(model)
return tf.string_join(
      [
          'Starting train step: current_image_id: ',
          tf.as_string(model.current_image_id), ', progress: ',
          tf.as_string(model.progress), ', num_blocks: {}'.format(
              model.num_blocks), ', batch_size: {}'.format(model.batch_size)
      ],
      name='status_message')
Makes a string `Tensor` of training status.
Makes a string `Tensor` of training status.
Makes a string Tensor of training status .
def make_status_message(model):
  """Makes a string `Tensor` of training status."""
  return tf.string_join(
      [
          'Starting train step: current_image_id: ',
          tf.as_string(model.current_image_id), ', progress: ',
          tf.as_string(model.progress), ', num_blocks: {}'.format(
              model.num_blocks), ', batch_size: {}'.format(model.batch_size)
      ],
      name='status_message')
def make_status_message ( model ) : return tf . string_join ( [ 'Starting train step: current_image_id: ' , tf . as_string ( model . current_image_id ) , ', progress: ' , tf . as_string ( model . progress ) , ', num_blocks: {}' . format ( model . num_blocks ) , ', batch_size: {}' . format ( model . batch_size ) ] , name = 'status_message' )