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* Add NVFP4 support with fusible ops

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* 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.
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* Fix compile error in C++ NVFP4 test

Some some numeric errors when blocks are all zero.
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* fix distrbuted test problem shape
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* 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)

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* 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

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* Debug IMA with alpha pointer
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* Disable fused amax with cuDNN LayerNorm kernel
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* Add NVFP4 cases to distributed tests for TE ops
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* Change assert to NVTE_CHECK in the hadamard cast fusion
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* Fix compile error
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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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Address tolerance check for current scaling dact
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* add xml export for test_multiprocessing_encoder and test_cgemm
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---------
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