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* fix
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* Remove incorrect logic that treats 0-D tensor as uninitialized

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* Fix invalid conversion from tensor to int
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* Update to_string(NVTEScalingMode) to include block scaling
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* Add NVFP4 recipe
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* SM 70 is not supported in CUDA 13
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* Typo
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* Added dequantize kernel for FP4
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* Fix linter warning
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* Fix workspace size for GEMM heuristic.
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* Fix compile error in C++ NVFP4 test

Some some numeric errors when blocks are all zero.
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* proper assert dim for low precision AG TP
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* `nvte_cublas_gemm_v2` to take alpha pointer (#12)

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* API to have const float* alpha
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* Support fused amax kernels with NVFP4 quantization
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* Add shape checks for NVFP4 cast kernels
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* Do not fuse amax if cuDNN normalization is forced by envvar
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* fix empty tensor list
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* Changed the Tensor allocation strategy
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* Fix the double free error
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* Fix
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* Cleaning
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