I’ve looked at the from_tensorflow.py tutorial, it imports the tensorflow model as below:

```
######################################################################
# Import model
# ------------
# Creates tensorflow graph definition from protobuf file.
with tf_compat_v1.gfile.GFile(model_path, "rb") as f:
graph_def = tf_compat_v1.GraphDef()
graph_def.ParseFromString(f.read())
graph = tf.import_graph_def(graph_def, name="")
# Call the utility to import the graph definition into default graph.
graph_def = tf_testing.ProcessGraphDefParam(graph_def)
# Add shapes to the graph.
with tf_compat_v1.Session() as sess:
graph_def = tf_testing.AddShapesToGraphDef(sess, "softmax")
```

According to tensorflow document, this is to port tensorflow1.x trained models to 2.x compatible. I’ve already got a natively trained 2.x model, how can I import it to TVM?