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Signed-off-by: Peter St. John <pstjohn@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fused RoPE with combined QKV input.

Initial commit for Dropout with 8-bit RNG

Fix documentation

Initial commit for Fused QKV RoPE

WIP

Initial tests passing

Enable rotary percent and margin

Enable CP2, start_positions, interleaved

Cleanup test

Revert "Fix documentation"

This reverts commit 53df10044e7769982bd4af2ae2628e6b7717e715.

Revert "Initial commit for Dropout with 8-bit RNG"

This reverts commit 301505e24031cbcd679069e1c2cd4d00eedf2dca.

Cleanup.

Minor cleanup
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

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* Optimize kernels
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* Misc. Cleanup
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* Optimize kernel performance
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* Move fused_qkv_rope test to test_fused_rope.py
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* apply shared memory optimization to separate fused rope kernels
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* fix lint
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* Move MultiHeadAttention into its own file. Modify tests and files in t_e/pytorch to import from the new MHA module
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* Resolving lost MHA changes from PR 1614 as a result of rebase
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* Move context parallelism code into it's own file. Modify test and local imports of cp code accordingly
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* Move softmax.py frm pytorch/ to pytorch/d_p_a
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* Resolving lost mark_activation_offload changes from PR 1678 as a result of rebase
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* Code clean up
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* Refactor attention dir
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* Refactor dir structure. Make relevant symbols public in __init__ for attention and d_p_a dirs
Move FA package imports to backends.py
Code cleanup
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* Modify tests to import attention modules correctly
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* Lint fixes
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* Code clean up and fix typo
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* Allowing InferenceParams and RoPE imports from attention module and pytorch module
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* Allow InferenceParams and RoPE imports via transformer_engine.pytorch and transformer_engine.pytorch.attention modules
Remove unnecessary checks for check_set_window_size in MHA and TL
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* Fix lint issues
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* nit: Code clean up
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* Make imports leaner
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* add support for `sb1d` freqs tensor in Fused RoPE
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* add `start_positions` variable to `apply_rotary_pos_emb` function to make staggered rope application faster
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* add tests for start_positions with thd
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* fixes from feedback
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* refactor to add cp support for sbhd/bshd
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* support interleaved
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* format
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* Create pytorch/dot_product_attention module and pytorch/d_p_a/utils.py
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* Move AttentionParams and get_attention_backend from attention.py to d_p_a/utils.py
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* Move get_qkv_layout(), get_full_mask(), get_alibi(), get_attention_quantizers() to d_p_a/utils.py
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* Move tensor packing and unpacking helper functions from pyt/attention.py to d_p_a/utils.py
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* Move cumulative seqlens and indices methods from pyt/attention.py to d_p_a/utils.py
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* Fix qa testing induced bug
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