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

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
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
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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>

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

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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>

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

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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>

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

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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>

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

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

* Fix compilation error in C++ test
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

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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
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

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

---------
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* Add NVRTC kernels for cast-transpose
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* Update copyright year
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* Add noop flag to NVRTC cast-transpose kernel
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* Apply suggestions from code review
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

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* Do not include logging macros in installed C headers
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Debug C++ tests

Use Google style for header includes.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update CUDA driver macros

Incorporating changes from #389.
Co-authored-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Jan Bielak <jbielak@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use core error checking macros in PyTorch extensions

Hack to get around macro redefinition warning.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix missing arg when getting CUDA driver error string
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* Reuse logging header in frameworks
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
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* Move the amax/scale/scale_inv into the TE Tensor struct.
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* Handle multi_cast_transpose
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* Changed softmax to new Tensor
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* First pass at the cpp tests
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* Round of fixes
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* Fix multi_cast_transpose
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* Fix cast_to_fp8
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