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* DGRAD_RS UB overlap Bug fixes
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* GroupedGEMM via multi-stream cublas

* fix A/B is nullptr while D is not nullptr

* add fp8 grouped gemm

* register with TorchScript

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* Add the option to use SM for P2P comm in TP overlap
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* cleanup
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* Update transformer_engine/pytorch/csrc/comm_gemm_overlap.h
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* Apply formatting
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* Apply formatting
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Cleanup
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* Calibration fix
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Don't use autograd hook for bwd reduction
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From @erhoo82 
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* Fix
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---------
Signed-off-by: Sangkug Lym <slym@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Do not store input activations when not computing weight gradients
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* fix userbuffer tp comm overlap case
Signed-off-by: Sangkug Lym <slym@nvidia.com>

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

Perform FP8 cast on gathered layernorm output in LayerNormLinear
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Enable TP-AG overlap with return_layernorm_output
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Use ub_overlap_ag
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

---------
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>
Co-authored-by: Jaemin Choi <jaeminc@nvidia.com>

* TP-RS overlap with send/recv

Atomic GEMM based TP-RS overlap with send/recv
Signed-off-by: Sangkug Lym <slym@nvidia.com>

Specify userbuffer overlap method of each overlap instance
Signed-off-by: Sangkug Lym <slym@nvidia.com>

P2P TP-RS overlap with fp8 GEMM outputs
Signed-off-by: Sangkug Lym <slym@nvidia.com>

Fix TP-RS overlap with send/recv
Signed-off-by: Sangkug Lym <slym@nvidia.com>

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

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

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

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

---------
Signed-off-by: Sangkug Lym <slym@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* add_dtype_for_userbuf
Signed-off-by: Hongbin Liu <hongbinl@nvidia.com>

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

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

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

---------
Signed-off-by: Hongbin Liu <hongbinl@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Hongbin Liu <hongbinl@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* first draft of return_layernorm_output_gathered
Signed-off-by: Chen Cui <chcui@nvidia.com>

* explain use case more thoroughly in docstring
Signed-off-by: Chen Cui <chcui@nvidia.com>

* add same option in `LayerNormMLP`
Signed-off-by: Chen Cui <chcui@nvidia.com>

* Update transformer_engine/pytorch/module/layernorm_linear.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Chen Cui <cxcui@alumni.cmu.edu>

* Update transformer_engine/pytorch/module/layernorm_linear.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Chen Cui <cxcui@alumni.cmu.edu>

* address comments
Signed-off-by: Chen Cui <chcui@nvidia.com>

* add same option in LayerNormMLP
Signed-off-by: Chen Cui <chcui@nvidia.com>

* address linter errors
Signed-off-by: Chen Cui <chcui@nvidia.com>

---------
Signed-off-by: Chen Cui <chcui@nvidia.com>
Signed-off-by: Chen Cui <cxcui@alumni.cmu.edu>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>
Co-authored-by: Jaemin Choi <jaeminc@nvidia.com>

* Avoid updating real during param cast
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

---------
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>

* Added QuickGELUActivation from HuggingFace/Transformers to common and pytorch
Signed-off-by: Alp Dener <adener@nvidia.com>

* Removing 'qgelu' from double-size activations list in LayerNormMLP.
Signed-off-by: Alp Dener <adener@nvidia.com>

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

---------
Signed-off-by: Alp Dener <adener@nvidia.com>
Co-authored-by: Przemyslaw Tredak <ptredak@nvidia.com>

* Add option to avoid updating transpose cache when possible
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

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

* Remove unused attr
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>

* Support GEMM-GELU fusion with split AG overlap
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Fix linter complaints
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jaemin Choi <minitu77@gmail.com>

* Avoid code duplication
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Fix issue with modifying tuple
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Disable GEMM-GELU fusion when split AG overlap is not enabled
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Add ub_split_ag parameter to LayerNormMLP unit test
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Move knob into LayerNormMLP, auto-disable fusion when split AG overlap is not enabled
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Revert changes to test_layernorm_mlp_accuracy
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jaemin Choi <minitu77@gmail.com>

---------
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>
Signed-off-by: Jaemin Choi <minitu77@gmail.com>
Co-authored-by: Jaemin Choi <jaeminc@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

Use cloned scale_inv for fp8 cast
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add zero_centered_gamma option to RMSNorm
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* More improvements to tests
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Tweaking the tolerances
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

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

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

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

* Tweak tolerances with bfloat16
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

---------
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* fixes for recomputation
Signed-off-by: Jimmy Zhang <jiemingz@nvidia.com>

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

* Fix onnx export [wip]
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

---------
Signed-off-by: Jimmy Zhang <jiemingz@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Jimmy Zhang <jiemingz@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>