Commits · ec65ba3cd65bc4dd9dab57e9bc357f02996a11ca · OpenDAS / TransformerEngine

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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* Add L1 entry for NORM_INPUT_SHAPES that was missing
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---------
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ec65ba3c

08 Aug, 2025 1 commit

[PyTorch debug] Improve precision debug tools performance (#1909) · b6b3abce

Paweł Gadziński authored Aug 08, 2025



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b6b3abce

01 Aug, 2025 2 commits

Fix JAX and PyTorch wheel builds for v2.6 (#2005) · 1f2df735

jberchtold-nvidia authored Aug 01, 2025



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1f2df735

[PyTorch Debug] Fix debug tests (#2021) · c444bf53
Paweł Gadziński authored Aug 01, 2025
```
fix
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```
c444bf53

29 Jul, 2025 1 commit

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

Kirthi Shankar Sivamani authored Jul 28, 2025



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aac74427

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



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2a293456

23 Jul, 2025 2 commits

[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

Fix the device for cuDNN/cuBLAS handles (#1974) · 4296b7d0

Charlene Yang authored Jul 23, 2025



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4296b7d0

21 Jul, 2025 1 commit

[Common] Skip cuDNN 9.10.0/9.10.1 due to bugs (#1937) · 0d802283

Charlene Yang authored Jul 21, 2025



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0d802283

16 Jul, 2025 2 commits

[Pytorch] Dynamo ONNX export support (#1497) · 0a1499fa

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0a1499fa

Bump up FA to 2.8.1 (#1949) · 6c526794
vcherepanov-nv authored Jul 15, 2025
```
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```
6c526794

10 Jul, 2025 2 commits

[PyTorch][MoE] Kernels fusions for the MoE router (#1883) · 62acae05

Autumn1998 authored Jul 11, 2025



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62acae05

[PyTorch debug] Run test_sanity with debug tools enabled. (#1908) · 1dd8f62d

Paweł Gadziński authored Jul 10, 2025



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1dd8f62d

09 Jul, 2025 1 commit

[PyTorch] Tests for loading previously-generated checkpoints (#1899) · 637faccb

Tim Moon authored Jul 09, 2025



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637faccb

25 Jun, 2025 1 commit

Fix cppunittest test.sh for editable installs (#1869) · 7db72dbc

jberchtold-nvidia authored Jun 24, 2025



* Fix cppunittest test.sh for editable installs
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7db72dbc

17 Jun, 2025 1 commit

[JAX] Fixes for L0_jax_distributed_unittest (#1884) · ae572af0

Phuong Nguyen authored Jun 17, 2025



* include previously accidentally excluded tests

* Execute run_test_multiprocessing_encoder with nested bash + exit code for inner bash shell

* Adapt run_test_multiprocessing to handle segfault
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---------
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ae572af0

05 Jun, 2025 1 commit

[JAX] Fix OTYPE for FP8 GEMM (#1838) · 6123d7e0

Phuong Nguyen authored Jun 05, 2025



* fix otype for fp8 gemm
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6123d7e0

23 May, 2025 1 commit

Fix test.sh scripts to test pure-JAX implementations (#1805) · fe9a786c

jberchtold-nvidia authored May 23, 2025



* Fix env variable name in test.sh scripts to properly test pure-JAX implementations
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* Update test scripts to use pure-JAX impl in encoder

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fe9a786c

20 May, 2025 2 commits

[Pytorch] NVIDIA-DL-Framework-Inspect support – part 4 – documentation (#1611) · 3e50d531

Paweł Gadziński authored May 20, 2025



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3e50d531

Use an empty torch tensor to indicate no fp8 information in extra_state (#1799) · 201de5f7

Peter St. John authored May 20, 2025



* Use an empty torch tensor to indicate no fp8 information in extra_state
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201de5f7

19 May, 2025 1 commit

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

Paweł Gadziński authored May 19, 2025



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2645eaec

14 May, 2025 2 commits

[PyTorch] Reduce FA versions in L3 CI (#1775) · 569c252d

Charlene Yang authored May 15, 2025



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569c252d

[PyTorch] Reduce verbosity of CI logs (#1725) · f966d5f7

Tim Moon authored May 13, 2025



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f966d5f7

07 May, 2025 1 commit

MXFP8 support in Userbuffers (#1711) · ce0b46c4

Tim Moon authored May 07, 2025



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ce0b46c4

06 May, 2025 1 commit

[JAX] Fix failing L2 JAX unit tests (#1735) · fe31af80

jberchtold-nvidia authored May 06, 2025



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fe31af80

05 May, 2025 1 commit

[C][PyTorch] Move multi tensors kernels from PyTorch extensions to core (#1744) · c972f5a7

Kirthi Shankar Sivamani authored May 05, 2025



* Move multi tensors kernels from PyTorch extensions to core
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c972f5a7

18 Apr, 2025 1 commit

[JAX] Deprecate Praxis layers (#1694) · 1a6a6d7b

Phuong Nguyen authored Apr 17, 2025



rm pax/praxis
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1a6a6d7b

17 Apr, 2025 1 commit

[QA] Add XML log generation for pytest results (#1661) · a0cabb71

linxiddd authored Apr 17, 2025



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a0cabb71

15 Apr, 2025 2 commits

[PyTorch] More precise test for the CPU offloading. (#1668) · 66d6afbf

Paweł Gadziński authored Apr 15, 2025



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66d6afbf

[JAX] Improving the test_multiprocessing_encoder.py run script (#1673) · 313ab4f4

Phuong Nguyen authored Apr 14, 2025



* script improvement

* add wait

* add return code back

* relax tols for FP8 test in test_multiprocessing_ by 0.001

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313ab4f4

12 Apr, 2025 1 commit

[QA] Extend error handling (#1660) · c638c436

linxiddd authored Apr 12, 2025



[QA] Add error handling

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c638c436

09 Apr, 2025 1 commit

[JAX] Scaling Enum Abstracting (#1655) · 962d9c53

Phuong Nguyen authored Apr 09, 2025



* scaling enum abstract

* rm NVTE_ from ScalingMode names

* rework scaling mode enum in grouped gemm

* fix norm sharding

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

962d9c53

07 Apr, 2025 1 commit

Subchannel Block quantized GEMM (#1545) · db2aaa9e

kwyss-nvidia authored Apr 07, 2025



* Add GEMM logic for blockwise quantized tensors.

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db2aaa9e

04 Apr, 2025 1 commit

Blockwise float8 quantizer and quantized tensor class (#1513) · 1bbeab1c

kwyss-nvidia authored Apr 03, 2025



* Blockwise float8 quantizer and quantized tensor class.

The classes are configurable for 128x128 blocksize
and 1x128 blocksize via setting block_scaling_dim == 2,1 respectively.

Scale tensors are stored in a format emenable for matrix multiplication,
however the integration of matmul is deferred as a separate story.

Fusions of quantization and DBIAS or activation functions are not yet
implemented, and the dequantization is currently implemented in torch.

Tests for quantization are included in C++ and pytorch layers, with
exact comparison to reference quantizer behavior as well as an attempt
to hit interesting branches through the API such as tensor creation
in pytorch and CPP and dequantization of row and columnwise usage.

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1bbeab1c

01 Apr, 2025 1 commit

[JAX] Refactor + MXFP8 + GroupedGEMM (#1627) · cf9a7c2f

Phuong Nguyen authored Mar 31, 2025



* refactor + mxfp8

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cf9a7c2f

25 Mar, 2025 1 commit

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

Charlene Yang authored Mar 26, 2025



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65c2798a

22 Mar, 2025 2 commits

[PyTorch] Enable fp8_primary_weights for current scaling (#1544) · 86813893

Kunlun Li authored Mar 22, 2025



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86813893

[PyTorch] Use consistent API for fused norm kernels (#1560) · e80fbd7e

Tim Moon authored Mar 21, 2025



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e80fbd7e

19 Mar, 2025 1 commit

Parallelize CPU reference implementation in tests 2 (#1588) · 96f9c6de

Evgeny Tsykunov authored Mar 19, 2025

Parallelize CPU reference implementation in tests
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96f9c6de

18 Mar, 2025 1 commit

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

Charlene Yang authored Mar 18, 2025



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4f33ece4