GitLab

* fix: group offloading to support standalone computational layers in block-level offloading

* test: for models with standalone and deeply nested layers in block-level offloading

* feat: support for block-level offloading in group offloading config

* fix: group offload block modules to AutoencoderKL and AutoencoderKLWan

* fix: update group offloading tests to use AutoencoderKL and adjust input dimensions

* refactor: streamline block offloading logic

* Apply style fixes

* update tests

* update

* fix for failing tests

* clean up

* revert to use skip_keys

* clean up

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* update

* update

* update

* update

* update

* merge main

* Revert "merge main"

This reverts commit 65efbcead58644b31596ed2d714f7cee0e0238d3.

* update

* update

* refactor

* add test

* address review comment

* nit

change to 2025 licensing for remaining

* enable group_offloading and PipelineDeviceAndDtypeStabilityTests on XPU,
all passed
Signed-off-by: Matrix YAO <matrix.yao@intel.com>

* fix style
Signed-off-by: Matrix YAO <matrix.yao@intel.com>

* fix
Signed-off-by: Matrix YAO <matrix.yao@intel.com>

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Signed-off-by: Matrix YAO <matrix.yao@intel.com>
Co-authored-by: Aryan <aryan@huggingface.co>

* fix

* add tests

* add message check

* update

* fix

* non_blocking; handle parameters and buffers

* update

* Group offloading with cuda stream prefetching (#10516)

* cuda stream prefetch

* remove breakpoints

* update

* copy model hook implementation from pab

* update; ~very workaround based implementation but it seems to work as expected; needs cleanup and rewrite

* more workarounds to make it actually work

* cleanup

* rewrite

* update

* make sure to sync current stream before overwriting with pinned params

not doing so will lead to erroneous computations on the GPU and cause bad results

* better check

* update

* remove hook implementation to not deal with merge conflict

* re-add hook changes

* why use more memory when less memory do trick

* why still use slightly more memory when less memory do trick

* optimise

* add model tests

* add pipeline tests

* update docs

* add layernorm and groupnorm

* address review comments

* improve tests; add docs

* improve docs

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* apply suggestions from code review

* update tests

* apply suggestions from review

* enable_group_offloading -> enable_group_offload for naming consistency

* raise errors if multiple offloading strategies used; add relevant tests

* handle .to() when group offload applied

* refactor some repeated code

* remove unintentional change from merge conflict

* handle .cuda()

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>