model.py 文件源码

def example_serving_input_fn(default_batch_size=None):
  """Build the serving inputs.

  Args:
    default_batch_size (int): Batch size for the tf.placeholder shape
  """
  feature_spec = {}
  for feat in CONTINUOUS_COLS:
    feature_spec[feat] = tf.FixedLenFeature(shape=[], dtype=tf.float32)

  for feat, _ in CATEGORICAL_COLS:
    feature_spec[feat] = tf.FixedLenFeature(shape=[], dtype=tf.string)

  example_bytestring = tf.placeholder(
      shape=[default_batch_size],
      dtype=tf.string,
  )
  feature_scalars = tf.parse_example(example_bytestring, feature_spec)
  features = {
      key: tf.expand_dims(tensor, -1)
      for key, tensor in feature_scalars.iteritems()
  }
  return features, {'example': example_bytestring}