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

Before Change

        }

        sess.run(tf.compat.v1.global_variables_initializer())
        outputs = [self.tensor_dict[output] for output in self.outputs]

        output_values = sess.run(outputs, feed_dict=feed_dict)
        return namedtupledict("Outputs", self.outputs)(*output_values)

  def export_graph(self, path):
    Export backend representation to a Tensorflow proto file.

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