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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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* fp8 mha with rope
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* avoid index select in cast ops
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* resolve comments
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* move transpose to backward for fp8 input
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* fix ut
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* skip fp8 dpa/mha tests when fa3 is not available
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[PyTorch] Add contiguous check for grouped gemm
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* Add permutation functions

* Add permutation ops

* Remove the dependency on cutlass

* Move permutation.py out of module dir

* Rewrite the unit test and enable skipping if FP8 is unavailable

* Rename exposed C++ API and reorder its parameters + take NVTETensor as inputs

* Use Float8Tensor for FP8 input

* Move dtype to ctx

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* support dtype casting fusion in FusedAdam
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* DGRAD-RS overlap bug fix

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[C/PyTorch] Fixed incorrect use of `torch.distributed.new_group()` when creating intra-node group in `initialize_ub()` (#1087)

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[PyTorch] Fixing hang in `initialize_ub()` for multi-node runs after PR901 removal of MPI-dependence (#986)

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