def test_run(self, config_file_path: str): """ Instantiate and run all the test tasks Arguments: config_file_path {str} -- path to the config for the task to be run """ logger.info(f"Loading {config_file_path}") cfg = SSLHydraConfig.from_configs([config_file_path]) args, config = convert_to_attrdict(cfg.default_cfg) checkpoint_folder = get_checkpoint_folder(config) # Complete the data localization at runtime config.DATA.TRAIN.DATA_PATHS = [ pkg_resources.resource_filename(__name__, "test_data") ] # run training and make sure no exception is raised dist_run_id = get_dist_run_id(config, config.DISTRIBUTED.NUM_NODES) train_main( config, dist_run_id=dist_run_id, checkpoint_path=None, checkpoint_folder=checkpoint_folder, local_rank=0, node_id=0, hook_generator=default_hook_generator, )
def test_run(self, config_file_path: str): """ Instantiate and run all the test tasks Arguments: config_file_path {str} -- path to the config for the task to be run """ logger.info(f"Loading {config_file_path}") cfg = SSLHydraConfig.from_configs([config_file_path]) args, config = convert_to_attrdict(cfg.default_cfg) checkpoint_folder = get_checkpoint_folder(config) # Complete the data localization at runtime config.DATA.TRAIN.DATA_PATHS = [ pkg_resources.resource_filename(__name__, "test_data") ] if torch.distributed.is_initialized(): # Destroy process groups as torch may be initialized with NCCL, which # is incompatible with test_cpu_regnet_moco.yaml torch.distributed.destroy_process_group() # run training and make sure no exception is raised dist_run_id = get_dist_run_id(config, config.DISTRIBUTED.NUM_NODES) train_main( config, dist_run_id=dist_run_id, checkpoint_path=None, checkpoint_folder=checkpoint_folder, local_rank=0, node_id=0, hook_generator=default_hook_generator, )
def process_main(cfg, dist_run_id, local_rank, node_id): train_main( cfg, dist_run_id, checkpoint_path, checkpoint_folder, local_rank=local_rank, node_id=node_id, hook_generator=hook_generator, )