problem with making batch inference with converted graph

[dshawul]

There is a problem in the k2tf_convert.py file with aliasing the output nodes. The following line
pred[i] = tf.identity(net_model.output[i], name=pred_node_names[i])
should be
pred[i] = tf.identity(net_model.outputs[i], name=pred_node_names[i])

I have wasted days wondering why I am not able to make batch inference with the converted graph and this turned out to be the reason. The output shape did not have a [None] index that allows it to do multiple outtputs.