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* fix(examples): te_llama compatibility with HuggingFace transformers >= 4.57

The te_llama.py example was failing with HuggingFace transformers 4.57+
due to API changes in how decoder layer outputs are handled.

Changes:
- Handle case where hidden_states is passed as a tuple (older HF versions)
- Return tensor directly instead of wrapped in tuple (HF 4.57+ expects this)
- Fix regex pattern to use raw string (fixes SyntaxWarning)

Error fixed:
  AttributeError: 'tuple' object has no attribute 'contiguous'

Tested with:
- transformer_engine 2.5.0
- transformers 4.57.3
- PyTorch container nvcr.io/nvidia/pytorch:25.08-py3
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

* docs(te_llama): add requirements.txt
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

* fix(docs): add missing notebook output names
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

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Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

Update copyright to include 2026
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Use public API instead of removed private function
* replaced use of _load_state_dict_into_model with model.load_state_dict because the private function _load_state_dict_into_model was removed in https://github.com/huggingface/transformers/pull/36335

Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* 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>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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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>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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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>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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

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Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

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

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* Move get_qkv_layout(), get_full_mask(), get_alibi(), get_attention_quantizers() to d_p_a/utils.py
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Move tensor packing and unpacking helper functions from pyt/attention.py to d_p_a/utils.py
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

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

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Remove unnecessary imports in pytorch/attention.py and d_p_a/utils.py
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* Create d_p_a/inference.py and move InferenceParams from pyt/attention.py to it
Modify tests and other files to import InferenceParams correctly
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

Modify docs api for InferenceParams
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Create d_p_a/rope.py and move RoPE methods from  pytorch/attention.py to it
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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

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* Fix qa testing induced bug
Code clean up
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Fix incorrect pack_tensor arg type
Code clean up
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

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

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Remove typedef FAUtils for FlashAttentionUtils
Use attn_log instead of att_log
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

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

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* nit: Fix the function name from get_cumul to the earlier get_cu
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

* nit: Fix typos, explicit imports and remove extra comments
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>

---------
Signed-off-by: Kshitij Janardan Lakhani <klakhani@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* allow tutorial to download the model weights automatically
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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* allow users to provide weight cache directory
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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* Apply formatting
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Apply formatting
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Llama 3 update
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Times update
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Times update
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* utils.py fix
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* utils.py fix
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* utils.py fix
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* update te llama tutorial to allow running with llama 3 weights
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* small fixes
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* small fix
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* small fix
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* add llama 3 vs llama 2 distinctions
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* paraphrasing and corrected facts
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* fix
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* fix
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

---------
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Llama tutorial fixes - all
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>
Co-authored-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* tutorial and doc fixes
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* remove extra code
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* fix typos
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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