64 lines
2.6 KiB
Python
64 lines
2.6 KiB
Python
#!/usr/bin/env python3 -u
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# Copyright (c) 2017-present, Facebook, Inc.
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# All rights reserved.
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#
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# This source code is licensed under the license found in the LICENSE file in
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# the root directory of this source tree. An additional grant of patent rights
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# can be found in the PATENTS file in the same directory.
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#
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#-------------------------------------------------------------------------
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#
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# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import socket
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import subprocess
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from train import main as single_process_main
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from fairseq import distributed_utils, options
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def main(args):
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if args.distributed_init_method is None and args.distributed_port > 0:
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# We can determine the init method automatically for Slurm.
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node_list = os.environ.get('SLURM_JOB_NODELIST')
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if node_list is not None:
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try:
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hostnames = subprocess.check_output(['scontrol', 'show', 'hostnames', node_list])
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args.distributed_init_method = 'tcp://{host}:{port}'.format(
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host=hostnames.split()[0].decode('utf-8'),
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port=args.distributed_port)
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args.distributed_rank = int(os.environ.get('SLURM_PROCID'))
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args.device_id = int(os.environ.get('SLURM_LOCALID'))
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except subprocess.CalledProcessError as e: # scontrol failed
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raise e
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except FileNotFoundError as e: # Slurm is not installed
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pass
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if args.distributed_init_method is None:
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raise ValueError('--distributed-init-method or --distributed-port '
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'must be specified for distributed training')
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args.distributed_rank = distributed_utils.distributed_init(args)
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args.device_id = int(os.environ.get('LOCAL_RANK', args.local_rank))
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print('| initialized host {} as rank {} and device id {}'.format(socket.gethostname(), args.distributed_rank, args.device_id))
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single_process_main(args)
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if __name__ == '__main__':
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parser = options.get_training_parser()
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args = options.parse_args_and_arch(parser)
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main(args)
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