InvokeAI/invokeai/backend/image_util/infill_methods
Lincoln Stein e93f4d632d
[util] Add generic torch device class (#6174)
* 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()

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Co-authored-by: Lincoln Stein <lstein@gmail.com>
2024-04-15 13:12:49 +00:00
..
test_images feat(nodes): redo tile infill 2024-04-05 08:49:13 +11:00
cv2_inpaint.py wip: Initial Infill Methods Refactor 2024-04-05 08:49:13 +11:00
lama.py [util] Add generic torch device class (#6174) 2024-04-15 13:12:49 +00:00
mosaic.py fix: bypass edge pixels which cannot transform to tile size 2024-04-05 08:49:13 +11:00
patchmatch.py wip: Initial Infill Methods Refactor 2024-04-05 08:49:13 +11:00
tile.ipynb feat(nodes): redo tile infill 2024-04-05 08:49:13 +11:00
tile.py feat(nodes): redo tile infill 2024-04-05 08:49:13 +11:00