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* check in per-tensor current scaling full recipe
Signed-off-by: zhongboz <zhongboz@nvidia.com>

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Signed-off-by: zhongboz <zhongboz@nvidia.com>

setup basics of current scaling quantizer in python level
Signed-off-by: zhongboz <zhongboz@nvidia.com>

[pre-commit.ci] auto fixes from pre-commit.com hooks

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Signed-off-by: zhongboz <zhongboz@nvidia.com>

add test case for current scaling dequantize
Signed-off-by: zhongboz <zhongboz@nvidia.com>

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Signed-off-by: zhongboz <zhongboz@nvidia.com>

finish linear layer fwd bwd test, determined error with bf16
Signed-off-by: zhongboz <zhongboz@nvidia.com>

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achieved zero tolerance for Linear by specify gemm use_split_accumulator config
Signed-off-by: zhongboz <zhongboz@nvidia.com>

enable layernormlinear with current scaling, pass bitwise test
Signed-off-by: zhongboz <zhongboz@nvidia.com>

refactor test case code
Signed-off-by: zhongboz <zhongboz@nvidia.com>

make current scaling quantizers distrbuted, pass distributed linear&layernormlinear tests
Signed-off-by: zhongboz <zhongboz@nvidia.com>

bug fix: use cached fp8 recipe in backward
Signed-off-by: zhongboz <zhongboz@nvidia.com>

fix layernorm_mlp with current scaling, fix activation_helper with current scaling
Signed-off-by: zhongboz <zhongboz@nvidia.com>

support detailed numerical settings from recipe to quantization kernel
Signed-off-by: zhongboz <zhongboz@nvidia.com>

resolving MR comments
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recipe naming
Signed-off-by: zhongboz <zhongboz@nvidia.com>

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* resolve mr comments, remove IS_CURRENT_SCALING template from kernels
Signed-off-by: zhongboz <zhongboz@nvidia.com>

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* resolve mr comments, make current scaling c++ test cases
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* add current scaling to test_numerics.py, skip act recomp and grouped linear
Signed-off-by: zhongboz <zhongboz@nvidia.com>

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* add benchmark for quantizer
Signed-off-by: zhongboz <zhongboz@nvidia.com>

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* add benchmarks for linear layer
Signed-off-by: zhongboz <zhongboz@nvidia.com>

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* bug fix, typo
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* resolve more mr comments
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* avoid potential race condition by not using from_blob to construct amax tensor in C++
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* resolve more comments
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* Debug linter warnings and license check
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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* Debug import error in FP8 tensor test
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug compilation error with CUDA 12.1 for Turing
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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* resolve mr comments, fix activation cast fusion
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* resolve comments, add NVTEQuantizationParams for compute scale
Signed-off-by: zhongboz <zhongboz@nvidia.com>

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* remove is_current_scaling check totally from common folder
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* remove benchmarks, will contribute in another repo
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* adjust cs default recipe config
Signed-off-by: zhongboz <zhongboz@nvidia.com>

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* adjust comments in test
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* Remove current scaling mode from core lib
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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

* Debug ONNX export

Use quantization scaling factor in ONNX quantize op.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Review suggestion from @ptrendx
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* Debug mismatched dtypes
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

---------
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* Merged CT+dbias+dact into a single template
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* Moved gated activations ifrom the cast_transpose_fused ito a sseparate cpp file
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* Code clean up
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* Code clean up
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* Code clean up
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* Code clean up
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* Update transformer_engine/common/transpose/cast_transpose_fusion.cu
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* Update transformer_engine/common/transpose/cast_transpose_fusion.cu
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* Reverted the change with the file split
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* Implemented JIT compiled kernels
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* Code clean up
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* 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
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* Code clean up
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add comments
Signed-off-by: Jon Chuang <9093549+jon-chuang@users.noreply.github.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.
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* Use variadic template for kernel arguments in RTC kernel launch func
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* Refactoring

Added utility header for CUDA Runtime API. Optimized concat_strings function.
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* Add helper function for regex substitutions in strings
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* Add option to disable NVRTC support
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* Add support for header includes in NVRTC kernels
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* Access lazily-initialized CUDA driver lib and add option to specify CUDA header dir
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* Configure NVRTC transpose kernel with simple perf model
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* Revert change to tests
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* Style fixes
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* Add prime-valued test cases
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* Fix multiple definition error
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* Optimize NVRTC transpose kernel for small data sizes
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* Mention NVRTC in docs
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* Add unit tests for NVRTC and string utils
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* Add comment in install docs about NVRTC

Review suggestion from @nouiz
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* Debug perf model for RTC transpose kernel
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* Remove NVRTC discussion from docs
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* Require CUDA headers unless NVRTC is explicitly disabled
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* Use diagonal coords in transpose kernel to avoid partition camping
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* Use std::call_once for thread-safety
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* Minor fixes
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* Debug CMake error
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* Remove unnecessary call_once
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* Remove diagonal coordinates from transpose kernel
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* Use size_t indices instead of int
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* Review suggestions from @ptrendx

Check build-time CUDA include path for run-time CUDA headers. Handle case where CUDA context is initially uninitialized.
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---------
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* Add rmsnorm kernels
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* Add rmsnorm cpp unit test
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* Apply new Tensor struct
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* Move scale/scale_inv/amax into the TE Tensor struct
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* Add document
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* Separate rmsnorm kernels from the layernorm
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* fix indent
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* Update rmsnorm test cases
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* Move register macro out of utils.cuh
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