GitLab

1,Resolve out-of-bounds issues for types struct
2,Fix TestFusedCastFloat8Vectorwise test case failure
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See merge request dcutoolkit/deeplearing/TransformerEngine!73

* Add general C API for setting tensor params
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* Implement general accessors for NVTETensor
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* Refactor tex swizzling to skip if scales are already swizzled
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* Add checks for non-swizzled scales in MXFP8 and NVFP4 kernels
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* Support pre-swizzled scales in MXFP8Tensor
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* Add tex function to swizzle MXFP8 scales
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* Fix bug in inplace swizzle function
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* Tweak comments to use "compact/swizzled format"
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* MXFP8 quantize kernel with pre-swizzled scales
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* Expose pre-swizzled scales in modules
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* Fix bug in multi-swizzle
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* Support MXFP8 gated activations with swizzled scales
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* Add PyTorch infrastructure for pre-swizzled NVFP4 tensors
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* Deprecate DSv3-specific quantization logic in C API
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* Remove support for DSv3 compact data from quantizer
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* Remove DSv3 compact data format from core lib
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* Fix bug in FP8 all-gather
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* Fix linter warnings
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* Update JAX to use new swizzled scale API
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* Review suggestion from @greptile-apps
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* Update C++ swizzle test with swizzled scales API
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* Return default tensor params when querying params for invalid NVTETensor
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* Debug DSv3 FP8 test failures
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* Debug Userbuffers test failures
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* Make sure gated activations populate FP8 transpose if needed
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* Review suggestions from @greptile-apps
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* Disable pre-swizzling with debug quantizer
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* Fix merge conflicts and review suggestions

Update copyright years. Tweak comments. Fix various complaints from @greptile-apps.
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* Use explicitly sized types in config accessors

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* Make util header for function that compute swizzled scale index
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Update copyright to include 2026
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* Initialize empty tensors with shape=[0] instead of shape=[].
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* Fix runtime crash in LayerNorm

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* Make sure norm workspace sizes are not zero
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* Remove assumption in swizzle kernel that data is available.
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* Remove assumption in multi-swizzle kernel that data is available.
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* Remove unnecessary explicit call to default constructor
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* Avoid accessing tensor data pointer if tensor has no entries
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* Prefer using row-wise/col-wise shape based on which has data
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* Fix merge conflict, expand docs, fix inconsistency in dim function
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* Change Tensor::has_data to check whether tensor is initialized, not whether pointer is valid.
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Fix amax computation using output_t data in normalization
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* Removed activations from NVFP4 CPP tests. Removed CMake debugging flags
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* Better wording
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* Update to_string(NVTEScalingMode) to include block scaling
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* Add `nvte_swizzle_block_scaling_to_mxfp8_scaling_factors`
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* SM 70 is not supported in CUDA 13
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* Typo
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