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* 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() --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
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1.2 KiB
Utilities
Utility and helper functions for working with 🤗 Diffusers.
numpy_to_pil
autodoc utils.numpy_to_pil
pt_to_pil
autodoc utils.pt_to_pil
load_image
autodoc utils.load_image
export_to_gif
autodoc utils.export_to_gif
export_to_video
autodoc utils.export_to_video
make_image_grid
autodoc utils.make_image_grid
randn_tensor
autodoc utils.torch_utils.randn_tensor
apply_layerwise_casting
autodoc hooks.layerwise_casting.apply_layerwise_casting
apply_group_offloading
autodoc hooks.group_offloading.apply_group_offloading