mirror of
https://github.com/invoke-ai/InvokeAI
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e93f4d632d
* 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>
14 lines
219 B
Python
14 lines
219 B
Python
"""
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Initialization file for invokeai.backend.util
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"""
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from .logging import InvokeAILogger
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from .util import GIG, Chdir, directory_size
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__all__ = [
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"GIG",
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"directory_size",
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"Chdir",
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"InvokeAILogger",
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]
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