Release 18.03
diff --git a/src/armnnTfParser/test/LocalResponseNormalization.cpp b/src/armnnTfParser/test/LocalResponseNormalization.cpp
new file mode 100644
index 0000000..a7c2bfe
--- /dev/null
+++ b/src/armnnTfParser/test/LocalResponseNormalization.cpp
@@ -0,0 +1,121 @@
+//
+// 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 LocalResponseNormalizationBaseFixture : public ParserPrototxtFixture<armnnTfParser::ITfParser>
+{
+ explicit LocalResponseNormalizationBaseFixture(float alpha, float beta, float bias)
+ {
+ std::string alphaString = std::to_string(alpha);
+ std::string betaString = std::to_string(beta);
+ std::string biasString = std::to_string(bias);
+
+ m_Prototext = "node {"
+ " name: \"Placeholder\""
+ " op: \"Placeholder\""
+ " attr {"
+ " key: \"dtype\""
+ " value {"
+ " type: DT_FLOAT"
+ " }"
+ " }"
+ " attr {"
+ " key: \"shape\""
+ " value {"
+ " shape {"
+ " unknown_rank: true"
+ " }"
+ " }"
+ " }"
+ "}"
+ "node {"
+ " name: \"LRN\""
+ " op: \"LRN\""
+ " input: \"Placeholder\""
+ " attr {"
+ " key: \"T\""
+ " value {"
+ " type: DT_FLOAT"
+ " }"
+ " }"
+ " attr {"
+ " key: \"alpha\""
+ " value {"
+ " f: ";
+ m_Prototext.append(alphaString);
+ m_Prototext.append("\n"
+ " }"
+ " }"
+ " attr {"
+ " key: \"beta\""
+ " value {"
+ " f: ");
+ m_Prototext.append(betaString);
+ m_Prototext.append("\n"
+ " }"
+ " }"
+ " attr {"
+ " key: \"bias\""
+ " value {"
+ " f: ");
+ m_Prototext.append(biasString);
+ m_Prototext.append("\n"
+ " }"
+ " }"
+ " attr {"
+ " key: \"depth_radius\""
+ " value {"
+ " i: 1"
+ " }"
+ " }"
+ "}");
+ }
+};
+
+
+struct LocalResponseNormalizationFixtureSimple : public LocalResponseNormalizationBaseFixture
+{
+ explicit LocalResponseNormalizationFixtureSimple()
+ : LocalResponseNormalizationBaseFixture(1.0f, 1.0f, 1.0f)
+ {
+ SetupSingleInputSingleOutput({ 2, 2, 2, 1 }, "Placeholder", "LRN");
+ }
+};
+BOOST_FIXTURE_TEST_CASE(ParseSimpleLocalResponseNormalization, LocalResponseNormalizationFixtureSimple)
+{
+ RunTest<4>({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f },
+ { 0.5f, 0.4f, 0.3f, 0.23529412f, 0.1923077f, 0.16216217f, 0.14f, 0.12307692f });
+}
+
+
+struct LocalResponseNormalizationFixture : public LocalResponseNormalizationBaseFixture
+{
+ explicit LocalResponseNormalizationFixture()
+ : LocalResponseNormalizationBaseFixture(0.5f, 1.0f, 0.5f)
+ {
+ SetupSingleInputSingleOutput({1, 3, 3, 2}, "Placeholder", "LRN");
+ }
+};
+BOOST_FIXTURE_TEST_CASE(ParseLocalResponseNormalization, LocalResponseNormalizationFixture)
+{
+ RunTest<4>({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f,
+ 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f,
+ 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f},
+
+ {0.333333340f, 0.66666670f, 0.230769250f, 0.307692320f, 0.161290320f, 0.19354838f,
+ 0.122807020f, 0.14035088f, 0.098901100f, 0.109890110f, 0.082706770f, 0.09022556f,
+ 0.071038246f, 0.07650273f, 0.062240668f, 0.066390045f, 0.055374593f, 0.05863192f});
+}
+
+
+
+
+BOOST_AUTO_TEST_SUITE_END()