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() --------- Co-authored-by: Lincoln Stein <lstein@gmail.com>		2024-04-15 13:12:49 +00:00
..
app
backend
fixtures
inpainting
test_model_manager
test_model_probe/vae
__init__.py
conftest.py
dev_prompts.txt
legacy_tests.sh
test_config.py
test_docs.py
test_graph_execution_state.py	tests: add test for iterate execution order	2024-03-26 09:18:46 +11:00
test_invocation_cache_memory.py
test_item_storage_memory.py
test_model_hash.py
test_model_probe.py
test_model_search.py
test_node_graph.py
test_nodes.py
test_object_serializer_disk.py
test_path.py
test_profiler.py
test_session_queue.py
test_sqlite_migrator.py
validate_pr_prompt.txt