diff --git a/ethosu/vela/model_reader.py b/ethosu/vela/model_reader.py
index f48645d..3b09436 100644
--- a/ethosu/vela/model_reader.py
+++ b/ethosu/vela/model_reader.py
@@ -1,4 +1,4 @@
-# Copyright (C) 2020 Arm Limited or its affiliates. All rights reserved.
+# Copyright (C) 2020-2021 Arm Limited or its affiliates. All rights reserved.
 #
 # SPDX-License-Identifier: Apache-2.0
 #
@@ -15,7 +15,9 @@
 # limitations under the License.
 # Description:
 # Dispatcher for reading a neural network model.
+from . import tflite_model_semantic
 from . import tflite_reader
+from . import tosa_model_semantic
 from . import tosa_reader
 from .errors import InputFileError
 from .nn_graph import NetworkType
@@ -39,16 +41,17 @@
             output_node_names = []
         if initialisation_nodes is None:
             initialisation_nodes = []
-        return (
-            tflite_reader.read_tflite(
-                fname,
-                options.batch_size,
-                feed_dict=feed_dict,
-                output_node_names=output_node_names,
-                initialisation_nodes=initialisation_nodes,
-            ),
-            NetworkType.TFLite,
+
+        nng = tflite_reader.read_tflite(
+            fname,
+            options.batch_size,
+            feed_dict=feed_dict,
+            output_node_names=output_node_names,
+            initialisation_nodes=initialisation_nodes,
         )
+        nng = tflite_model_semantic.tflite_semantic_checker(nng)
+
+        return (nng, NetworkType.TFLite)
     elif fname.endswith(".tosa"):
         if feed_dict is None:
             feed_dict = {}
@@ -57,15 +60,15 @@
         if initialisation_nodes is None:
             initialisation_nodes = []
 
-        return (
-            tosa_reader.read_tosa(
-                fname,
-                options.batch_size,
-                feed_dict=feed_dict,
-                output_node_names=output_node_names,
-                initialisation_nodes=initialisation_nodes,
-            ),
-            NetworkType.TOSA,
+        nng = tosa_reader.read_tosa(
+            fname,
+            options.batch_size,
+            feed_dict=feed_dict,
+            output_node_names=output_node_names,
+            initialisation_nodes=initialisation_nodes,
         )
+        nng = tosa_model_semantic.tosa_semantic_checker(nng)
+
+        return (nng, NetworkType.TOSA)
     else:
         raise InputFileError(fname, "Unsupported file extension. Only .tflite and .tosa files are supported")