Commits · d5cd815f7dec48379d834f5d1347ee4e37465bf3 · OpenDAS / TransformerEngine

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)

* test - adds unit test for cp utilities and the utilites
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* assert line change
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483d9594

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

vcherepanov-nv authored Sep 09, 2025



* Extract cpp distributed tests into a separate project
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* Remove obsolete exclusion
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* Run L1_cpp_distributed tests if at least 4 GPUs
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4903f947

03 Sep, 2025 1 commit
- Add int8 blockwise gemm test to float8 · 065160ab
  wenjh authored Sep 03, 2025
```
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  065160ab
27 Aug, 2025 1 commit

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.
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* Slightly refactor
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* Adding documents of new args.
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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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62a57dd4

26 Aug, 2025 1 commit

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

Vladimir Cherepanov authored Aug 26, 2025



* Pick up cuBLASMp during build
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8dba2963

25 Aug, 2025 1 commit
- Fix some test problem in pytorch unittest · 62550505
  wenjh authored Aug 25, 2025
  
  62550505
20 Aug, 2025 1 commit

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

Paweł Gadziński authored Aug 20, 2025



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51f19fdc

15 Aug, 2025 1 commit
- Avoid acc problem of test_gpt_*_activation_recompute · c4bb6049
  wenjh authored Aug 15, 2025
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  c4bb6049
13 Aug, 2025 2 commits

[PyTorch Debug] More advanced stats for Quantized Tensors (#1897) · 6afca29c

Paweł Gadziński authored Aug 13, 2025



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6afca29c

[JAX] Add L2_jax_distributed_unittest (#2060) · ec65ba3c

jberchtold-nvidia authored Aug 12, 2025



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ec65ba3c

08 Aug, 2025 2 commits

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

Paweł Gadziński authored Aug 08, 2025



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[DCU] add NVTE_INT8_SIM_FP8_TENSORWISE · 3eb6ea62
yuguo authored Aug 08, 2025

3eb6ea62

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

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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
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```
992ba01d

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0d802283

16 Jul, 2025 2 commits

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0a1499fa

Bump up FA to 2.8.1 (#1949) · 6c526794
vcherepanov-nv authored Jul 15, 2025
```
Signed-off-by: Vladimir Cherepanov <vcherepanov@nvidia.com>
```
6c526794

15 Jul, 2025 1 commit
- [DCU] surpport channelwise int8 train · 793e0103
  yuguo authored Jul 15, 2025
  
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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

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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



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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



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ae572af0

05 Jun, 2025 1 commit

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

Phuong Nguyen authored Jun 05, 2025



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6123d7e0

04 Jun, 2025 2 commits
- fix · 735227cd
  yuguo authored Jun 04, 2025
  
  735227cd
- [DCU] support block fp8 simu with int8 for Dense · f6937668
  yuguo authored Jun 04, 2025
  
  f6937668
23 May, 2025 1 commit

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

jberchtold-nvidia authored May 23, 2025



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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



* reduce FA versions to make CI leaner
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569c252d

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

Tim Moon authored May 13, 2025



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f966d5f7

08 May, 2025 1 commit
- [DCU] add batchgemm test · 9d0f1c9b
  yuguo authored May 08, 2025
  
  9d0f1c9b
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



* Fix L2 test_custom_call_compute.py L2 tests
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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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* Add int16 type to core (for storing fp32 param remainders)
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* same fix to scale
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* Fix perf, memory, vars
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* Re-add device guard for multi-device
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c972f5a7