vision_unlearning.benchmarks.I_care.configuration ================================================= .. py:module:: vision_unlearning.benchmarks.I_care.configuration Attributes ---------- .. autoapisummary:: vision_unlearning.benchmarks.I_care.configuration.domain_unlearning_algorithm vision_unlearning.benchmarks.I_care.configuration.domain_task vision_unlearning.benchmarks.I_care.configuration.domain_attribute vision_unlearning.benchmarks.I_care.configuration.domain_entity vision_unlearning.benchmarks.I_care.configuration.domain_model vision_unlearning.benchmarks.I_care.configuration.domain_mp vision_unlearning.benchmarks.I_care.configuration.domain_me vision_unlearning.benchmarks.I_care.configuration.domain_s vision_unlearning.benchmarks.I_care.configuration.domain_l vision_unlearning.benchmarks.I_care.configuration.type_unlearning_algorithm vision_unlearning.benchmarks.I_care.configuration.type_task vision_unlearning.benchmarks.I_care.configuration.type_model vision_unlearning.benchmarks.I_care.configuration.type_mp vision_unlearning.benchmarks.I_care.configuration.type_me vision_unlearning.benchmarks.I_care.configuration.type_s vision_unlearning.benchmarks.I_care.configuration.type_l vision_unlearning.benchmarks.I_care.configuration.type_regression_algorithm vision_unlearning.benchmarks.I_care.configuration.GUI_TO_BACKEND vision_unlearning.benchmarks.I_care.configuration.type_direction vision_unlearning.benchmarks.I_care.configuration.mp_to_direction vision_unlearning.benchmarks.I_care.configuration.s_to_direction vision_unlearning.benchmarks.I_care.configuration.task_to_attributes_of_interest vision_unlearning.benchmarks.I_care.configuration.unlearning_algorithm_to_epochs Functions --------- .. autoapisummary:: vision_unlearning.benchmarks.I_care.configuration.convert_params_from_gui_to_backend Module Contents --------------- .. py:data:: domain_unlearning_algorithm :value: ['FADE', 'Munba', 'UCE'] .. py:data:: domain_task :value: ['Breeds', 'Scenes', 'People'] .. py:data:: domain_attribute .. py:data:: domain_entity .. py:data:: domain_model :value: ['Stable Diffusion 1.4'] .. py:data:: domain_mp :value: ['Delta Clip', 'Delta Brisque', 'RMSE', 'SSIM'] .. py:data:: domain_me :value: ['Emitter worst interfered brisque diff', 'Emitter worst interfered clip diff', 'Emitter worst... .. py:data:: domain_s :value: ['Clip Cosine Similarity', 'Jacc Similarity'] .. py:data:: domain_l :value: ['Clip Embedding'] .. py:data:: type_unlearning_algorithm .. py:data:: type_task .. py:data:: type_model .. py:data:: type_mp .. py:data:: type_me .. py:data:: type_s .. py:data:: type_l .. py:data:: type_regression_algorithm .. py:data:: GUI_TO_BACKEND .. py:data:: type_direction .. py:data:: mp_to_direction :type: Dict[type_mp, type_direction] .. py:data:: s_to_direction :type: Dict[type_s, type_direction] .. py:data:: task_to_attributes_of_interest .. py:data:: unlearning_algorithm_to_epochs .. py:function:: convert_params_from_gui_to_backend(params: Dict[str, Any]) -> Dict[str, Any] Convert GUI values to backend literal values. Unknown keys are passed through unchanged. None stays None.