shankar Sivamani authored Oct 01, 2025



Disable debug build for cutlass GEMM
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

f0a94048

[PyTorch] Fix QuantizedTensorBase -> QuantizedTensorStorage (#2226) · ac886c35
Evgeny Tsykunov authored Oct 01, 2025
```
Fix QuantizedTensorBase -> QuantizedTensorStorage
Signed-off-by: Evgeny <etsykunov@nvidia.com>
```
ac886c35

[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

[JAX] Rework amax reduction over TPSP (#2218) · ac4e0fd6

Phuong Nguyen authored Oct 01, 2025



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

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

ac4e0fd6

[PyTorch] Quantizer as API (#2039) · 7022d50f

Evgeny Tsykunov authored Oct 01, 2025



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* Make Quantizer a base class without implementations
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* Resolving comments: quantize impl, num_quantizers, defaults
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* Experimental note + LayerNormMLP fix
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7022d50f

30 Sep, 2025 4 commits

[JAX] Load modules during initialize for Norm and Act primitives (#2219) · ce18bee7

jberchtold-nvidia authored Sep 30, 2025



Load modules during initialize
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ce18bee7

[Pytorch] Support for Swiglu Activation used in GPT OSS (#2161) · 7fa0f554

vthumbe1503 authored Sep 30, 2025



* Test working as I think it should work
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revert accidental change
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Restrict the number of cases for unfused quantization, some fp8->fp8 cases are handled by cublas
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Add cuBLASMp-backed GEMM-like API to TE common (#1824)

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

* FP8 AllGather in FP8 GroupedGEMM

1. Support current scaling FP8 quantation with a given amax.
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[JAX] Delay MeshResource validation until first usage (#2124)

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7fa0f554

[PyTorch] Add FP8 attention with current scaling (#2012) · 25252e9f

Charlene Yang authored Sep 30, 2025



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25252e9f

Fix the segfault in the nvfp4 quantization (#2214) · 2354fb8b

Przemyslaw Tredak authored Sep 30, 2025



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2354fb8b

29 Sep, 2025 1 commit

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

Kirthi Shankar Sivamani authored Sep 29, 2025



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3f5b4754

27 Sep, 2025 1 commit

[JAX] CollectiveGemm (#2166) · d75bf43f

Phuong Nguyen authored Sep 27, 2025



* init cgemm + unit tests

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d75bf43f

23 Sep, 2025 2 commits

[JAX] Restore Shardy Rule with CompoundFactor (#2167) · 3f875fb5

Phuong Nguyen authored Sep 23, 2025



* Rework shardy rules

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3f875fb5

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

Ming-Xu Huang authored Sep 23, 2025



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a92a0ad2

22 Sep, 2025 2 commits

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

Charlene Yang authored Sep 22, 2025



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5e4e0b2c

[JAX] Remove import jax.extend.ffi (#2193) · 57b4d7bc

Phuong Nguyen authored Sep 22, 2025



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57b4d7bc

18 Sep, 2025 3 commits

Fix cuDNN version checks when getting backend and for sm89 kv cache (#2185) · 7f77127c

Kshitij Lakhani authored Sep 18, 2025



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7f77127c

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

zhujian authored Sep 18, 2025



feature(FA3,MLA,CP):
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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 4 commits

Fix incorrect TP rank calculation when using data parallel (#2179) · eb69fad7
Daniel Stokes authored Sep 18, 2025
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eb69fad7

Fix memory overhead of linear layer when all gather from sequence parallel (#2125) · 93a67af8

yuzhongw-nvidia authored Sep 17, 2025



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93a67af8

TE Gemma tutorial attempt#2 (#1839) · 7042d7ae

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7042d7ae

FP8 Output Quantization for GEMM (#2123) · ba37529c

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ba37529c

16 Sep, 2025 2 commits

Fix unjoined comm stream in UB communicator (#2160) · c221909d
Daniel Stokes authored Sep 17, 2025
```
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```
c221909d

Do not use normalization forward + amax fusion if cuDNN backend is requested (#2174) · 258d0842

Jan Bielak authored Sep 16, 2025



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258d0842

15 Sep, 2025 2 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