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

* fix for float8 tensor fsdp2 training
Signed-off-by: Varun Thumbe <vthumbe@nvidia.com>

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* zeros_like should return fp32 for fsdp2 to work
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* minor cleanup
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* fix unsharded weights not releasing memory
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* implement using fsdp preallgather and postallgather functions
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* FSDP2 works on Hopper/L40
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* minor comment
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* some fixes for fp8 + handwavy changes for mxfp8
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* only transpose saved for backward pass allgather in case of L40/Hoppergst
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* missed minor change to hopper use-case
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* communicate only required data in mxfp8, fix for updating weight usages when required instead of doing upfront in fwd pass
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* changes for meta Dtensors for weights and better all gather data handling in fsdp hook functions
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* better solution to figure out forward pass in FSDP2
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* adress review comments
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* Update transformer_engine/pytorch/tensor/mxfp8_tensor.py
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* everything functioning except hack for transformerlayer
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* fix merge conflict
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* revert change of commit id for cudnnt-frontend
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* unnecessary change
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* minor issues with linting, add some comments
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* minor stuff
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* revert space removal

Add default usage handling for rowwise and columnwise data.
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* fix the fsdp state collection issue, and minor review comments addressing
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* revert change for dgrad redundant computation
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* bug: get fsdp param group's training state instead of root training state; address review comments
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* address review comments
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* address coderabbit review comments
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* address review comments
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* address review comments
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* adress review comments; fix fp8 allgather test to do after fsdp lazy init
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* address review comments
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* remove detach
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* do what makes sense
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* Update transformer_engine/pytorch/tensor/float8_tensor.py
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* Update transformer_engine/pytorch/tensor/mxfp8_tensor.py
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* adress review comments
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* address review comments
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* have better dtype for fsdp_post_all_gather arguments
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* minor comment
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* improve comment
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* fix the error in CI
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* minor comment add
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* accidentally removed view function
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* fix minor bug for h100
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* minor addition
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* implement padding removal/addition for allgather
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* address review comments
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* Update transformer_engine/pytorch/tensor/mxfp8_tensor.py
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* fix lint error
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* improve the reset parameter logic for dtensors
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* cosmetic changes
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* cosmetic changes
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* Update transformer_engine/pytorch/module/layernorm_linear.py
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* Fix test of FSDP2 by correcting init logic and applying autocast

This fixes multiple issues in the FSDP2 test, namely
1. Previously fp8 init was performed when `args.fp8_init == False`. I have updated the logic to match what I presume was intended by leveraging the nullcontext context manager.
2. `te.fp8_autocast` was previously not called; the recipe was created but was unused. The autocast context manager now wraps the model's computation.
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* Fix typo
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* Update tests/pytorch/distributed/run_fsdp2_model.py
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* Fix bug when constructing context for model init
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* Initial API change
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Change all imports and api
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* format
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* fixes
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* fix typo
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* fix recipe tets
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* fix more tests
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* fix docs, tests, and make Jax change as well
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* Change internal uses of fp8_autocast
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* Address nits
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* rename file
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* CG function, and small test fixes
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* Change instances of make_graphed_callables internally
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* Review
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* Fix test and add more docs
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* fixes
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* fix tests
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* Better docs and better api
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* format
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* Apply suggestions from code review
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* fix nvfp4 test
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* draft implementation of fsdp2 fp8 all gather
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* fix the convergence issue
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