Release 18.03
diff --git a/src/armnnTfParser/test/FusedBatchNorm.cpp b/src/armnnTfParser/test/FusedBatchNorm.cpp
new file mode 100644
index 0000000..632d5f0
--- /dev/null
+++ b/src/armnnTfParser/test/FusedBatchNorm.cpp
@@ -0,0 +1,175 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include <boost/test/unit_test.hpp>
+#include "armnnTfParser/ITfParser.hpp"
+#include "ParserPrototxtFixture.hpp"
+
+BOOST_AUTO_TEST_SUITE(TensorflowParser)
+
+struct FusedBatchNormFixture : public ParserPrototxtFixture<armnnTfParser::ITfParser>
+{
+ FusedBatchNormFixture()
+ {
+ m_Prototext = "node { \n"
+ " name: \"graphInput\" \n"
+ " op: \"Placeholder\" \n"
+ " attr { \n"
+ " key: \"dtype\" \n"
+ " value { \n"
+ " type: DT_FLOAT \n"
+ " } \n"
+ " } \n"
+ " attr { \n"
+ " key: \"shape\" \n"
+ " value { \n"
+ " shape { \n"
+ " } \n"
+ " } \n"
+ " } \n"
+ "} \n"
+ "node { \n"
+ " name: \"Const_1\" \n"
+ " op: \"Const\" \n"
+ " attr { \n"
+ " key: \"dtype\" \n"
+ " value { \n"
+ " type: DT_FLOAT \n"
+ " } \n"
+ " } \n"
+ " attr { \n"
+ " key: \"value\" \n"
+ " value { \n"
+ " tensor { \n"
+ " dtype: DT_FLOAT \n"
+ " tensor_shape { \n"
+ " dim { \n"
+ " size: 1 \n"
+ " } \n"
+ " } \n"
+ " float_val: 1.0 \n"
+ " } \n"
+ " } \n"
+ " } \n"
+ "} \n"
+ "node { \n"
+ " name: \"Const_2\" \n"
+ " op: \"Const\" \n"
+ " attr { \n"
+ " key: \"dtype\" \n"
+ " value { \n"
+ " type: DT_FLOAT \n"
+ " } \n"
+ " } \n"
+ " attr { \n"
+ " key: \"value\" \n"
+ " value { \n"
+ " tensor { \n"
+ " dtype: DT_FLOAT \n"
+ " tensor_shape { \n"
+ " dim { \n"
+ " size: 1 \n"
+ " } \n"
+ " } \n"
+ " float_val: 0.0 \n"
+ " } \n"
+ " } \n"
+ " } \n"
+ "} \n"
+ "node { \n"
+ " name: \"FusedBatchNormLayer/mean\" \n"
+ " op: \"Const\" \n"
+ " attr { \n"
+ " key: \"dtype\" \n"
+ " value { \n"
+ " type: DT_FLOAT \n"
+ " } \n"
+ " } \n"
+ " attr { \n"
+ " key: \"value\" \n"
+ " value { \n"
+ " tensor { \n"
+ " dtype: DT_FLOAT \n"
+ " tensor_shape { \n"
+ " dim { \n"
+ " size: 1 \n"
+ " } \n"
+ " } \n"
+ " float_val: 5.0 \n"
+ " } \n"
+ " } \n"
+ " } \n"
+ "} \n"
+ "node { \n"
+ " name: \"FusedBatchNormLayer/variance\" \n"
+ " op: \"Const\" \n"
+ " attr { \n"
+ " key: \"dtype\" \n"
+ " value { \n"
+ " type: DT_FLOAT \n"
+ " } \n"
+ " } \n"
+ " attr { \n"
+ " key: \"value\" \n"
+ " value { \n"
+ " tensor { \n"
+ " dtype: DT_FLOAT \n"
+ " tensor_shape { \n"
+ " dim { \n"
+ " size: 1 \n"
+ " } \n"
+ " } \n"
+ " float_val: 2.0 \n"
+ " } \n"
+ " } \n"
+ " } \n"
+ "} \n"
+ "node { \n"
+ " name: \"output\" \n"
+ " op: \"FusedBatchNorm\" \n"
+ " input: \"graphInput\" \n"
+ " input: \"Const_1\" \n"
+ " input: \"Const_2\" \n"
+ " input: \"FusedBatchNormLayer/mean\" \n"
+ " input: \"FusedBatchNormLayer/variance\" \n"
+ " attr { \n"
+ " key: \"T\" \n"
+ " value { \n"
+ " type: DT_FLOAT \n"
+ " } \n"
+ " } \n"
+ " attr { \n"
+ " key: \"data_format\" \n"
+ " value { \n"
+ " s: \"NHWC\" \n"
+ " } \n"
+ " } \n"
+ " attr { \n"
+ " key: \"epsilon\" \n"
+ " value { \n"
+ " f: 0.0010000000475 \n"
+ " } \n"
+ " } \n"
+ " attr { \n"
+ " key: \"is_training\" \n"
+ " value { \n"
+ " b: false \n"
+ " } \n"
+ " } \n"
+ "} \n";
+
+ SetupSingleInputSingleOutput({1, 3, 3, 1}, "graphInput", "output");
+ }
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseFusedBatchNorm, FusedBatchNormFixture)
+{
+ RunTest<4>({1, 2, 3, 4, 5, 6, 7, 8, 9}, // input data
+ {-2.8277204f, -2.12079024f, -1.4138602f,
+ -0.7069301f, 0.0f, 0.7069301f,
+ 1.4138602f, 2.12079024f, 2.8277204f}); // expected output data
+}
+
+BOOST_AUTO_TEST_SUITE_END()