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[PyTorch] Add contiguous check for grouped gemm
Signed-off-by: beinggod <zhangruibin@01.ai>
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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
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* minor changes
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* fix lint
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* changes based on review comments
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* remove unused code
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* code refactor
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* fix typo
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* refactor
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* remove unused code
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* Fix linter warnings
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* Copy CUDA headers for framework sdists
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* DGRAD-RS overlap bug fix

This PR fixes a bug in enabling DGRAD-RS overlap by adding the
layer to the correct method list. Previously, the RS-DGRAD overlap
layer was incorrectly added to pipeline method list even if
ring_exchange method is specified in config.
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Bug fix for ring_exchange ReduceScatter

ring_exchange RS uses main_stream for last GEMM chunk. But the
send/recv streams wait for stream_compute during last chunk.
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

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* use fused_multi_cast_transpose
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* fix input being empty tensor
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[C/PyTorch] Fixed incorrect use of `torch.distributed.new_group()` when creating intra-node group in `initialize_ub()` (#1087)

* updated initialize_ub() to use new_subgroups_by_enumeration() to generate intra-node groups, added new unit tests for TE layers with comm overlap
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* fix workspaces and unfused bias in multi-stream cuBLAS

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* Fix C-compatibility

* rm importing packaging in test_fused_attn.py

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* Ensure that the inputs to custom calls are contiguous
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[PyTorch] Fixing hang in `initialize_ub()` for multi-node runs after PR901 removal of MPI-dependence (#986)

* Re-implementing PR901 (removing MPI-dependence in Userbuffers) with multi-node fixes

* passing data-parallel rank/size info from torch.distributed to userbuffers
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