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Refactor execution device & cpu offload - #4114
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| return torch.device(module._hf_hook.execution_device) | ||
| return self.device | ||
| def enable_sequential_cpu_offload(self, gpu_id: int = 0, device: Union[torch.device, str] = "cuda"): |
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Is general enough to work with all models. Also applies suggestion from #3990
The documentation is not available anymore as the PR was closed or merged. |
williamberman
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Jul 17, 2023
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Nice, this makes a ton of sense! We should be sure to monitor the integration tests
| def _execution_device(self): | ||
| r""" | ||
| Returns the device on which the pipeline's models will be executed. After calling | ||
| `pipeline.enable_sequential_cpu_offload()` the execution device can only be inferred from Accelerate's module |
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Can we format pipeline.enable_sequential_cpu_offload() such that the hyperlink generates properly?
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| # set these parameters to False in the child class if the pipeline does not support the corresponding functionality | ||
| test_attention_slicing = True | ||
| test_cpu_offload = True |
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We always test it
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We completely remove the test_cpu_offload flag because every pipeline is now tested
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sayakpaul
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Jul 18, 2023
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orpatashnik pushed a commit
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* create general cpu offload & execution device * Remove boiler plate * finish * kp * Correct offload more pipelines * up * Update src/diffusers/pipelines/pipeline_utils.py * make style * up
orpatashnik pushed a commit
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* create general cpu offload & execution device * Remove boiler plate * finish * kp * Correct offload more pipelines * up * Update src/diffusers/pipelines/pipeline_utils.py * make style * up
orpatashnik pushed a commit
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* create general cpu offload & execution device * Remove boiler plate * finish * kp * Correct offload more pipelines * up * Update src/diffusers/pipelines/pipeline_utils.py * make style * up
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* create general cpu offload & execution device * Remove boiler plate * finish * kp * Correct offload more pipelines * up * Update src/diffusers/pipelines/pipeline_utils.py * make style * up
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* create general cpu offload & execution device * Remove boiler plate * finish * kp * Correct offload more pipelines * up * Update src/diffusers/pipelines/pipeline_utils.py * make style * up
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Refactor
enable_sequential_cpu_offloadand_execution_deviceEvery pipeline should be able to use
cpu_offloadin a very non-customized way as essentially we just need to wrap alltorch.nn.Modulecomponets into thecpu_offloadfunction. Similarly can we determine the_execution_deviceby looping over all torch.nn.Module components.Therefore this PR:
enable_sequantial_cpu_offloadand_execution_devicetoDiffusionPipeline_exclude_from_cpu_offloadclass list to classes where certain specific components cannot be offloaded because of weird parameter structureI tested this PR on GPU by running: