Commits · 0d874a4e7f1b73692cc6f4d7ee06542680bc15a5 · OpenDAS / TransformerEngine

02 Jan, 2026 1 commit
- Update copyright to include year 2026 (#2553) · 830ef60f
  Kirthi Shankar Sivamani authored Jan 02, 2026
```
Update copyright to include 2026
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
```
  830ef60f
26 Nov, 2025 1 commit

Paweł Gadziński authored Nov 26, 2025



* init
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* fix
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* lines lenght
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* fix
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* fix
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* fix
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* subtitle --- fix in many files:
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* cross entropy _input -> input rename
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* cross entropy _input -> input rename
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* fix
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* a lot of small fixes
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* torch_version() change
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* add missing module and fix warnings
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* fix
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* removed training whitespace:
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* Update docs/api/pytorch.rst
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* Fix import
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix more imports
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* Fix NumPy docstring parameter spacing and indentation

- Standardize parameter documentation to use 'param : type' format (space before and after colon) per NumPy style guide
- Fix inconsistent indentation in cpu_offload.py docstring
- Modified 51 Python files across transformer_engine/pytorch
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df39a7c2

23 Aug, 2025 1 commit

[PyTorch] Debug Mcore wgrad fusion with te.ops (#2097) · d88137c4

Tim Moon authored Aug 22, 2025



* Return dummy wgrad tensors when requested by Mcore
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Apply suggestions from code review
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d88137c4

14 Aug, 2025 1 commit

[PyTorch] Register weight and bias params in linear op (#2027) · ccbc8cf4

Tim Moon authored Aug 13, 2025



* Register weight/bias params in linear op
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Tweak docs
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* Make sure linear op checkpoint is backward-compatible
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* Fix linter warning
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* Check for invalid case before setting bias
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---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

ccbc8cf4

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
05 Nov, 2024 1 commit

[PyTorch] Debug checkpointing with operation-based API (#1063) · f20d3ddb

Tim Moon authored Nov 05, 2024



* Debug checkpointing with operation-based API
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

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* Store checkpoint FP8 state on CPU
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* Fix bug where linear op was saving params multiple times
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* Fix linter warnings
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---------
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

f20d3ddb

16 Oct, 2024 1 commit

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
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* round 3
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* Format and fixes
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* Paddle lint
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* Reviews
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* FIxes
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* More linting
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* Run formatter
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* Fixes
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---------
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6e90fcb7

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
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* 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
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* Add bias op
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* Add unfused linear op

Test does not pass with FP8.
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* 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
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* Add linear-bias fused op
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* Use fused cast-transpose in linear ops
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* Disable GEMM+bias fusion with FP32 activations

Not supported by cuBLAS.
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* Add parallel unit test for unfused linear op
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* Refactor parallel tests to reduce job launches
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* Add all-reduce, all-gather, and reduce-scatter ops
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* Remove unused file
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* Debug multi-GPU FP8 test
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* Add support for FP8 scale updates

Still need to implement amax reductions.
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* Add license boilerplate
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* Fuse GEMM+bias in row TP

Add documentation for unfused ops
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* Rename pipeline to fuser

Expand documentation
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* 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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* Fix test name in QA script
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* Run distributed tests even when only 1 GPU is available
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* Only run distributed tests with 2 GPUs if there are >=2 GPUs
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* Review suggestions from @sudhakarsingh27 and @ksivaman

Fix spelling of "fusible". Avoid "input" name in internal APIs.
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* Update transformer_engine/pytorch/ops/__init__.py
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a3df1d73