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* Remove manual FP8 scale update for FP8 params
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* Add AMP support
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* Update to use QuantizedTensor class
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* Fix linter warnings
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* Use weight dtype as default compute dtype
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[PyTorch] Missing intra-domain ranks list when initializing Userbuffers with data parallelism (#1305)

added missing list of intra-domain ranks when num_domains > 1 in initialize_ub
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* moved userbuffers code to TE/common
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* add docstring to tex.ubuf_built_with_mpi()
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* Add fallback for fast param getter
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Fix wgrad for GroupedLinear when weights doesn't require grad
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Fix FP8 activation recompute
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* CPU perf optimization in linear autograd function

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* Fix linter warnings
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* Removing the unused options from GroupedLinear docs and fixing the bug
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* docs fix
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* Check if network interface name is valid and show useful warning message when initializing Userbuffers
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* propagate scale_inv modification to GroupedLinear
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* optimization for separate scale_inv of weights and single output
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* [TE/PyTorch][MoE] Add FP8 padding and unpadding module 

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feat(pytorch): Allow TransformerLayer and MultiheadAttention to accept sequence length parameters (#1066)

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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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