GitLab

* Add FP8 fused attention to TE for PyTorch
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* add license for cudnn-frontend, modify installation requirements, and refactor some headers for aesthetics
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* add c api docs for fused attention
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* add exception for unsupported precision/sequence length combinations
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix installation requirement for non fused attn use cases
Signed-off-by: Charlene Yang <charleney@nvidia.com>

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

* prefix enums with NVTE_ and replace old MHA_Matrix with NVTE_QKV_Matrix
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* minor fixes based on PR comments
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix description for kvpacked fwd
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix description of Bias in C api
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* minor fixes for cudnn requirement and description for QKV tensors
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix QKV layout description and support matrix for C api
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* add asserts to cpp_extensions for qkv layout/bias type/attn mask type
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix typo precision
Signed-off-by: Charlene Yang <charleney@nvidia.com>

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

* Initial refactor; linker error
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix linking issue and make mpi conditional
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix TF/JAX build
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Use max SMs at the last RS chunk in pipelined overlap
Co-authored-by: Sangkug Lym <slym@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Make userbuffers support opt-in

Decouple userbuffers from MPI. Refactor MPI handling in build system. Standardize names to "userbuffers".
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

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

* Port initial changes
Co-authored-by: Sangkug Lym <slym@nvidia.com>
Co-authored-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* readd FA include for PyTorch
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Re-enable sm_70 + cleanup
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* LICENSE, cleanup header
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* 5k -> 173 errors
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* license and fixes in userbuffers-host
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

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

* Turn off default async amax reduction (#148)
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* remove unused code path
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* cleanup Macros
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* fix conflict resolution bug
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* Fix gencode flags in setup (#145)

* Fix gencode flags based on cuda version
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* Change overlap config dict error message
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* simplify ub initialization
Signed-off-by: Sangkug Lym <slym@nvidia.com>

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

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

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

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

* fix TE macros in public header
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* compiles with and w/o MPI
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* fixes for python side annotations for conditional compile
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* link gdrAPI only when MPI found
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* load MPI before TE
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add Py side argument checks
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* remove unused code and catch silent failures
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Sangkug Lym <slym@nvidia.com>
Co-authored-by: Sangkug Lym <slym@nvidia.com>
Co-authored-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

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

* Add tests for cuda graph capture
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* add sanity test and address reviews
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Fix model load exception when state resides on GPU

- Whenever converting a torch.tensor to numpy, we need to first
migrate the tensor storage to the host CPU.

- Add a warning not to do contant-folding when exporting to ONNX.
This is due to a torch.onnx export bug.

- Refactor compare_outputs
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Onnx export: Improve remark text
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

---------
Signed-off-by: Neta Zmora <nzmora@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add zero_center_gamma/functional pass
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add zero_centered_gamma for fp8_ln_mlp
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add zero_centered_gamma to modules
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add zero_centered_gamma to TransformerLayer
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Refactored code style for improved readability and consistency
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Docs enhancement for zero_centered_gamma
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add escape for line break and remove some bad if conditions
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Revise scale_init docs
Signed-off-by: Reese Wang <rewang@nvidia.com>

---------
Signed-off-by: Reese Wang <rewang@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* made bias configurable
Signed-off-by: Naman Goyal <naman@fb.com>

* removed commented lines
Signed-off-by: Naman Goyal <naman@fb.com>

* Update transformer_engine/pytorch/jit.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: ngoyal2707 <ngoyal2707@users.noreply.github.com>

* Update transformer_engine/pytorch/jit.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: ngoyal2707 <ngoyal2707@users.noreply.github.com>

* fixed incorrect call to fused bias dropout add kernel
Signed-off-by: Naman Goyal <naman@fb.com>

* Update transformer_engine/pytorch/jit.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* Separate FC1 and FC2 use_bias args; solves all ci errors
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

---------
Signed-off-by: Naman Goyal <naman@fb.com>
Signed-off-by: ngoyal2707 <ngoyal2707@users.noreply.github.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Naman Goyal <naman@fb.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Rename enable_fp8 to is_fp8_enabled.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Adding an API to get an instance of  DelayedScaling which is set via fp8_autocast.
Signed-off-by: Ming Huang <mingh@nvidia.com>

---------
Signed-off-by: Ming Huang <mingh@nvidia.com>

* GitHub actions for linting JAX code

Pylint is disabled since JAX container is not publicly available.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* GitHub action for building JAX code

Disabled since JAX container is not publicly available.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add GitHub actions for TensorFlow and license checking
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug GitHub action for license checking
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use TensorFlow container for GitHub JAX tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* small cleanup before starting
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* conditional dgrad for Linear
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* add tests and small improvements to LNLinear and LNMLP
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Add FP8 support for Ada
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

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

* better message for no fp8
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* same thing for onnx test
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* Bugfix - compute scale_inv when loading checkpoint
Signed-off-by: Gal Hubara Agam <ghubaraagam@nvidia.com>

* Save inverse scale in extra state tensor + minor CR fixes
Signed-off-by: Gal Hubara Agam <ghubaraagam@nvidia.com>

* Fix lint
Co-authored-by: Gal Hubara Agam <ghubaraagam@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Gal Hubara Agam <ghubaraagam@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Change FP8 recipe defaults
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Increase default amax history length
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Always check history size
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* no amax history for onnx export
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* revert onnx export test changes
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix indices in onnx test
Co-authored-by: Neta Zmora <nzmora@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Neta Zmora <nzmora@nvidia.com>

Signed-off-by: Tal Cherckez <tcherckez@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Support transpose_bs when decoded=True
Signed-off-by: Ming-Xu Huang <mingh@nvidia.com>
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Fix Bugs,

1. Fix missing dropout_dims in LayerNormMLP.
2. Fix broadcast issues in decoded.
Signed-off-by: Ming-Xu Huang <mingh@nvidia.com>
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Fix wrong masks in decoded.
Signed-off-by: Ming-Xu Huang <mingh@nvidia.com>
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Fixed wrong assert condition in TransformerLayer
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Fix amax is not set as 0 in each step.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Enhance rules conflict checking and docs.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* fix code formatting.
Signed-off-by: Ming Huang <mingh@nvidia.com>

---------
Signed-off-by: Ming-Xu Huang <mingh@nvidia.com>
Signed-off-by: Ming Huang <mingh@nvidia.com>

* refactor JAX examples
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix doc-string
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add dp example
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix params_axes_pspec
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Add model parallel example and refactor
Update readme
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* align code and readme
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* update verification
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add mask
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* num_gpu is configurable
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* update readme
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* update readme
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* solvepylint issue
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* ignore markdown and txt file from license check
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update README.md
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add flax into requirements.txt
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

---------
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Add tensorflow build

Improve build instructions

Fix pybind enum usage

Fix Python_EXECUTABLE cmake var

Move scale_inv calculations to FW
Signed-off-by: Trevor Morris <tmorris@nvidia.com>
Signed-off-by: kaixih <kaixih@nvidia.com>

* Apply clang-format
Signed-off-by: Trevor Morris <tmorris@nvidia.com>
Signed-off-by: kaixih <kaixih@nvidia.com>

* Format python files
Signed-off-by: Trevor Morris <tmorris@nvidia.com>
Signed-off-by: kaixih <kaixih@nvidia.com>

* Add TF build CI
Signed-off-by: Trevor Morris <tmorris@nvidia.com>
Signed-off-by: kaixih <kaixih@nvidia.com>

* Lint checks
Signed-off-by: kaixih <kaixih@nvidia.com>

* Another round of lint checks
Signed-off-by: kaixih <kaixih@nvidia.com>

* Fix TF image tag
Signed-off-by: Trevor Morris <tmorris@nvidia.com>
Signed-off-by: kaixih <kaixih@nvidia.com>

* Use the existing recipe file
Signed-off-by: kaixih <kaixih@nvidia.com>

* Add license claim blocks
Signed-off-by: kaixih <kaixih@nvidia.com>

* Fix a bug about bias dtype conversion
Signed-off-by: kaixih <kaixih@nvidia.com>

* Add mnist example and cleanup old examples
Signed-off-by: kaixih <kaixih@nvidia.com>

* Autopep8 the tests
Signed-off-by: kaixih <kaixih@nvidia.com>

* Autopep8 the examples
Signed-off-by: kaixih <kaixih@nvidia.com>

* Add example in Readme
Signed-off-by: kaixih <kaixih@nvidia.com>

* Add unit tests and linting for TensorFlow
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add causal mask for non-fused case
Signed-off-by: kaixih <kaixih@nvidia.com>

* Fix the mismatched TF vs TE masks
Signed-off-by: kaixih <kaixih@nvidia.com>

* Addressing CI tests
Signed-off-by: kaixih <kaixih@nvidia.com>

* Run lint test
Signed-off-by: kaixih <kaixih@nvidia.com>

* Add missing import
Signed-off-by: kaixih <kaixih@nvidia.com>

* Skip fp8 tests for pre-Hopper GPUs
Signed-off-by: kaixih <kaixih@nvidia.com>

* Remove non-pytest tests
Signed-off-by: kaixih <kaixih@nvidia.com>

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

---------
Signed-off-by: Trevor Morris <tmorris@nvidia.com>
Signed-off-by: kaixih <kaixih@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: kaixih <kaixih@nvidia.com>
Co-authored-by: Tim Moon <tmoon@nvidia.com>

* Fix GELU ONNX export

* Wrap GELU export with cast to/from FP32 to achieve same compute precision as TE.
* Increase GELU export test thresholds.
* Change export to ONNX opset 17 for smaller representation of LN (single node instead of subgraph).
* Remove the need for LN work-around for ORT
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Add docstring to te_onnx_extensions.py::compute_in_fp32
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Tune threshold for GELU ONNX export

Ran 8K test instances to verify the threshold.
Allow 2 coefficients to escape threshold. Two wrong coefficients
are not a failure.
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

---------
Signed-off-by: Neta Zmora <nzmora@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Add an option to serialize test i/o to file

Small refactoring of the inferencing code.
Change the default directory where generated ONNX files are stored.
Use the temp directory to avoid clogging the file system.
Add an option to serialize test input/output tensors to a
Polygraphy RunResults object.
Signed-off-by: Neta Zmora <nzmora@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* add layernorm1p fp8 test
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* combine tests for easy maintenance
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* using torch.autocast for AMP and check grad types
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add test for wgrad accumulation fusion
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Setup numerical tests + SAR
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add test for full activation recompute
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add tests for checkpoint load/store
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* TE vs framework numerical tests
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* Add a temporary workaround to layernorm export

Seems like ORT is performing template-matching for LN and incorrectly concludes
that it doesn't have a kernel for FP32 LN. The work-around adds the addition of
fake_zero which is meant to prevent the template matching while keeping the graph
virtually unchanged. This also requires `do_constant_folding=False` in
`torch.onnx.export`.
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Adjust test threshold
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Opened an ORT bug and added the link for tracking
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Fix Python linter errors
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Simplify the LN workaround solution (ONNX export)

After discussing https://github.com/microsoft/onnxruntime/issues/15021


with Microsoft engineers, replaced the LN workaround with a simpler
implementation.

In addition:
* To make test more robust add `allow_cnt_errors` to `validate_result`
* Add more documentation to clarify the purpose and methodology of the
ONNX export tests
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Fix unused import
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* Fix unused import
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* Fix unused import
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

---------
Signed-off-by: Neta Zmora <nzmora@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* deprecate qk layer scaling and fp32 softmax args
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* apply QK layer scaling for fp16 training
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* add transformer module , unittests and examples
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update tests/jax/test_sharding.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* Update transformer_engine/jax/transformer.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* remove pylint: disable=line-too-long
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* remove pylint: disable=too-many-func-args
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Fix the wrong broadcasting dim to dropout masks when enable transpose_bs.
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Enable 2xACC for WGRAD and DGRAD by default
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* rename LayerNormMlpBlock as LayerNormMLP
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor to avoid line-too-long
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* rename amax_history_size to amax_history_len
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* align dropout mask to TE/PyTorch as default
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* enlarge atol for decoder unittests

Two decoder unittests can pass in old JAX container(e.g., 23.02)
but can't in latest container (devel).

1. The actual(-0.020264) and desired(-0.020386) are very close.
2. The TE kernels are not changed, the diff should come from
   new codegen behavior of XLA.

Thus, it is a common floating-point accumulated error.
Enlarge atol to avoid unittest failures.
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Adding Amax History Support

1. hide amax update in custom_vjp
2. replace amax indexing with roll(using circular buffer)
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* move kernel_init to __post_init__
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor encoder examples
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update transformer_engine/jax/fp8.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* Update transformer_engine/jax/fp8.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* remove envvar regarding 2xACC
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* remove unused import
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

---------
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Ming-Xu Huang <mingh@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* ignore self attention mask for causal type
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* further relax checks to run FA, update docs
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* minimum ampere requirement for fa
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* add building workflow for jax modules
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* replace bit_cast with reinterpret_cast
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add nvtx to cmake check list
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor layernorm fwd
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor rmsnorm fwd
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor layernorm_bwd
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* set pytorch as default in setup.py
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* rename extension from *.cc to *.cpp

cpplint cannot recognize *.cc file, so rename the extension
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor style, to align TE/PyTorch
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add pybinding, unittest and qa
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix license
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* disable c-extension-no-member and no-name-in-module
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add dataclass avoid pylint error
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update transformer_engine/__init__.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* Update tests/jax/test_custom_call_shape.py

fix typo
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* Update tests/jax/test_custom_call_shape.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* add building workflow for jax modules
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* replace bit_cast with reinterpret_cast
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add nvtx to cmake check list
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor layernorm fwd
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor rmsnorm fwd
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor layernorm_bwd
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* set pytorch as default in setup.py
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* rename extension from *.cc to *.cpp

cpplint cannot recognize *.cc file, so rename the extension
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor style, to align TE/PyTorch
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add pybinding, unittest and qa
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix license
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* disable c-extension-no-member and no-name-in-module
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add dataclass avoid pylint error
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update transformer_engine/__init__.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* Update tests/jax/test_custom_call_shape.py

fix typo
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* Update tests/jax/test_custom_call_shape.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* fix conflict due to PR62
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix c-extension-no-member and no-name-in-module

1. add transformer_engine_jax into extension-pkg-whitelist
2. convert pylintrc from CRLF to LF format
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update setup.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* remove pylint:disable and refactor import order
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

---------
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* move TE/PyTorch UT to tests/pytorch

1. move tests/* files to tests/pytorch/
2. adjust UT paths in qa/L0_unittest/test.sh
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* update build.yml
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

---------
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Deprecate fp32_output option for PyT linear layers

Automatically detect dtype for user-provided output tensors.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

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

* add flash attention to TransformerLayer
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* Add docs for FP8 calibration (#61)
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* Fix the integer overflow in fused softmax (#60)
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* prefix flash attn env var with NVTE_
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* Address steady memory increase and bloated checkpoints (#63)
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix env var logic
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix flash attn env var logic again
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* remove d2d copies (#64)

* remove d2d copies
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* Increase number of FP8 tensors per GEMM (#22)

* Increase number of FP8 tensors per GEMM
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Enable FP8 output tensor for fp8_gemm
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* [BERT FP8] Initial TE review comments
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Temporary fix for cuda graph non convergence
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Address review comments-2
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Review comments-3
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Cleanup
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Change for New API
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Remove unnecessary clone for D_scale, D_amax
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Avoid Roll for AMAX history size = 1
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Update onnx_te_gemm API
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Fix Lint errors
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

---------
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* Bug fixes from PR 22 (#65)

* Bug fixes from PR 22
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add FP8 tests to ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* bundle unittests for ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* replace rearrange with transpose
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* QKV parameters unfused path fixes and optimization (#66)

* Bug fixes from PR 22
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add FP8 tests to ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Better QKV parameter fusion
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* keep original param for unfused case to retain externally set attrs
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* No need to set data pointers
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Assert memory loc in NoopCat
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Handle case of different memory in param and buffer
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Reassign params memory to avoid more concats
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Fix gradients when using AMP (#70)

retain grad related attrs while casting
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix pylint violations 

fixed pyline violations such as trailing white spaces and too long lines 
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>

* fix pylint violation on line 264 with R1719
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>

* fix two more pylint violations
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>

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

* Add docs for attention
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* check for correct flash-attn version
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* lint+build fixes, correct settings for default flash-attn
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* fix onnx and disable flash-attn export test
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* cleanup internal API; rm duplication
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* only install TE wheel (exclude flash-attn to rm conflicts)
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* forgot to change install wheel path
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

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

* review comments and fixes to selective checkpointing
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Charlene Yang <charleney@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>
Co-authored-by: Charlene Yang <charleney@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* C++ implementation of LayerNorm1P
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Expose zero centered gamma to pyTorch
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix ONNX export
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix ONNX export and tests
Signed-off-by: Przemyslaw Tredak <ptredak@nvidia.com>

* Fix lint
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix backward handling - C++ part
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix for backward - Python side
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix FP8 path
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Reenable the pylint check
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix the NVTX marker
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Change in the bwd kernel
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

---------
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Przemyslaw Tredak <ptredak@nvidia.com>

* Bug fixes from PR 22
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add FP8 tests to ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* bundle unittests for ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* Add ONNX export support for TE modules (#1)

* Add TorchScript Operators
* Add symbolic methods to ONNX exporter
* Add tests for the ONNX export
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fixes for pylint tests
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix pylint warning in softmax.py
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* move FP8 ORT lib inside tests/
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* enable cross attention tests
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* refactor code by @nzmora
* Increase layernorm FP16 threshold
* Normalize onnx file names: _ separates configs; - separates words in a single config
* Add get_attn_mask_str and fix mask string
* Add missing ONNX files
* Moved generated ONNX files to tests/gen_onnx_models/
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix merge conflict changes
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix Q/DQ scale input
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* enable FP16 config when bias is disabled
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix pylint check errors
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* updates
1. remove List import for pylint failure
2. address comments: remove state tensors from GPU
3. address comments: Update reverse_map_dtype function and add to namespace
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* minor fix: coding guidelines
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* changes:
1. skip FP8 tests on  non-hopper devices
2. minor fix for C++ lint check
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix onnxruntime version
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* minor fix: add space between code and comment
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* changes
1. update copyrights
2. update path to ORT .so
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* Apply suggestions from code review
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: asfiyab-nvidia <117682710+asfiyab-nvidia@users.noreply.github.com>
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>
Signed-off-by: asfiyab-nvidia <117682710+asfiyab-nvidia@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Move scale inverse calculation to framework
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* Fix gated kernel/geglu
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add GeGLU and DGeGLU
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add DGeGLUCT
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Update copyright year
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Refine shape check
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Code refine
Signed-off-by: Reese Wang <rewang@nvidia.com>
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add rmsnorm kernels
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add rmsnorm cpp unit test
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Apply new Tensor struct
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Move scale/scale_inv/amax into the TE Tensor struct
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add document
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Separate rmsnorm kernels from the layernorm
Signed-off-by: Reese Wang <rewang@nvidia.com>

* fix indent
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Update rmsnorm test cases
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Update copyright year
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Fix the support matrix on the document
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Move register macro out of utils.cuh
Signed-off-by: Reese Wang <rewang@nvidia.com>
Signed-off-by: Reese Wang <rewang@nvidia.com>

Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Use -O2 for the test_operator
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Increase test parallelism
Signed-off-by: Reese Wang <rewang@nvidia.com>
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Move the amax/scale/scale_inv into the TE Tensor struct.
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Handle multi_cast_transpose
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Changed softmax to new Tensor
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* First pass at the cpp tests
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Round of fixes
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix multi_cast_transpose
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix cast_to_fp8
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Przemyslaw Tredak <ptrendx@gmail.com>
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Przemyslaw Tredak <ptrendx@gmail.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add kernel for multi-tensor cast-transpose
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix incorrect test function in multi-tensor cast-transpose unit test
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove std::vector from multi-tensor cast-transpose function signature

Makes sure the main header is C-compatible.
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Przemyslaw Tredak <ptredak@nvidia.com>