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

* Optimize kernels
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Misc. Cleanup
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

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

* Optimize kernel performance
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

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

* Move fused_qkv_rope test to test_fused_rope.py
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

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* apply shared memory optimization to separate fused rope kernels
Signed-off-by: Xin Yao <xiny@nvidia.com>

* fix lint
Signed-off-by: Xin Yao <xiny@nvidia.com>

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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
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Resolving lost MHA changes from PR 1614 as a result of rebase
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Move context parallelism code into it's own file. Modify test and local imports of cp code accordingly
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Move softmax.py frm pytorch/ to pytorch/d_p_a
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Move Unfused and Fused attention to backends.py and some utils functions to pytorch/utils.py
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Resolving lost mark_activation_offload changes from PR 1678 as a result of rebase
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Code clean up
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

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* Refactor attention dir
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* 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
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Modify tests to import attention modules correctly
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Lint fixes
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Code clean up and fix typo
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Allowing InferenceParams and RoPE imports from attention module and pytorch module
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* 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
Reorder backends such that smaller classes at the start and larger ones at the end
Code clean up
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Reinstating changes from PR 1478 for rope.py lost during rebase conflict resolution
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

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* Fix lint issues
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* nit: Code clean up
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

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* Make imports leaner
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* add support for `sb1d` freqs tensor in Fused RoPE
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* add `start_positions` variable to `apply_rotary_pos_emb` function to make staggered rope application faster
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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* add pytorch path for `start_positions` and corresponding tests
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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* add tests for start_positions with thd
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* fixes from feedback
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* remove start_positions from backward pass
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* make notes shorter
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* refactor to add cp support for sbhd/bshd
Signed-off-by: Xin Yao <xiny@nvidia.com>

* support interleaved
Signed-off-by: Xin Yao <xiny@nvidia.com>

* format
Signed-off-by: Xin Yao <xiny@nvidia.com>

* add interleaved to RotaryPositionEmbedding in test
Signed-off-by: Xin Yao <xiny@nvidia.com>

* update
Signed-off-by: Xin Yao <xiny@nvidia.com>

* merge sbhd/bshd and thd functions
Signed-off-by: Xin Yao <xiny@nvidia.com>

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* Create pytorch/dot_product_attention module and pytorch/d_p_a/utils.py
Move attention logging into a separate class in pytorch/d_p_a/utils.py
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Create FlashAttentionUtils class in pytorch/d_p_a/utils/py for versioning info
Move versioning info out of pytorch/attention.py
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Move AttentionParams and get_attention_backend from attention.py to d_p_a/utils.py
Fix tests and imports for the above refactor change
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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
Rename cumulative functions from using _cu_ to using _cumul_ to differentiate from CUDA cu calls protocol
Rename tensor packaging methods with leading underscore to make them as internal to file
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* Remove unnecessary imports in pytorch/attention.py and d_p_a/utils.py
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* Create d_p_a/inference.py and move InferenceParams from pyt/attention.py to it
Modify tests and other files to import InferenceParams correctly
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Modify docs api for InferenceParams
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* Create d_p_a/rope.py and move RoPE methods from  pytorch/attention.py to it
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* Code cleanup
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* Fix qa testing induced bug
Code clean up
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* Fix incorrect pack_tensor arg type
Code clean up
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* nit: Resolve lint errors
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* Remove typedef FAUtils for FlashAttentionUtils
Use attn_log instead of att_log
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Fix lint error
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* nit: Fix the function name from get_cumul to the earlier get_cu
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* nit: Fix typos, explicit imports and remove extra comments
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