old_contents: # Copyright The PyTorch Lightning team.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  import os
  import warnings
  from functools import wraps
  
  from pytorch_lightning import _logger as log
  
  
  def rank_zero_only(fn):
  
      @wraps(fn)
      def wrapped_fn(*args, **kwargs):
          if rank_zero_only.rank == 0:
              return fn(*args, **kwargs)
  
      return wrapped_fn
  
  
  # add the attribute to the function but don't overwrite in case Trainer has already set it
  rank_zero_only.rank = getattr(rank_zero_only, 'rank', int(os.environ.get('LOCAL_RANK', 0)))
  
  
  def _warn(*args, **kwargs):
      warnings.warn(*args, **kwargs)
  
  
  def _info(*args, **kwargs):
      log.info(*args, **kwargs)
  
  
  def _debug(*args, **kwargs):
      log.info(*args, **kwargs)
  
  
  rank_zero_debug = rank_zero_only(_debug)
  rank_zero_info = rank_zero_only(_info)
  rank_zero_warn = rank_zero_only(_warn)
  
  
  def find_free_network_port() -> int:
      """
      Finds a free port on localhost.
      It is useful in single-node training when we don't want to connect to a real master node but
      have to set the `MASTER_PORT` environment variable.
      """
      import socket
      s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
      s.bind(("", 0))
      s.listen(1)
      port = s.getsockname()[1]
      s.close()
      return port
  
new_contents: # Copyright The PyTorch Lightning team.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  import os
  import warnings
  from functools import wraps
  
  from pytorch_lightning import _logger as log
  
  
  def rank_zero_only(fn):
  
      @wraps(fn)
      def wrapped_fn(*args, **kwargs):
          if rank_zero_only.rank == 0:
              return fn(*args, **kwargs)
  
      return wrapped_fn
  
  
  # add the attribute to the function but don't overwrite in case Trainer has already set it
  rank_zero_only.rank = getattr(rank_zero_only, 'rank', int(os.environ.get('LOCAL_RANK', 0)))
  
  
  def _warn(*args, **kwargs):
      warnings.warn(*args, **kwargs)
  
  
  def _info(*args, **kwargs):
      log.info(*args, **kwargs)
  
  
  def _debug(*args, **kwargs):
      log.debug(*args, **kwargs)
  
  
  rank_zero_debug = rank_zero_only(_debug)
  rank_zero_info = rank_zero_only(_info)
  rank_zero_warn = rank_zero_only(_warn)
  
  
  def find_free_network_port() -> int:
      """
      Finds a free port on localhost.
      It is useful in single-node training when we don't want to connect to a real master node but
      have to set the `MASTER_PORT` environment variable.
      """
      import socket
      s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
      s.bind(("", 0))
      s.listen(1)
      port = s.getsockname()[1]
      s.close()
      return port
  
subject: Fix log debug call (#3528)