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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>

* add tutorial files and other local changes
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* remove extraneous code for easy debu
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* make cuda graphs work with non-paged and paged attention
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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

for more information, see https://pre-commit.ci



* perf imp for kv cache ops
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* add code for calibration
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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

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* optimize kv_cache reindex and copy kernels
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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* changes to make quantizers work with fp8_calibration
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* avoid reindexing from python side
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* rename variable from previous commit
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor fix
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor fix
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* use quantizer only if needed
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* functionality of the tutorial tested and perf checked
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* remove files and update headers/licenses
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* update header/license
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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

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* update tutorial for review
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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

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* make weights downloadable on the fly; remove extra print statements
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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

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

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

for more information, see https://pre-commit.ci



* add comma back, typo
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* sequence_start_positions should be None for training
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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

for more information, see https://pre-commit.ci



* add paged attention numberes and update requirements.txt file
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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

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

for more information, see https://pre-commit.ci



* make tutorial work on blackwell
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* remove gemma FT tutorial for now
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* fixing the headings placement and rewording attention -> kv caching
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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

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

for more information, see https://pre-commit.ci



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

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

* add more comments to te_gemma.py and cleanup utils.py
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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

for more information, see https://pre-commit.ci



* add more information about the hierarchy of the classes used in the tutorial
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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

for more information, see https://pre-commit.ci



* add better cuda graphs picture
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* addd updated cuda graphs pictures
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* add illustrated cuda graphs
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

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

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

* add torch.no_grad() to force reduced memory usage
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* some fixes from recent comments
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* more fixes from remaining comments
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* add te_rope_emb to class desc
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

* fix tutorial wording; add calibration fix to grouped_linear.py
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

---------
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>