medl.tools.mmar_converter package
- medl.tools.mmar_converter.tf_mappers package
- Submodules
- medl.tools.mmar_converter.tf_mappers.aiaa_mappers module
- medl.tools.mmar_converter.tf_mappers.aux_ops_mappers module
- medl.tools.mmar_converter.tf_mappers.croppad_transform_mappers module
- medl.tools.mmar_converter.tf_mappers.handler_mappers module
- medl.tools.mmar_converter.tf_mappers.image_pipeline_mappers module
- medl.tools.mmar_converter.tf_mappers.inferer_mappers module
- medl.tools.mmar_converter.tf_mappers.intensity_transform_mappers module
- medl.tools.mmar_converter.tf_mappers.io_transform_mappers module
- medl.tools.mmar_converter.tf_mappers.loss_mappers module
- medl.tools.mmar_converter.tf_mappers.lr_policy_mappers module
- medl.tools.mmar_converter.tf_mappers.metric_mappers module
- medl.tools.mmar_converter.tf_mappers.model_mappers module
- medl.tools.mmar_converter.tf_mappers.optimizer_mappers module
- medl.tools.mmar_converter.tf_mappers.post_transform_mappers module
- medl.tools.mmar_converter.tf_mappers.spatial_transform_mappers module
- medl.tools.mmar_converter.tf_mappers.tf_mapper module
- medl.tools.mmar_converter.tf_mappers.utility_transform_mappers module
- medl.tools.mmar_converter.tf_mappers.writer_mappers module
- Module contents
- class ConvertAIAAConfiger(mmar_root: str, wf_config_file_name=None)
Bases:
dlmed.utils.wfconf.ConfiguratorConfig parser to load AIAA JSON config of Clara-TF 3.1 and convert it to Clara 4.0.
- configure()
- finalize_config(config_ctx: dlmed.utils.wfconf.ConfigContext)
- get_converted()
- process_config_element(config_ctx: dlmed.utils.wfconf.ConfigContext, node: dlmed.utils.json_scanner.Node)
- start_config(config_ctx: dlmed.utils.wfconf.ConfigContext)
- convert_mmar(mmar_path: str, out_path: str)
- convert_shell_script(source_dir: str, dest_dir: str, filename: str, targetname: str, finetune: bool, val: bool, val_ckpt: bool)
- main()
- class ConvertEvaluateConfiger(init_config: dict, train_ctx: dict, mmar_root: str, wf_config_file_name=None, env_config_file_name=None, log_config_file_name=None, kv_list=None)
Bases:
medl.tools.mmar_converter.convert_tf_configer.ConvertTrainConfigerAs the validation config of Clara 4.0 is simiar to the validation part of train config, just extract the validation config from the converted train config, then adjust values based on validate config.
- finalize_config(config_ctx: dlmed.utils.wfconf.ConfigContext)
- process_first_pass(node: dlmed.utils.json_scanner.Node)
- start_config(config_ctx: dlmed.utils.wfconf.ConfigContext)
- class ConvertTrainConfiger(mmar_root: str, wf_config_file_name=None, env_config_file_name=None, log_config_file_name=None, kv_list=None)
Bases:
dlmed.utils.clara_conf.ClaraConfigerConfig parser to load Clara-TF 3.1 JSON config and convert to Clara 4.0 JSON config.
- configure()
- finalize_config(config_ctx: dlmed.utils.wfconf.ConfigContext)
- get_converted()
- process_config_element(config_ctx: dlmed.utils.wfconf.ConfigContext, node: dlmed.utils.json_scanner.Node)
- process_first_pass(node: dlmed.utils.json_scanner.Node)
- process_second_pass(node: dlmed.utils.json_scanner.Node)
- start_config(config_ctx: dlmed.utils.wfconf.ConfigContext)