66 lines
1.7 KiB
Python
66 lines
1.7 KiB
Python
# Copyright The PyTorch Lightning team.
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#
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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 warnings
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from functools import wraps
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from pytorch_lightning import _logger as log
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def rank_zero_only(fn):
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@wraps(fn)
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def wrapped_fn(*args, **kwargs):
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if rank_zero_only.rank == 0:
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return fn(*args, **kwargs)
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return wrapped_fn
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# add the attribute to the function but don't overwrite in case Trainer has already set it
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rank_zero_only.rank = getattr(rank_zero_only, 'rank', int(os.environ.get('LOCAL_RANK', 0)))
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def _warn(*args, **kwargs):
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warnings.warn(*args, **kwargs)
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def _info(*args, **kwargs):
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log.info(*args, **kwargs)
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def _debug(*args, **kwargs):
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log.debug(*args, **kwargs)
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rank_zero_debug = rank_zero_only(_debug)
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rank_zero_info = rank_zero_only(_info)
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rank_zero_warn = rank_zero_only(_warn)
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def find_free_network_port() -> int:
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"""
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Finds a free port on localhost.
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It is useful in single-node training when we don't want to connect to a real master node but
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have to set the `MASTER_PORT` environment variable.
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"""
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import socket
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s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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s.bind(("", 0))
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s.listen(1)
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port = s.getsockname()[1]
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s.close()
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return port
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