(x,
                is_training,
                weight_decay,
                params=None,
                moments=None,
                reuse=tf.AUTO_REUSE,
                scope='wide_resnet',
                backprop_through_moments=True,
                use_bounded_activation=False,
                keep_spatial_dims=False)
return _wide_resnet(
      x,
      is_training,
      scope,
      2,
      2,
      weight_decay,
      reuse=reuse,
      params=params,
      moments=moments,
      backprop_through_moments=backprop_through_moments,
      use_bounded_activation=use_bounded_activation,
      keep_spatial_dims=keep_spatial_dims)
A WideResNet embedding function.
A WideResNet embedding function.
A WideResNet embedding function .
def wide_resnet(x,
                is_training,
                weight_decay,
                params=None,
                moments=None,
                reuse=tf.AUTO_REUSE,
                scope='wide_resnet',
                backprop_through_moments=True,
                use_bounded_activation=False,
                keep_spatial_dims=False):
  """A WideResNet embedding function."""
  return _wide_resnet(
      x,
      is_training,
      scope,
      2,
      2,
      weight_decay,
      reuse=reuse,
      params=params,
      moments=moments,
      backprop_through_moments=backprop_through_moments,
      use_bounded_activation=use_bounded_activation,
      keep_spatial_dims=keep_spatial_dims)
def wide_resnet ( x , is_training , weight_decay , params = None , moments = None , reuse = tf . AUTO_REUSE , scope = 'wide_resnet' , backprop_through_moments = True , use_bounded_activation = False , keep_spatial_dims = False ) : return _wide_resnet ( x , is_training , scope , 2 , 2 , weight_decay , reuse = reuse , params = params , moments = moments , backprop_through_moments = backprop_through_moments , use_bounded_activation = use_bounded_activation , keep_spatial_dims = keep_spatial_dims )