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[PyTorch] Fix numeric overflow caused by int-type parameters and return value in the roundup function (#2034)
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[PyTorch] fix input_quantizer usage for save_original_input; fix blockwise FP8 convert_and_update_tensor (#1978)

* fix input_quantizer in save_original_input bwd
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* fix get shape of blockwise tensor with only compact colwise data
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* fix blockwise FP8 convert_and_update_tensor
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* for loop
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* bulk alloc
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* multi-tensor swizzle
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* fix empty tensor list
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* Add basic kernel for swapping first two tensor dims
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* Make sure writes are contiguous
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* Compute amax in normalization kernels as long as the pointer is provided, even if using non quantized output
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* Fuse amax computation into normalization forward
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Refactor normalization.cpp to use quantizer logic introduced in #1952 instead of manual quantization
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* Compute amax in activation kernels when the output pointer is provided, even for non-fp8 outputs
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* Fuse computation of amax into the activation kernel for fp8 current scaling
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* Zero out amax in `create_hp_tensor_with_amax` instead of relying on `Float8CurrentScalingQuantizer.__init__` to zero-initialize it
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* Fix bug when constructing FP8 tensor
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* Add quantize function to C++ quantizers
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* Prototype function to coerce Python quantized tensors to match quantizer
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* Make sure CUDA context is available when launching NVRTC kernel
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* save original input
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* fix input_quantizer usage in Linear bwd
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* minor fix
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* decouple linear bwd with save_original_input; clean up UTs
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* [PyTorch|common] Implement unpadding kernel for FP8

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[PyTorch] FP8 Subchannel Recipe With FP8 Gather And Configurable Scaling Factor Tensor Swizzling (#1707)

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* move swizzle scaling factor to cpp
Signed-off-by: Xin Yao <xiny@nvidia.com>

* resolve comments
Signed-off-by: Xin Yao <xiny@nvidia.com>

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

for more information, see https://pre-commit.ci



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Signed-off-by: Xin Yao <xiny@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* Allow NVTEShape to own data.
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* Convert repeated copy paths to nvte_make_shape calls.
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* Apply suggestions from code review
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* Build fixes.
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* MR feedback.
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Signed-off-by: Keith Wyss <kwyss@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* Enable MXFP8 and Per-Tensor Current Scaling for Grouped Linear
Signed-off-by: Xin Yao <xiny@nvidia.com>

* enable float8blockwise
Signed-off-by: Xin Yao <xiny@nvidia.com>

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

for more information, see https://pre-commit.ci



* update
Signed-off-by: Xin Yao <xiny@nvidia.com>

* remove grouped linear parallel mode test
Signed-off-by: Xin Yao <xiny@nvidia.com>

* update test
Signed-off-by: Xin Yao <xiny@nvidia.com>

* resolve comments
Signed-off-by: Xin Yao <xiny@nvidia.com>

* internal=False for now
Signed-off-by: Xin Yao <xiny@nvidia.com>

* remove unused import
Signed-off-by: Xin Yao <xiny@nvidia.com>

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Signed-off-by: Xin Yao <xiny@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* add support for new recipe on permute_fusion, rm fp unpermute
Signed-off-by: tongliu <tongliu@nvidia.com>

* fix lint
Signed-off-by: Xin Yao <xiny@nvidia.com>

* remove fp8 from index map
Signed-off-by: Xin Yao <xiny@nvidia.com>

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

for more information, see https://pre-commit.ci



* skip unsupported tests
Signed-off-by: Xin Yao <xiny@nvidia.com>

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Signed-off-by: tongliu <tongliu@nvidia.com>
Signed-off-by: Xin Yao <xiny@nvidia.com>
Co-authored-by: tongliu <tongliu@nvidia.com>
Co-authored-by: Xin Yao <xiny@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>