Commits · 7a5859834084c8c9cc88bc1711270e0ee232e6bc · OpenDAS / TransformerEngine

10 Nov, 2025 1 commit

Move Triton to common (#2359) · 5ea83432

Teddy Do authored Nov 10, 2025



* move triton to common and change paths
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* Formatting
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5ea83432

22 Oct, 2025 1 commit

[PyTorch] Decouple python quantization classes and refactor custom quantization (#2276) · ce2e8bd1

Evgeny Tsykunov authored Oct 22, 2025



* rename experimental -> custom_recipes
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ce2e8bd1

14 Oct, 2025 1 commit

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

Kirthi Shankar Sivamani authored Oct 14, 2025



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85a91997

03 Oct, 2025 1 commit

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

Jan Bielak authored Oct 03, 2025



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dfe5b7df

01 Oct, 2025 1 commit

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

Evgeny Tsykunov authored Oct 01, 2025



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7022d50f

29 Sep, 2025 1 commit

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

Kirthi Shankar Sivamani authored Sep 29, 2025



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3f5b4754

13 Aug, 2025 1 commit

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

Paweł Gadziński authored Aug 13, 2025



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6afca29c

11 Aug, 2025 1 commit

[PyTorch] Fix high-precision dtype for MXFP8 AG (#2058) · de6afe24

Kirthi Shankar Sivamani authored Aug 11, 2025



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de6afe24

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

13 Jun, 2025 1 commit

[PyTorch] Add support for FP8 current scaling in operation-based API (#1858) · e963e4a9

Tim Moon authored Jun 12, 2025



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e963e4a9

06 Jun, 2025 1 commit

[PyTorch] FP8 Subchannel Recipe With FP8 Gather And Configurable Scaling... · 9985b02c

Zhongbo Zhu authored Jun 05, 2025


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9985b02c

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

07 May, 2025 1 commit

MXFP8 support in Userbuffers (#1711) · ce0b46c4

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ce0b46c4

03 May, 2025 1 commit

[PyTorch] Fix autocast deprecation warnings (#1277) · a9656283

Xin Yao authored May 03, 2025



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a9656283

28 Apr, 2025 1 commit

Refactor attention.py part 2 (#1704) · 8ace813c

Kshitij Lakhani authored Apr 28, 2025



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8ace813c

21 Apr, 2025 1 commit

rtx5090 arch fix support (#1659) · c7702309

Sudhakar Singh authored Apr 21, 2025



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c7702309

17 Apr, 2025 1 commit

Re Do symmetric memory merge request (#1682) · 39c0e709

wdykas authored Apr 17, 2025



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39c0e709

16 Apr, 2025 1 commit

[Pytorch] NVIDIA-DL-Framework-Inspect support – part 1 – core (#1614) · beaecf84

Paweł Gadziński authored Apr 16, 2025



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beaecf84

15 Apr, 2025 1 commit

[PyTorch] Fix for checkpointing for callables. (#1679) · aee78831

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10 Apr, 2025 1 commit

Blockwise scaling linear quantization recipe (#1559) · a8f0fe03

kwyss-nvidia authored Apr 10, 2025



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a8f0fe03

01 Apr, 2025 1 commit

[PyTorch] Debug NCCL communication overlapping in linear backward with FP8 data (#1620) · b0ad8ef0

Tim Moon authored Apr 01, 2025



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b0ad8ef0

25 Mar, 2025 1 commit

[PyTorch] Optimize MXFP8 all-gathers (#1581) · 0356010c

Tim Moon authored Mar 25, 2025



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0356010c

18 Mar, 2025 1 commit

Update full recompute feature to save recipe. (#1577) · 05f6a691

kwyss-nvidia authored Mar 17, 2025



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05f6a691

13 Mar, 2025 1 commit

Support tensors with only column-wise data (#1505) · 8a20d666

Tim Moon authored Mar 13, 2025



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8a20d666

08 Mar, 2025 1 commit

[PyTorch] Enabling Per-Tensor Current Scaling Recipe (#1471) · 77fa1e59

Zhongbo Zhu authored Mar 07, 2025



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77fa1e59

19 Feb, 2025 1 commit

[PyTorch] Fix typo (#1495) · 56c0c070

Tim Moon authored Feb 19, 2025



Fix typo
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

56c0c070

07 Feb, 2025 1 commit
- Update main branch with TE 2.0 code, update version to 2.1.0.dev0 · 544dd14b
  Przemek Tredak authored Feb 07, 2025
```
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
```
  544dd14b
02 Jan, 2025 1 commit
- Update copyright to include 2025 (#1388) · c9ea6be9
  Kirthi Shankar Sivamani authored Jan 02, 2025
```
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
```
  c9ea6be9
16 Oct, 2024 2 commits

[PyTorch] Fix FP8 activation recompute (#1254) · a5181512
Kirthi Shankar Sivamani authored Oct 16, 2024
```
Fix FP8 activation recompute
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
```
a5181512

Upgrade pylint to 3.3.1 (#1257) · 6e90fcb7

Kirthi Shankar Sivamani authored Oct 16, 2024



* Upgrade pylint and first round formatting
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* round 2
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* round 3
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Format and fixes
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* Fixes
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

6e90fcb7

04 Oct, 2024 1 commit

[PyTorch] Minor optimizations to reduce CPU overheads in modules (#1191) · 9d976bcd

Tim Moon authored Oct 03, 2024



* CPU perf optimization in linear autograd function

Avoid enable_grad context when possible in cast function. Cache distributed group properties.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* CPU perf optimization in prepare_forward function

Avoid torch.nn.Module impl of __setattr__.
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* Avoid module import in TE module forwards
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* Reuse tensor dims in linear autograd func
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* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



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9d976bcd

20 Sep, 2024 1 commit

Restore compatibility with Python 3.8 (#1189) · 0c74535e

Przemyslaw Tredak authored Sep 20, 2024



* Restore compatibility with Python 3.8
Signed-off-by: Przemyslaw Tredak <ptredak@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



---------
Signed-off-by: Przemyslaw Tredak <ptredak@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

0c74535e

09 Jul, 2024 1 commit

[PyTorch] Prototype for operation-based API (#707) · a3df1d73

Tim Moon authored Jul 09, 2024



* Add basic infrastructure for Sequential module
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add linear op
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add FP8 support in linear op

Runs, but need to validate. Runtime errors with non-FP8 params and FP8 compute, or FP8 params and non-FP8 compute.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add reshape op and unit test
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add bias op
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add unfused linear op

Test does not pass with FP8.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug unfused linear op
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* Add test for linear+bias op
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* Add separate abstract classes for unfused and fused ops
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* Consolidate unfused ops in submodule
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add linear-bias fused op
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* Use fused cast-transpose in linear ops
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Disable GEMM+bias fusion with FP32 activations

Not supported by cuBLAS.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add parallel unit test for unfused linear op
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* Refactor parallel tests to reduce job launches
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add all-reduce, all-gather, and reduce-scatter ops
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove unused file
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug multi-GPU FP8 test
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add support for FP8 scale updates

Still need to implement amax reductions.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add license boilerplate
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fuse GEMM+bias in row TP

Add documentation for unfused ops
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* Rename pipeline to fuser

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

* Tweak documentation
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* Preserve cached FP8 transpose between ops
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* Add option for fused wgrad accumulation
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* Directly output FP8 from linear if needed
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* Fix cuDNN front-end commit
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* Use updated FP8 tensor API for transpose caching
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* Use updated API for FP8 scale updates
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* Add tests for non-default FP8 recipes
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* Rename UnfusedOperation to BasicOperation
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* Add unit test to check amax reduction with fusable op
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* Operator autograd state no longer needs to be initialized
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* Initial functional implementation of linear op
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* Debug fused linear+bias op
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* Remove autograd context from functional linear impl
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* Use functional linear impl in fused linear+bias op
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* Rename subdirectory from "fuser" to "ops"

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* Update with Float8Tensor changes in #820
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* Remove unnecessary CPU overheads
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* Correctly pass FP8 metadata from next op
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* Fix linter errors
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* Add convenience functions to manipulate Sequential class
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* Update name of PyTorch extensions module
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* Clear saved tensor data in linear op after bprop
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* Fix Pylint error
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* Review suggestions from @sudhakarsingh27 and @ksivaman

Fix spelling of "fusible". Avoid "input" name in internal APIs.
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---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
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a3df1d73

14 Jun, 2024 2 commits

Apply formatting (#929) · 9416519d

Kirthi Shankar Sivamani authored Jun 13, 2024



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

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

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

9416519d

Add auto-formatter (#919) · d99142a0

Kirthi Shankar Sivamani authored Jun 13, 2024



* Initial config test
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* remove linters, fix clang-format
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* fix clang-format
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* fix clang-format
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* fix
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* fix
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* use config file
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* pre-format fixes
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* Python only
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* fixes
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* revert accidental formatting changes
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* try with sudo
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* cpp formatting
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* some review comments
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* add fp8 attn include in the correct file
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* autofix PRs
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---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

d99142a0

13 Jun, 2024 1 commit
- [PyTorch] reverting autocast API back to PyTorch v2.3.1 and below (#921) · b5a7c9f9
  Alp Dener authored Jun 12, 2024
```
reverting autocast API back to PyTorch v2.3.1 and below
Signed-off-by: Alp Dener <adener@nvidia.com>
```
  b5a7c9f9
12 Jun, 2024 2 commits

[PyTorch] Disabling TorchDynamo for TE activation checkpoint wrapper (#894) · dec3ef1d

Alp Dener authored Jun 12, 2024



added @torch._disable_dynamo fixed deprecation warnings with torch autocast API for TE checkpoint
Signed-off-by: Alp Dener <adener@nvidia.com>

dec3ef1d

[PyTorch] Fixed assert on primary Fp8 weights in `prepare_te_modules_for_fsdp()` (#916) · fe80ca06
Alp Dener authored Jun 12, 2024
```
restricted fsdp asserts on primary fp8 weights to TE modules
Signed-off-by: Alp Dener <adener@nvidia.com>
```
fe80ca06

07 Jun, 2024 1 commit

[PyTorch] Distributed intermediate/activation tensors for FSDP (#687) · 0edf30b8

Alp Dener authored Jun 07, 2024



* New TE wrapper for PyTorch FullyShardedDataParallel to make TE modules distribute their activations after the forward pass and gather them before the backward pass
Signed-off-by: Alp Dener <adener@nvidia.com>

* simplified TE module setup for FSDP comms
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* FSDP scatter/gather for tensors saved into autograd ctx now working for base TE modules
Signed-off-by: Alp Dener <adener@nvidia.com>

* make sure activation recompute disables FSDP scatter/gather
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* make sure Fp8 weight buffers are sharded at the end of the backward pass and gathered before forward
Signed-off-by: Alp Dener <adener@nvidia.com>

* Fixed typo in attribute name
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed bug in finding FSDP-wrapped TE modules
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed typo in fp8 weight tensor name
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed incorrect # of gradients
Signed-off-by: Alp Dener <adener@nvidia.com>

* Added fp8 amax gradient hook tensor to the parameter reset
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* get rid of erroneous dummy tensor leftover from incorrect rebase
Signed-off-by: Alp Dener <adener@nvidia.com>

* Linting fixes
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixing git snafu and removing debug statements
Signed-off-by: Alp Dener <adener@nvidia.com>

---------
Signed-off-by: Alp Dener <adener@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

0edf30b8

22 May, 2024 1 commit

[PyTorch] Support `torch.amp.autocast` in TE checkpoint (#791) · 7c4887b2

Alp Dener authored May 22, 2024



TE checkpoint now preserves the torch autocast context from the forward pass during the recompute phase
Signed-off-by: Alp Dener <adener@nvidia.com>

7c4887b2