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Parallelize CPU reference implementation in tests
Signed-off-by: Evgeny Tsykunov <etsykunov@etsykunov-mlt.client.nvidia.com>
Co-authored-by: Evgeny Tsykunov <etsykunov@etsykunov-mlt.client.nvidia.com>
Co-authored-by: Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com>

* Delete row-wise data in single-GPU linear forward
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug Python->C++ parsing of transpose-only Float8Tensors
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug tensor shape calculation without row-wise data
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* Debug correctness issues with only column-wise data
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* Only cache column-wise input in LayerNormLinear
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Support MXFP8 all-gather with only column-wise data
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* Fix moe cases, lint, rm unused ctx
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* Fix CPU activation offloading and use consistent logic for save/restore
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* Fix tests
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* Fix typo
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* RM stray file
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* Fix distributed and cpp tests
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* Fix norm cpp tests
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* Rm stray file
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* RM stray file
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* Fix MXFP8 AG
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* Fix FP8 with sequence parallelism
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* Fix UB bulk dgrad
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* check in per-tensor current scaling full recipe
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setup basics of current scaling quantizer in python level
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add test case for current scaling dequantize
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finish linear layer fwd bwd test, determined error with bf16
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achieved zero tolerance for Linear by specify gemm use_split_accumulator config
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enable layernormlinear with current scaling, pass bitwise test
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refactor test case code
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make current scaling quantizers distrbuted, pass distributed linear&layernormlinear tests
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bug fix: use cached fp8 recipe in backward
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fix layernorm_mlp with current scaling, fix activation_helper with current scaling
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support detailed numerical settings from recipe to quantization kernel
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resolving MR comments
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recipe naming
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* resolve mr comments, remove IS_CURRENT_SCALING template from kernels
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* resolve mr comments, make current scaling c++ test cases
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* add current scaling to test_numerics.py, skip act recomp and grouped linear
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* add benchmark for quantizer
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* add benchmarks for linear layer
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* bug fix, typo
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* resolve more mr comments
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* avoid potential race condition by not using from_blob to construct amax tensor in C++
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* resolve more comments
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* Debug linter warnings and license check
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* Debug import error in FP8 tensor test
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* Debug compilation error with CUDA 12.1 for Turing
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* resolve mr comments, fix activation cast fusion
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* resolve comments, add NVTEQuantizationParams for compute scale
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* remove is_current_scaling check totally from common folder
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* remove benchmarks, will contribute in another repo
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* adjust cs default recipe config
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* adjust comments in test
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* Remove current scaling mode from core lib
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* Refactor current-scaling-specific logic in core C++ lib

Move amax and scale update functions out of casting functions, and put into dedicated current-scaling source file. Add general API for accessing quantization config object.
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* Add missing header in C++ tests
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* Disable test config with FP8 transpose on Blackwell
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* Fix compilation error in C++ test
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* cuDNN normalization integration
* TE Norm refactor
* TE Norm APIs changes.

---------
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* [TE/PyTorch][MoE] Add FP8 padding and unpadding module 

 1. Add multi-tensor padding kernel for FP8 with padding size = 16.
 2. Add FP8Padding and Fp8Unpadding module
 3. Add Padded GroupedLinear unit tests

---------
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* Perform scale-inv update in cast-transpose kernels
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* Perform scale-inv update in cast and activation kernels
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* Perform sclae-inv update in LayerNorm and RMSNorm kernels
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* Perform scale-inv update after FP8 GEMMs
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* Fuse casts and scale-inv updates in linear module
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* Fuse casts and scale-inv updates in layernorm-linear module
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* Simplify kernel to update FP8 scale-inv
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* Fix typos
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* Debug amax update in layernorm kernels
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* Debug test failures
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* Debug ONNX export

Use quantization scaling factor in ONNX quantize op.
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* Review suggestion from @ptrendx
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* Debug mismatched dtypes
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rm test_dgeglu
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* Added tests for silu/relu/swiglu/reglu
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* Fixes
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* Fix
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* Fix 2
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* Actually adding srelu and qgelu tests
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* Fix glu backward test
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* Pruning unnecessary test configurations
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* Specify python version
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* Add classifiers for python
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* make wheel scripts
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* Add aarch
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* Fixes
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* Fix paddle wheel
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* fix
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* Fixes
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* fix
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* Lint
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* Update copyright year
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* Add zero_centered_gamma option to RMSNorm
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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>

* 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>

* 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>

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

* Remove fp8_out from LN API
Signed-off-by: Przemyslaw Tredak <ptredak@nvidia.com>

* fix LN test
Signed-off-by: Przemyslaw Tredak <ptredak@nvidia.com>

* Fixes
Signed-off-by: Przemyslaw Tredak <ptredak@nvidia.com>
Signed-off-by: Przemyslaw Tredak <ptredak@nvidia.com>
Co-authored-by: ksivamani <ksivamani@nvidia.com>

Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>