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# 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 | |