GitLab

* [PyTorch] Implement GQA based on fused q, k, v projection. Additionally fixes #392
Signed-off-by: Markus Schnoes <markus.schnoes@gmx.de>

* [PyTorch] Extend parameters_split option in Linear and LayerNormLinear to support splitting with different sizes as required by unfused GQA.
Signed-off-by: Markus Schnoes <markus.schnoes@gmx.de>

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

* fix noop cat to bypass torch.cat and support uneven split
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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

* fix cuda graph due to noop_cat
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

* remove the use of enumerate when possible
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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Signed-off-by: Markus Schnoes <markus.schnoes@gmx.de>
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Co-authored-by: Markus Schnoes <markus.schnoes@gmx.de>