def run_with_cmdline_args(args):
cfg, output_dir, runner = prepare_for_launch(args)
launch(
post_mortem_if_fail_for_main(main),
num_processes_per_machine=args.num_processes,
num_machines=args.num_machines,
machine_rank=args.machine_rank,
dist_url=args.dist_url,
backend=args.dist_backend,
args=(cfg, output_dir, runner, args.eval_only, args.resume),
)
def run_with_cmdline_args(args):
cfg, output_dir, runner = prepare_for_launch(args)
return main(
cfg,
output_dir,
runner,
# binary specific optional arguments
predictor_types=args.predictor_types,
compare_accuracy=args.compare_accuracy,
skip_if_fail=args.skip_if_fail,
)
def run_with_cmdline_args(args):
cfg, output_dir, runner = prepare_for_launch(args)
inference_config = None
if args.inference_config_file:
inference_config = CfgNode(
CfgNode.load_yaml_with_base(args.inference_config_file))
return main(
cfg,
output_dir,
runner,
# binary specific optional arguments
predictor_types=args.predictor_types,
compare_accuracy=args.compare_accuracy,
skip_if_fail=args.skip_if_fail,
inference_config=inference_config,
)
def run_with_cmdline_args(args):
cfg, output_dir, runner = prepare_for_launch(args)
launch(
post_mortem_if_fail_for_main(main),
args.num_processes,
num_machines=args.num_machines,
machine_rank=args.machine_rank,
dist_url=args.dist_url,
backend="GLOO",
always_spawn=False,
args=(
cfg,
output_dir,
runner,
# binary specific optional arguments
args.predictor_path,
args.num_threads,
args.caffe2_engine,
args.caffe2_logging_print_net_summary,
),
)