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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 an int conversion error
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* FFI for all softmax functions
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* FFI for FusedAttnBackward and Dequantize

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* Revert changes to tests/jax/test_fused_attn.py
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* Fix file extensions
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* fix build
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* upgrade paddle container for CI
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* Implement ring attention primative for Jax.
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* split cudnn utils from fused_attn/util
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* added prepare phase for the FusedAttnForwardFFI

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* FFI for some transpose & activation functions
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* Remove comments in transformer_engine/jax/csrc/extensions/activation.cpp
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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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* 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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* Add Userbuffers support for linear dgrad

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* Add layer norm op
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* Fix linter warnings
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* Add LayerNormForwardFFI(); add FFI calls in Python
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Exposed context parallel params to DPA api
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* Let fp8 mha work with rope when cp is on
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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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rm default value for NVTE_JAX_FUSED_ATTN_WITH_FFI
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* lowering a dict of attrs

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[JAX] Fix correctness of JAX fused attention with CP and improve numerics check in unit tests (#1282)

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