| import argparse |
|
|
| import common.launch_utils as lu |
|
|
|
|
| def parse_args(): |
| def str2bool(v): |
| if v.lower() in ('yes', 'true', 't', 'y', '1'): |
| return True |
| elif v.lower() in ('no', 'false', 'f', 'n', '0'): |
| return False |
| else: |
| return argparse.ArgumentTypeError('Unsupported value encountered') |
| parser = argparse.ArgumentParser() |
|
|
| |
| parser.add_argument("--mode", default="submitit", type=str, |
| help="Launch mode (submitit | accelerate | python)") |
| parser.add_argument("--debug", default=False, type=str2bool, |
| help="Debug mode (True | False)") |
|
|
| |
| parser.add_argument("--name", default="masaccio", type=str, |
| help="Name of the job") |
| parser.add_argument("--run_file", default="run.py", type=str, |
| help="File position of launcher file") |
| parser.add_argument("--job_dir", default="jobs/%j", type=str, |
| help="Directory to save the job logs") |
| parser.add_argument("--num_nodes", default=1, type=int, |
| help="Number of nodes to use in SLURM") |
| parser.add_argument("--gpu_per_node", default=2, type=int, |
| help="Number of gpus to use in each node") |
| parser.add_argument("--cpu_per_task", default=32, type=int, |
| help="Number of cpus to use for each gpu") |
| parser.add_argument("--qos", default="level0", type=str, |
| help="Qos of the job") |
| parser.add_argument("--partition", default="gpu", type=str, |
| help="Partition of the job") |
| parser.add_argument("--account", default="research", type=str, |
| help="Account of the job") |
| parser.add_argument("--mem_per_gpu", default=80, type=int, |
| help="Memory allocated for each gpu in GB") |
| parser.add_argument("--time", default=24, type=int, |
| help="Time allocated for the job in hours") |
| parser.add_argument("--port", default=1234, type=int, |
| help="Default port for distributed training") |
| parser.add_argument("--nodelist", default="", type=str, |
| help="Default node id for distributed training") |
|
|
| |
| parser.add_argument("--mixed_precision", default="no", type=str, |
| help="Mixed precision training, options (no | fp16 | bf16)") |
|
|
| |
| parser.add_argument("--config", default="configs/default.yaml", type=str, |
| help="Path to the config file") |
| parser.add_argument("opts", default=None, nargs=argparse.REMAINDER, |
| help="Additional options to change configureation") |
| return parser.parse_args() |
|
|
|
|
| def main(): |
| args = parse_args() |
| getattr(lu, f"{args.mode}_launch")(args) |
| print("launched") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
