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[util] Add generic torch device class (#6174)

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* introduce new abstraction layer for GPU devices

* add unit test for device abstraction

* fix ruff

* convert TorchDeviceSelect into a stateless class

* move logic to select context-specific execution device into context API

* add mock hardware environments to pytest

* remove dangling mocker fixture

* fix unit test for running on non-CUDA systems

* remove unimplemented get_execution_device() call

* remove autocast precision

* Multiple changes:

1. Remove TorchDeviceSelect.get_execution_device(), as well as calls to
   context.models.get_execution_device().
2. Rename TorchDeviceSelect to TorchDevice
3. Added back the legacy public API defined in `invocation_api`, including
   choose_precision().
4. Added a config file migration script to accommodate removal of precision=autocast.

* add deprecation warnings to choose_torch_device() and choose_precision()

* fix test crash

* remove app_config argument from choose_torch_device() and choose_torch_dtype()

---------

Co-authored-by: Lincoln Stein <lstein@gmail.com>
This commit is contained in:
Lincoln Stein
2024-04-15 09:12:49 -04:00
committed by GitHub
parent 5a8489bbfc
commit e93f4d632d
20 changed files with 327 additions and 176 deletions
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6
invokeai/app/invocations/compel.py
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@ -24,7 +24,7 @@ from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
ConditioningFieldData,
SDXLConditioningInfo,
)
from invokeai.backend.util.devices import torch_dtype
from invokeai.backend.util.devices import TorchDevice
from .baseinvocation import BaseInvocation, BaseInvocationOutput, invocation, invocation_output
from .model import CLIPField
@ -99,7 +99,7 @@ class CompelInvocation(BaseInvocation):
tokenizer=tokenizer,
text_encoder=text_encoder,
textual_inversion_manager=ti_manager,
dtype_for_device_getter=torch_dtype,
dtype_for_device_getter=TorchDevice.choose_torch_dtype,
truncate_long_prompts=False,
)
@ -193,7 +193,7 @@ class SDXLPromptInvocationBase:
tokenizer=tokenizer,
text_encoder=text_encoder,
textual_inversion_manager=ti_manager,
dtype_for_device_getter=torch_dtype,
dtype_for_device_getter=TorchDevice.choose_torch_dtype,
truncate_long_prompts=False, # TODO:
returned_embeddings_type=ReturnedEmbeddingsType.PENULTIMATE_HIDDEN_STATES_NON_NORMALIZED, # TODO: clip skip
requires_pooled=get_pooled,