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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 | |