GitLab

* Add dropout kernel with 8-bit RNG
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* Avoid ambiguous types
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* Do not enforce dropout prob is representable in 8 bits
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* Expand error message
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* Fix small statistical bug from using less-equal instead of less-than

Refactor kernel implementations and add comments. Interpret masks as bytes rather than 16-bit uints.
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* Fix linter warning
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* Remove unnecessary helper function in PyTorch extensions
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expose more activation functions
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* Add rmsnorm_bwd_add
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* Add separate BackwardAdd stage for the fused backward add
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* Add `nvte_cublas_gemm_scaled`
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* fix: Add stream synchronization before destroying MPI communicator (#1979)
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* feat: Implement column-wise userbuffer overlap for comm+GEMM operations

Add support for overlapping column-wise allgather communication with GEMM
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* Add basic kernel for swapping first two tensor dims
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* Tune kernel
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* Make sure writes are contiguous
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* add router fusion
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* Fix CI sm89/80
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* [PyTorch|common] Implement unpadding kernel for FP8

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* Update padding.cu
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