GitLab

* Unfused impl for dbias-quantize
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* Unfused impl for dact-dbias-quantize
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* Disable fused bgrad-quantize for unsupported recipes
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* Remove unfused dbias-quantize impls

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* Tweaks
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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

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[PyTorch] Fix numeric overflow caused by int-type parameters and return value in the roundup function (#2034)
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[PyTorch] fix input_quantizer usage for save_original_input; fix blockwise FP8 convert_and_update_tensor (#1978)

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* fix get shape of blockwise tensor with only compact colwise data
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* Add basic kernel for swapping first two tensor dims
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* Compute amax in normalization kernels as long as the pointer is provided, even if using non quantized output
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* Compute amax in activation kernels when the output pointer is provided, even for non-fp8 outputs
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* Fuse computation of amax into the activation kernel for fp8 current scaling
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* Fix bug when constructing FP8 tensor
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* Add quantize function to C++ quantizers
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* Prototype function to coerce Python quantized tensors to match quantizer
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* Fix linter warnings
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* save original input
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* [PyTorch|common] Implement unpadding kernel for FP8

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Revert "Allow NVTEShape to own data. (#1674)"

This reverts commit e61ce77c

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* Allow NVTEShape to own data.
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