054095d922edda5134e520522bc82a1b95cc5bd4,onnx_tf/backend_rep.py,TensorflowRep,run,#TensorflowRep#Any#,52

Before Change

    // TODO: handle name scope if necessary
    with self.graph.as_default():
      with tf.compat.v1.Session() as sess:
        if isinstance(inputs, dict):
          feed_dict = inputs
        elif isinstance(inputs, list) or isinstance(inputs, tuple):

After Change

      // single input
      feed_dict = dict([(self.inputs[0], inputs)])

    input_dict = dict(
        [(x[0], tf.constant(x[1])) for x in feed_dict.items()])

    output_values = self.tf_module(**input_dict)
    output_values = [val.numpy() if isinstance(val, tf.Tensor) else val for val in output_values]

    return namedtupledict("Outputs", self.outputs)(*output_values)

  def export_graph(self, path):

Instances