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* Update to_string(NVTEScalingMode) to include block scaling
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Add `nvte_swizzle_block_scaling_to_mxfp8_scaling_factors`
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Convert FP8 block scaling tensors to MXFP8 tensors on Blackwell and newer in GEMM
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Allow Blackwell and newer in Deepseek recipe compatbility check
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* Allow data_rows % 4 != 0 in 1d kernel
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* Load scaling factors in unswizzled order in 1d kernel
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* Enforce use of power of two scaling
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* Skip the FP8 block scaling exact GEMM test on Blackwell
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* Skip further tests with pow_2_scales=False
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* Initial implementation of tensor conversion for grouped gemm
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* Skip non power of two scaling cpp unit tests
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* Fix handling of all gather
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* Apply suggestions from code review
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* Use compute capability 10.0 for logic with Blackwell
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* Apply suggestions from code review
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* Add NVFP4 recipe
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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* Add MathDx dependency to GitHub builds
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Suggestions from GitHub Copilot
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* Move 2x shape logic from core to PyTorch
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix compilation errors with CUDA 12.1
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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* SM 70 is not supported in CUDA 13
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* Typo
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* Revert "Move 2x shape logic from core to PyTorch"

This reverts commit f8b2a2d0111d9af690b43bb98ae448d9a430a185.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Added dequantize kernel for FP4
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* Add NVFP4 support with fusible ops

Use logical tensor dims for PyTorch NVFP4 tensors. Temporarily add unfused dequantize impl. Fix bug where NVFP4 recipe was not configurable.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix logic for 2x shapes and move to PyTorch
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* Fix CG test model config
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* Debug NVFP4 tensor size function
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* Proper handling of the RNG state
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* Test SR properly
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* Fix workspace size for GEMM heuristic.
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix compile error in C++ NVFP4 test

Some some numeric errors when blocks are all zero.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* fix distrbuted test problem shape
Signed-off-by: zhongboz <zhongboz@nvidia.com>

* proper assert dim for low precision AG TP
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* clean up duplicated code in nvfp4_utils.cuh
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* lint
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* pylint: disable=unused-argument
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* `nvte_cublas_gemm_v2` to take alpha pointer (#12)

* make nvte_cublas_gemm_v2 to take alpha/beta pointers
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* users are expected to pass a valid C_tensor
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* typos
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* API to have const float* alpha
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* Minor tweaks

Support arbitrary beta scales. Increase workspace to be aligned to 128 bytes.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug IMA with alpha pointer
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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* Support fused amax kernels with NVFP4 quantization
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Disable fused amax with cuDNN LayerNorm kernel
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add NVFP4 cases to distributed tests for TE ops
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Change assert to NVTE_CHECK in the hadamard cast fusion
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* Use global thread IDs for Philox subsequences
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* Add shape checks for NVFP4 cast kernels
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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* Do not fuse amax if cuDNN normalization is forced by envvar
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* bulk alloc
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* multi-tensor swizzle
Signed-off-by: Xin Yao <xiny@nvidia.com>

* pad zeros in swizzle kernels
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* unify single- and multi-tensor swizzle
Signed-off-by: Xin Yao <xiny@nvidia.com>

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

* fix bug for col swizzle
Signed-off-by: Xin Yao <xiny@nvidia.com>

* check context & fix signifiers
Signed-off-by: Xin Yao <xiny@nvidia.com>

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* rm unused swizzle extensions
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Consistent namespaces and first refactor
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* revert accidental perm change
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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