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* Fix autocast deprecation warnings
Signed-off-by: Xin Yao <xiny@nvidia.com>

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

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

* resolve comments
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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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* Move Unfused and Fused attention to backends.py and some utils functions to pytorch/utils.py
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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
Reorder backends such that smaller classes at the start and larger ones at the end
Code clean up
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* Reinstating changes from PR 1478 for rope.py lost during rebase conflict resolution
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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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* support adam bf16 state
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* use fp32 kernel but keep bf16 optimizer states to save memory
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Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Initial commit
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos02.eos.clusters.nvidia.com>

* Fixed compilation errors
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* Fixed syntax errors
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* Fixed NaN issue when initial param value is zero
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* Removed 64 bit indexing instantiation
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* Made this feature an opt-in
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* Removed arg from unscaled state
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* Fixed compilation error
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* Cleaned up errors
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* Added support for checkpointing
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* Fixed checkpointing logic
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* Added tests
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* Added assert failure for capturable mode
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* Fixed pylint errors
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos02.eos.clusters.nvidia.com>

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* Add precision aware fused adam
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* Minor changes based on review comments.
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Port optimizer tests to pytest
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* support dtype casting fusion in FusedAdam
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* minor changes
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* fix lint
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* changes based on review comments
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* remove unused code
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* code refactor
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* fix typo
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* refactor
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* remove unused code
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* Fix linter warnings
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* Copy CUDA headers for framework sdists
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* Apply formatting
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* Apply formatting
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* add multi-tensor kernels
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* add FusedAdam
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* add test to qa
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* add FusedSGD
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* fix lint
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