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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
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