_ff.py 文件源码

def build_output(self, inputs, inferences):
    scores = tf.nn.softmax(inferences, name='scores')
    tf.add_to_collection('outputs', scores)

    with tf.name_scope('labels'):
      label_indices = tf.arg_max(inferences, 1, name='arg_max')
      labels = self.classification.output_labels(label_indices)
      tf.add_to_collection('outputs', labels)

    keys = self.classification.keys(inputs)
    if keys:
      # Key feature, if it exists, is a passthrough to the output.
      # The use of identity is to name the tensor and correspondingly the output field.
      keys = tf.identity(keys, name='key')
      tf.add_to_collection('outputs', keys)

    return {
      'label': labels,
      'score': scores
    }