# Copyright 2023 The TensorFlow Authors. All Rights Reserved. # # 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. """Misc flags.""" from absl import flags from official.utils.flags._conventions import help_wrap def define_image(data_format=True): """Register image specific flags. Args: data_format: Create a flag to specify image axis convention. Returns: A list of flags for core.py to marks as key flags. """ key_flags = [] if data_format: flags.DEFINE_enum( name="data_format", short_name="df", default=None, enum_values=["channels_first", "channels_last"], help=help_wrap( "A flag to override the data format used in the model. " "channels_first provides a performance boost on GPU but is not " "always compatible with CPU. If left unspecified, the data format " "will be chosen automatically based on whether TensorFlow was " "built for CPU or GPU.")) key_flags.append("data_format") return key_flags