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feature(FA3,MLA,CP):
1. Update FA3 to commit-id 3ba6f82 (tag 2.8.0.post2 with compile error fixed), PR-1604 support hdimQK != hdimV backward
2. Update get_attention_backend method because FA3 support MLA now
3. Add CP MLA support for FA3
4. Add unit tests for FA3 MLA CP
5. Update attention doc
Signed-off-by: zhujian <zhujian.whu.cs@gmail.com>

Adds context parallelism utilities: moving cp shards to diff ranks and pad sequence to divisibility factory (#2129)

* test - adds unit test for cp utilities and the utilites
Signed-off-by: Jonathan Mitchell <jomitchell@login-eos02.eos.clusters.nvidia.com>

* assert line change
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* Bump cuDNN FE to 1.14.0
Signed-off-by: Vladimir Cherepanov <vcherepanov@nvidia.com>

* Change submodule hash
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* Pick up a cuDNN FE fix
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* New model configs in tests
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* Exclude cuDNN backend for some configs
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* Add verbosity only for failing tests
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* Prune some tests and preinit recipe
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* Prune further tests
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* fix multitensor
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* Minor fixes
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* fix a100
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* exclude 9.10.0/.1 for certain configs
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix kv_channels
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* add get_backend to tests
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* add init files
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* fix numerics and cuda graph tests
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* fix jax tests
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* remove prints
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* minor changes after renaming
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* fix import structure and rename get_attention_backends
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* fix docs and benchmarks
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* fix get backend calls
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* Revert "fix get backend calls"

This reverts commit 653cbb51c697bc2f975416bb3aac1d85f76c36dc.
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* Revert "fix docs and benchmarks"

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* fix docs, benchmarks and pre-commit ci
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* fix dpa/mha flash attn selection
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* fix rng states
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* fix ModelConfig
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* fix backend selection on Ampere
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* fix issues from last merge
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* Update tests/pytorch/utils.py
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* remove initialization of rng_states to None
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* redefine ModelConfig
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* fix typo
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* fix ModelConfig
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* fix seed for CP tests
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* Update tests/pytorch/test_sanity.py
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* move fixture from utils to individual tests
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* fix CI
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