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,
)