pipeline package
Subpackages
- pipeline.blocks package
- Submodules
- pipeline.blocks.blocks module
- pipeline.blocks.data_dto module
- pipeline.blocks.experiment_dto module
LoopObjectDTOTrainGeneratorDTOTrainGeneratorDTO.batch_sizeTrainGeneratorDTO.lrTrainGeneratorDTO.save_and_sample_everyTrainGeneratorDTO.num_stepsTrainGeneratorDTO.results_dirTrainGeneratorDTO.gradient_accumulate_everyTrainGeneratorDTO.experiment_idTrainGeneratorDTO.copy_results_toTrainGeneratorDTO.start_from_checkpointTrainGeneratorDTO.dataset_split_typeTrainGeneratorDTO.diagnosisTrainGeneratorDTO.name_validator()TrainGeneratorDTO.model_computed_fieldsTrainGeneratorDTO.model_configTrainGeneratorDTO.model_fields
GenerateSamplesDTOGenerateSamplesDTO.num_samplesGenerateSamplesDTO.batch_sizeGenerateSamplesDTO.wandbGenerateSamplesDTO.model_versionGenerateSamplesDTO.base_onGenerateSamplesDTO.results_dirGenerateSamplesDTO.copy_results_toGenerateSamplesDTO.relative_dataset_results_dirGenerateSamplesDTO.checkpoint_pathGenerateSamplesDTO.generete_samples_dirGenerateSamplesDTO.name_validator()GenerateSamplesDTO.model_computed_fieldsGenerateSamplesDTO.model_configGenerateSamplesDTO.model_fields
FooDTOClassificationDTOClassificationDTO.epochsClassificationDTO.lrClassificationDTO.loss_multiplyClassificationDTO.ratioClassificationDTO.class_namesClassificationDTO.train_data_typeClassificationDTO.train_dataset_dirClassificationDTO.val_dataset_dirClassificationDTO.test_dataset_dirClassificationDTO.loss_fnClassificationDTO.num_workersClassificationDTO.batch_sizeClassificationDTO.log_every_n_stepsClassificationDTO.logger_tagsClassificationDTO.logger_experiment_nameClassificationDTO.offlineClassificationDTO.results_dirClassificationDTO.num_classesClassificationDTO.model_computed_fieldsClassificationDTO.model_configClassificationDTO.model_fields
ValidateDTOExperimentDTO
- pipeline.blocks.general_dto module
- pipeline.blocks.models_dto module
- pipeline.blocks.output_dto module
- pipeline.blocks.testing_dto module
- Module contents
ConfigBlocksFooDTOGenerateSamplesDTOGenerateSamplesDTO.num_samplesGenerateSamplesDTO.batch_sizeGenerateSamplesDTO.wandbGenerateSamplesDTO.model_versionGenerateSamplesDTO.base_onGenerateSamplesDTO.results_dirGenerateSamplesDTO.copy_results_toGenerateSamplesDTO.relative_dataset_results_dirGenerateSamplesDTO.checkpoint_pathGenerateSamplesDTO.generete_samples_dirGenerateSamplesDTO.name_validator()GenerateSamplesDTO.model_computed_fieldsGenerateSamplesDTO.model_configGenerateSamplesDTO.model_fieldsGenerateSamplesDTO.nameGenerateSamplesDTO.repeat
TrainGeneratorDTOTrainGeneratorDTO.batch_sizeTrainGeneratorDTO.lrTrainGeneratorDTO.save_and_sample_everyTrainGeneratorDTO.num_stepsTrainGeneratorDTO.results_dirTrainGeneratorDTO.gradient_accumulate_everyTrainGeneratorDTO.experiment_idTrainGeneratorDTO.copy_results_toTrainGeneratorDTO.start_from_checkpointTrainGeneratorDTO.dataset_split_typeTrainGeneratorDTO.diagnosisTrainGeneratorDTO.name_validator()TrainGeneratorDTO.model_computed_fieldsTrainGeneratorDTO.model_configTrainGeneratorDTO.model_fieldsTrainGeneratorDTO.nameTrainGeneratorDTO.repeat
ValidateDTODataDTOClassificationDTOClassificationDTO.epochsClassificationDTO.lrClassificationDTO.loss_multiplyClassificationDTO.ratioClassificationDTO.class_namesClassificationDTO.train_data_typeClassificationDTO.train_dataset_dirClassificationDTO.val_dataset_dirClassificationDTO.test_dataset_dirClassificationDTO.loss_fnClassificationDTO.num_workersClassificationDTO.batch_sizeClassificationDTO.log_every_n_stepsClassificationDTO.logger_tagsClassificationDTO.logger_experiment_nameClassificationDTO.offlineClassificationDTO.results_dirClassificationDTO.num_classesClassificationDTO.model_computed_fieldsClassificationDTO.model_configClassificationDTO.model_fields
Submodules
pipeline.parser module
- pipeline.parser.j_print(data, *args, **kwargs)[source]
Print the given data in JSON format if possible, otherwise print it as is. For development purposes only.
- Parameters:
data – The data to be printed.
*args – Additional positional arguments to be passed to the print function.
**kwargs – Additional keyword arguments to be passed to the print function.