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Debug ONNX export with te.Sequential

ONNX export assumes that all state dict objects are tensor, even extra state.
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* Fix file extensions
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* Add Userbuffers support for column TP linear layer
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* Add Userbuffers support for row TP linear layer
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* Interpret linear+RS as row TP linear
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* Add Userbuffers support for FP8 row TP linear layer

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* Debug bug with incorrect bias pointers in UB GEMM

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* Expand documentation
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* Fix linter warnings
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* Fix missing imports
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* Fix linter warnings
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* Add layer norm op
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* RMSNorm op
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* Fix linter warnings
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* Replace LayerNorm module with LayerNorm op
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* Replace RMSNorm module with RMSNorm op
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* Add AMP support
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* Do not save autograd context if grad mode is disabled

Debugging ONNX export tests.
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* Forward args in pre_forward func to base op class
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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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* Debug checkpointing with operation-based API
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* Let fp8 mha work with rope when cp is on
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* fix and update ut
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[PyTorch] Missing intra-domain ranks list when initializing Userbuffers with data parallelism (#1305)

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* remove an unnecessary f
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* moved userbuffers code to TE/common
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* added documentation for te.initialize_ub
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