from absl import flags
from official.utils.flags._conventions import help_wrap


def define_image(data_format=True):
    key_flags = []
    if data_format:
        flags.DEFINE_enum(
            name="data_format",
            short_name="df", default=None,
            # 代表图像的通道维的位置
            enum_values=['channels_first', 'channel_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

11dcc8ac66631c334ef353ba6e1cd588a86efa7d
<mask token>

<mask token>


def define_image(data_format=True):
    key_flags = []
    if data_format:
        flags.DEFINE_enum(name='data_format', short_name='df', default=None,
            enum_values=['channels_first', 'channel_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

from absl import flags
from official.utils.flags._conventions import help_wrap


def define_image(data_format=True):
    key_flags = []
    if data_format:
        flags.DEFINE_enum(name='data_format', short_name='df', default=None,
            enum_values=['channels_first', 'channel_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

from absl import flags
from official.utils.flags._conventions import help_wrap


def define_image(data_format=True):
    key_flags = []
    if data_format:
        flags.DEFINE_enum(
            name="data_format",
            short_name="df", default=None,
            # 代表图像的通道维的位置
            enum_values=['channels_first', 'channel_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
