chendl/compositional_test

1# Copyright 2020 The HuggingFace Team. All rights reserved.2#3# Licensed under the Apache License, Version 2.0 (the "License");4# you may not use this file except in compliance with the License.5# You may obtain a copy of the License at6#7#     http://www.apache.org/licenses/LICENSE-2.08#9# Unless required by applicable law or agreed to in writing, software10# distributed under the License is distributed on an "AS IS" BASIS,11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.12# See the License for the specific language governing permissions and13# limitations under the License.14"""15A simple launcher script for TPU training16 17Inspired by https://github.com/pytorch/pytorch/blob/master/torch/distributed/launch.py18 19::20    >>> python xla_spawn.py --num_cores=NUM_CORES_YOU_HAVE21               YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other22               arguments of your training script)23 24"""25 26 27import importlib28import sys29from argparse import REMAINDER, ArgumentParser30from pathlib import Path31 32import torch_xla.distributed.xla_multiprocessing as xmp33 34 35def parse_args():36    """37    Helper function parsing the command line options38    @retval ArgumentParser39    """40    parser = ArgumentParser(41        description=(42            "PyTorch TPU distributed training launch helper utility that will spawn up multiple distributed processes"43        )44    )45 46    # Optional arguments for the launch helper47    parser.add_argument("--num_cores", type=int, default=1, help="Number of TPU cores to use (1 or 8).")48 49    # positional50    parser.add_argument(51        "training_script",52        type=str,53        help=(54            "The full path to the single TPU training "55            "program/script to be launched in parallel, "56            "followed by all the arguments for the "57            "training script"58        ),59    )60 61    # rest from the training program62    parser.add_argument("training_script_args", nargs=REMAINDER)63 64    return parser.parse_args()65 66 67def main():68    args = parse_args()69 70    # Import training_script as a module.71    script_fpath = Path(args.training_script)72    sys.path.append(str(script_fpath.parent.resolve()))73    mod_name = script_fpath.stem74    mod = importlib.import_module(mod_name)75 76    # Patch sys.argv77    sys.argv = [args.training_script] + args.training_script_args + ["--tpu_num_cores", str(args.num_cores)]78 79    xmp.spawn(mod._mp_fn, args=(), nprocs=args.num_cores)80 81 82if __name__ == "__main__":83    main()84