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

* Add parallel unit test for unfused linear op
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Rename pipeline to fuser

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

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

* Preserve cached FP8 transpose between ops
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add option for fused wgrad accumulation
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Directly output FP8 from linear if needed
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix cuDNN front-end commit
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use updated FP8 tensor API for transpose caching
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use updated API for FP8 scale updates
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add tests for non-default FP8 recipes
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Rename UnfusedOperation to BasicOperation
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add unit test to check amax reduction with fusable op
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Operator autograd state no longer needs to be initialized
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Initial functional implementation of linear op
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug fused linear+bias op
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove autograd context from functional linear impl
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use functional linear impl in fused linear+bias op
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Rename subdirectory from "fuser" to "ops"

Avoid confusion with kernel fusers and graph compilers.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update with Float8Tensor changes in #820
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove unnecessary CPU overheads
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Correctly pass FP8 metadata from next op
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix linter errors
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add convenience functions to manipulate Sequential class
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update name of PyTorch extensions module
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Clear saved tensor data in linear op after bprop
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix Pylint error
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update name of PyTorch extensions module
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix test name in QA script
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update name of PyTorch extensions module
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Run distributed tests even when only 1 GPU is available
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Only run distributed tests with 2 GPUs if there are >=2 GPUs
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

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



* Review suggestions from @sudhakarsingh27 and @ksivaman

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

* Update transformer_engine/pytorch/ops/__init__.py
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

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

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

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

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

* remove linters, fix clang-format
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* fix pylint error properly
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* add fp8 attn include in the correct file
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

reverting autocast API back to PyTorch v2.3.1 and below
Signed-off-by: Alp Dener <adener@nvidia.com>

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

restricted fsdp asserts on primary fp8 weights to TE modules
Signed-off-by: Alp Dener <adener@nvidia.com>

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

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

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

* 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>

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

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

fix type checking in checkpointing to assume that there must be TE modules in custom callables
Signed-off-by: Alp Dener <adener@nvidia.com>

* changed TE checkpoint passthrough logic to also recursively look for TE submodules
Signed-off-by: Alp Dener <adener@nvidia.com>

* simplified search for TE modules in the checkpointed network
Signed-off-by: Alp Dener <adener@nvidia.com>

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

* FP8 cuda graphs
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>
Co-authored-by: Charlene Yang <charleney@nvidia.com>

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

* exclude torch compile from numerics tests
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* rm fusion from unfused path
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>
Co-authored-by: Charlene Yang <charleney@nvidia.com>

* Args can be None
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix other arg types
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Fix backward compatibility with checkpoint API
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* review comments and fix lint
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

Update checkpoint API doc
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* added non-reentrant mode support to TE checkpoint
Signed-off-by: Alp Dener <adener@nvidia.com>

* updated get_cuda_rng_tracker kwarg to get_rng_state_tracker to remain consistent with other TE API
Signed-off-by: Alp Dener <adener@nvidia.com>

* docstring cleanup
Signed-off-by: Alp Dener <adener@nvidia.com>

* added mechanism to disable bias_gelu_nvfusion in LayerNormMLP when checkpointing in non-reentrant mode
Signed-off-by: Alp Dener <adener@nvidia.com>

* refactored checkpoint and recompute hook names to match PyTorch implementation
Signed-off-by: Alp Dener <adener@nvidia.com>

* Fixed incorrect reference before assignment
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed argument error in calling native PyTorch checkpoint
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed linting errors for missing docstrings
Signed-off-by: Alp Dener <adener@nvidia.com>

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

* bias GELU fusion consistency between checkpoint test and reference comparison
Signed-off-by: Alp Dener <adener@nvidia.com>

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

* support non-tensor inputs/outputs for checkpoint
Signed-off-by: skydoorkai <htsantaclara@163.com>

* better format
Signed-off-by: skydoorkai <htsantaclara@163.com>

* modify to avoid python loops
Signed-off-by: skydoorkai <htsantaclara@163.com>

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Signed-off-by: skydoorkai <htsantaclara@163.com>