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-rw-r--r--ethosu/vela/model_reader.py41
1 files changed, 22 insertions, 19 deletions
diff --git a/ethosu/vela/model_reader.py b/ethosu/vela/model_reader.py
index f48645d3..3b094361 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 @@ def read_model(fname, options, feed_dict=None, output_node_names=None, initialis
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 @@ def read_model(fname, options, feed_dict=None, output_node_names=None, initialis
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")