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---------
Signed-off-by: Xin Yao <xiny@nvidia.com>
Signed-off-by: Xin Yao <yaox12@outlook.com>
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Przemyslaw Tredak <ptredak@nvidia.com>

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

Signed-off-by: niboshi <niboshi000@gmail.com>

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

* add long sequence support and unify three backends for fused attention
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update cudnn-frontend to v0.9.1
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* replace cpu_float2half_rn with __float2half_rn
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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

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

* make cudnn plan caches thread_local
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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

* fix replacement of cuDNN throw with NVTE_CHECK
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* force dropout probablity to 0 in inference mode
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* change negInfinity to be consistent with m512 fused attn
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove float2half conversion for scale_dropout
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add back runtime api for sm detection
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add gemm3 to enums FP8Fwd/BwdTensors
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* change dropout from no to yes for fmha_v1
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove output_rng_state in m512 kernels
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix elts_per_thread calculation in kvpacked fwd
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove dropout=0.0 restriction for m512 fused attn
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove output_rng_state completely from m512 kernels
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>

* Added ReLU and GLU variants to common
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

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

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

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

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

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

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

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

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

* Review comments
Co-authored-by: Przemyslaw Tredak <ptrendx@gmail.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@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>

* Refactor Setuptools build system

Successfully launches CMake install, but installs CMake extensions in temp dir.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug JAX build

Fix pybind11 import. Distinguish between build-time and run-time dependencies.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add helper function to determine dependencies
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Debug case where system CMake is too old
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Simplify sanity import tests

Just importing modules provides richer error messages.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Install helper library for TensorFlow
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Do not install Ninja by default
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Include Git commit hash in version string
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Override build_ext.build_extensions instead of build_ext.run
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix incorrect include path

Restore Ninja dependency. Restore overriding build_ext.run func.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Review suggestions from @nouiz
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Disable parallel Ninja jobs in GitHub actions
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Properly install userbuffers lib
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Tweak install docs

Review suggestion from @ksivaman
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add examples for specifying framework in docs
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Initial implementation of NVRTC infrastructure
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Initial NVRTC impl for transpose

NVRTC gives compilation errors at runtime. Everything else compiles and passes tests as expected.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug NVRTC transpose impl

NVRTC kernel compiles, runs, and passes tests with FP32.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use variadic template for kernel arguments in RTC kernel launch func
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Refactoring

Added utility header for CUDA Runtime API. Optimized concat_strings function.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add helper function for regex substitutions in strings
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add option to disable NVRTC support
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add support for header includes in NVRTC kernels
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Access lazily-initialized CUDA driver lib and add option to specify CUDA header dir
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Configure NVRTC transpose kernel with simple perf model
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Revert change to tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Add prime-valued test cases
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Optimize NVRTC transpose kernel for small data sizes
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Mention NVRTC in docs
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Add comment in install docs about NVRTC

Review suggestion from @nouiz
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug perf model for RTC transpose kernel
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove NVRTC discussion from docs
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Require CUDA headers unless NVRTC is explicitly disabled
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use diagonal coords in transpose kernel to avoid partition camping
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use std::call_once for thread-safety
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

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

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

* Remove diagonal coordinates from transpose kernel
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use size_t indices instead of int
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Review suggestions from @ptrendx

Check build-time CUDA include path for run-time CUDA headers. Handle case where CUDA context is initially uninitialized.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Add fused attention unit tests
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Use NVTE_* enums
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Use NVTE_Mask_Type and remove FMHADescriptor
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Move common functions to utils
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Change namespace to fused_attn
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Move fused_attn_max_512_fwd_qkvpacked under the general APIs
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add fused_attn_max_512_bwd_qkvpacked
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Move fused_attn_max_512_bwd_qkvpacked under the general APIs
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Remove redundant blank line
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Fix a potential bug for cu_seqlen converter
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Reformat fused_attn_max_512
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Refine the unfused attention warning message
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Rename to fused_attn_max_512
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Remove the deprecated header
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Fix flax import
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Rename to fused attn
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

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

* Refactor jax primitive API
* Merge q_cu_seqlen and kv_cu_seqlen
* Remove is_causal_masking
* Replace seed with rng_state
* Add is_training argument
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Remove dsoftmax from the customcall
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add None guard for bias and dropout_rng
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

* Add is_fused_attn_kernel_available() to correctly dispatch the attention impl
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Fix the merge conflict
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Adjust the code style
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add the missing blank lines
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Change the order of FADescriptor members
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Enhance the readability of fused_attn_max_512.cu
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Generalize the input dimension unpacking
Signed-off-by: Reese Wang <rewang@nvidia.com>

* 16 bits fused attention requires 8.9.1
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Update fused attention support matrix
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Handle None type when sharding
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Change to the padding ratio
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Performance optimization for non-bias cases
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Revert the cudnn-frontend PRIVATE keyword which was used for debugging
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Revert "Update fused attention support matrix"

This reverts commit 4effe67d0f08f733919a329ce5ab421958740f4a.
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Treat b * s as total_seqs to align ragged cases
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add FP16/BF16 max_seqlen <= 512 fused attention to the support matrix
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Refine test_fused_attn.py

* Replace reference code with flax.linen
* Remove unnecessary comments
* Use AttnMaskType
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Unify the cuDNN compile version
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add dropout to the support matrix
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Slightly adjust the headers
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Typo fix: remove redundant either
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Consolidating fused attention requirements
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Replace cudnn_frontend::throw_if with NVTE_CHECK for the better error line report
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Rename to fused_attn_fp16_bf16_max_seqlen_512 for the better readability
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Remove CUDNN_FRONTEND_UNUSED
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add more annotations to the custom calls
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

* 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>