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* add checks to cuda kernel launch and cuda API calls
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* Remove exceptions from destructors
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* fix weired dispatch in ln/rmsnorm
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* for loop
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* bulk alloc
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* multi-tensor swizzle
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* pad zeros in swizzle kernels
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* unify single- and multi-tensor swizzle
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* fix empty tensor list
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* fix bug for col swizzle
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* check context & fix signifiers
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* [PyTorch|common] Implement unpadding kernel for FP8

1. Add multi-tensor unpadding kernel
2. Replace split+cat with unpadding kernel in Fp8Padding and Fp8Unpadding
3. Add unpadding with padding unit tests
Signed-off-by: xiaoxi-wangfj <690912414@qq.com>

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* add license
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* Update padding.cu
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* Added support of FP4 data type
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* Refactoring to BitsNum in progress
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* Fixed compilation errors. All C++ tests passed
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* Fixed a typo
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* Added FP4 guard to TMA tensor descriptor data type
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* Fixed errors in JAX C++ extensions
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* Removed dummy NVFP4 C++ test file
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* Make pytorch changes
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* Refactored the code per the review notes. Fixed JAX build error.
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* Removed unnecessary static casts
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* Typo fix
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* Pass correct num bits to create_2D_tensor_map; fixes CI
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* inline funcs
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* Changed the Tensor allocation strategy
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* Fixes
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* Disable debug flag
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* Fix the double free error
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* Fix
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* Fixed pyTorch recipe extension
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* Fix
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* Fix
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* Hide TensorAllocator and fix the usage in LayerNorm
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* Cleaning
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* Fix
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* Fix permutation
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* [TE/PyTorch][MoE] Add FP8 padding and unpadding module 

 1. Add multi-tensor padding kernel for FP8 with padding size = 16.
 2. Add FP8Padding and Fp8Unpadding module
 3. Add Padded GroupedLinear unit tests

---------
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