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* Merged CT+dbias+dact into a single template
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Moved gated activations ifrom the cast_transpose_fused ito a sseparate cpp file
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Code clean up
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Code clean up
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Code clean up
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Code clean up
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Update transformer_engine/common/transpose/cast_transpose_fusion.cu
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com>

* Update transformer_engine/common/transpose/cast_transpose_fusion.cu
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com>

* Reverted the change with the file split
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Implemented JIT compiled kernels
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Code clean up
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Replaced aligned statically compiled kernels with JIT kernels. Added support of various activations functions for JIT kernels. Cleaned up the code per the code review
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Code clean up
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

---------
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>
Signed-off-by: Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

Make transformer_engine::getenv independent of C++ ABI version
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Remove interval arg from recipe
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Remove usage of interval and use explicit kwarg for testing recipes
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* Merged CT+dbias+dact into a single template
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Moved gated activations ifrom the cast_transpose_fused ito a sseparate cpp file
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Code clean up
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Code clean up
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Code clean up
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Code clean up
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

* Update transformer_engine/common/transpose/cast_transpose_fusion.cu
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com>

* Update transformer_engine/common/transpose/cast_transpose_fusion.cu
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com>

* Reverted the change with the file split
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>

---------
Signed-off-by: Oleg Goncharov <ogoncharov@nvidia.com>
Signed-off-by: Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* add THD support
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add seq_offsets_o and use new offset calculation
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* addition to previous commit; fix unit test
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add None for offset_o gradient
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix lint
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: test padding between sequences
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: fix tests for padding between sequences
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix tests for sbhd/bshd layouts; clean up
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update cudnn-frontend and add tests for max_seqlen_q=1 and d=256 for inference
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* test sbhd/bshd layouts for sq1, d256 inference case
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix lint
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* replace wording from accumulative to cumulative
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add offset tensors to custom fp8 mha tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add version control for cuDNN
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add sm>=90 constraint for thd support
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix cuDNN support for sq=1, d=256
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix lint and minor tweak for fp8 tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* modify cudnn version and restrict MQA/GQA support for THD
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add notes for seq offset tensors
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add dummy tensor to pass jax build
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add dummy tensor to pass paddle build
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix Jax CI
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

---------
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Signed-off-by: cyanguwa <8636796+cyanguwa@users.noreply.github.com>

allow bias support for sm80/86/89 for cuDNN 9+
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* added alignment requirements for CuBLAS heuristics
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* minor rewords
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* added unit test for gemm with unaligned inputs
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* added pytest skip if fp8 is not available
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* changed offset so that it has alignment with 128
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* use 3rdparty cudnn-frontend cmake to find cuDNN
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add check for 3rdparty/cudnn-frontend module
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* switch order of CUDA and cuDNN
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

---------
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* renamed gelu to act

* added relu, srelu, qgelu

* fixes initialization for layernorm_fp8_mlp tests

* moved activation_fp8 prim into testunit file

* Moved NVTE_Activation_Enum to common/.../activation.h

---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* templated primitives and respective C++ functions
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* fixes for LayerNormMLP, tests in test_custom_compute all passed
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* added default arg for pybind get_workspace_size funcs
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* fixes for TestTransFormer with non-gated act tests
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* renamed gelu to act
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* improved enum implementation, avoid using magic numbers
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Exposed C++ ActivationEnum to python side
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Changed error messages
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* changed conditional check on input shape for dbias_cast_transpose
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* changed dtype (tol) for bias grad tests
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* fixes so that layer_norm_fp8_mlp can take bias = None
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Set bias = None in flax modules
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Handle the scaling factor when amax is too tiny that leads to an infinite scale
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* revert formatting changes
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* fix comments
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* Apply review suggestion
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jinze Xue <155670984+jinzex@users.noreply.github.com>

* Apply review suggestion
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jinze Xue <155670984+jinzex@users.noreply.github.com>

* Apply review suggestion
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jinze Xue <155670984+jinzex@users.noreply.github.com>

* apply review suggestion
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* add test_recipe.py to qa/L0_pytorch_unittest/test.sh; fix unittest for is_first_microbatch=False
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* revert changes to update_weight_scale_inv
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

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

---------
Signed-off-by: Jinze Xue <jinzex@nvidia.com>
Signed-off-by: Jinze Xue <155670984+jinzex@users.noreply.github.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Jinze Xue <jinzex@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Tim Moon <tmoon@nvidia.com>

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

* Add module level filter for deprecation warning in common
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* Implemented swiglu and silu
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Renamed nvte-*silu to nvte-*swish + generalized GetDBiasDact functions
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* combined layernorm_geglu with layernorm_gelu into fused_layernorm
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* fixes to pass all unit tests in test_custom_call_compute.py,
test_layer.py, and test_praxis_layer.py
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* cleaning and formatting
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* renaming based on reviewers suggestions
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* implemented partial fused layernorm
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* geglu + bias passed tests
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* added partial fused calculation for dbias_1
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* clean up
Co-authored-by: Alp Dener <adener@nvidia.com>
Signed-off-by: Phuong Nguyen <36155692+phu0ngng@users.noreply.github.com>

---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>
Signed-off-by: Phuong Nguyen <36155692+phu0ngng@users.noreply.github.com>
Co-authored-by: Alp Dener <adener@nvidia.com>

* Add NVRTC kernels for cast-transpose
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Add noop flag to NVRTC cast-transpose kernel
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Apply suggestions from code review
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>

* WIP: fp8 v1 fprop integration
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: minor fixes
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add debug info
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add more debug info
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fprop working for h1; w/ debug info
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: add bprop
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* cleanup; bprop running but has mismatches
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add gitlab frontend as submodule
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* clean up and add back v0.9.2 FE support; fprop/bprop passing with 5e-2 tols
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix after merge; add bias_b/h to caching descriptor
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* distinguish fwd/bwd tensor types for bprop
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor fix for F16 cases; include added dqkv_type and d_scale_dp
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* adjust out shape for bwd in test
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add casting from/to FP8 to DPA module
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: bshd_bshd_bshd layout
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: support all sbhd/bshd layouts
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* clean up
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add qkvpacked and kvpacked support in both FusedAttnFunc and C levels
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove qkvpacked/kvpacked calls in DPA module (used for testing)
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove tp setup; add allow_non_contiguous; update FE; revert to sbh3d in tests; clean up
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add NVTE_FP8_DPA_BWD to control whether to use FP8 bwd or F16 bwd
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix MQA
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix MQA/GQA in FP8 v1 API
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update FE to 705d8e3, with API change
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* test causal mask
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* restrict mha_fill for THD format
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix fused attn with CP and comment out is_alibi code
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* clean up FE0.9 vs FE1.0 FP8 implementations, and related unit tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* change NVTE_FP8_DPA_BWD default to 1, and fix its use in qkvpacked/kvpacked APIs
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix lint and self.tp_size/group in FusedAttention()
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update FE to 6902c94
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add FP8 MHA support
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update to FE v1.3.0
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor fixes for FP8 MHA with different configs
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* emit stats regardless of is_training
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix linear when input is not Float8Tensor
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix d_out type when f16 bprop
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix user buffer for layernorm_linear/linear and revert two FP8 casts in MHA
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add docstring for fp8_dpa/mha in recipe
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

* fix backend selection to avoid FA
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* replace transpose with transpose_2d
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* use RMSE for FP8 unit tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* replace two more transpose with transpose_2d
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add FP8 initialization to FusedAttention
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

* Revert "add FP8 initialization to FusedAttention"

This reverts commit 15fffd825d6f23f31ea709b16ba01dfd61efabf8.
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Change order of ctxs
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* minor fixes
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add back docs and mark as beta
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor fixes for tests and docs
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

---------
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Fix 0 grid size
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>