339c0512c9faa6782cbd48464f6083e7611c0cba,onnxtf/backend.py,TensorflowBackend,run_node,#Any#Any#Any#Any#,109

Before Change

    output_vals = []
    with tf.Session() as sess:
      with tf.device(device_option):
        output_vals = map(sess.run, ops)
    return namedtupledict("Outputs", node.outputs)(*output_vals)

  @classmethod
  def _onnx_node_to_tensorflow_op(cls, node, input_dict):

After Change

      assert len(node.inputs) == len(inputs)
      feed_dict_raw = dict(zip(node.inputs, inputs))

    input_dict = dict([(x[0], tf.constant(x[1])) for x in \
                       feed_dict_raw.items()])
    ops = cls._onnx_node_to_tensorflow_op(node, input_dict)
    output_vals = []
    with tf.Session() as sess:
      with tf.device(device_option):
        output_vals = [sess.run(op) for op in ops]
    return namedtupledict("Outputs", node.outputs)(*output_vals)

  @classmethod
  def _onnx_node_to_tensorflow_op(cls, node, input_dict):

Instances