IVGCVSW-1651 Add Support for Relu on TF Lite parser

 * Added Relu and Relu6 Support for the TfLite Parser.

Change-Id: I3cc5e4922910e556f25b633eae6d2d361cea61b5

1 files changed, 87 insertions, 0 deletions

diff --git a/src/armnnTfLiteParser/test/Activations.cpp b/src/armnnTfLiteParser/test/Activations.cpp
new file mode 100644
index 0000000000..a30d46408c
--- /dev/null
+++ b/src/armnnTfLiteParser/test/Activations.cpp
@@ -0,0 +1,87 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersFixture.hpp"
+#include "../TfLiteParser.hpp"
+
+BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
+struct ActivationFixture : ParserFlatbuffersFixture
+{
+
+    explicit ActivationFixture(std::string activationFunction, std::string dataType)
+    {
+        m_JsonString = R"(
+            {
+                "version": 3,
+                "operator_codes": [ { "builtin_code": )" + activationFunction + R"( } ],
+                "subgraphs": [ {
+                    "tensors": [
+                        {
+                            "shape": [ 1, 7 ],
+                            "type": )" + dataType + R"(,
+                            "buffer": 0,
+                            "name": "inputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        },
+                        {
+                            "shape": [ 1, 7 ],
+                            "type": )" + dataType + R"(,
+                            "buffer": 1,
+                            "name": "outputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        }
+                    ],
+                    "inputs": [ 0 ],
+                    "outputs": [ 1 ],
+                    "operators": [
+                        {
+                          "opcode_index": 0,
+                          "inputs": [ 0 ],
+                          "outputs": [ 1 ],
+                          "custom_options_format": "FLEXBUFFERS"
+                        }
+                    ],
+                } ],
+                "buffers" : [ {}, {} ]
+            }
+        )";
+        SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+    }
+
+};
+
+struct ReLuFixture : ActivationFixture
+{
+    ReLuFixture() : ActivationFixture("RELU", "FLOAT32") {}
+};
+BOOST_FIXTURE_TEST_CASE(ParseReLu, ReLuFixture)
+{
+    RunTest<2, float>(0, { -1.0f, -0.5f, 1.25f, -3.0f, 0.0f, 0.5f, -0.75f },
+                      { 0.0f, 0.0f, 1.25f, 0.0f, 0.0f, 0.5f, 0.0f });
+}
+
+struct ReLu6Fixture : ActivationFixture
+{
+    ReLu6Fixture() : ActivationFixture("RELU6", "FLOAT32") {}
+};
+BOOST_FIXTURE_TEST_CASE(ParseReLu6, ReLu6Fixture)
+{
+    RunTest<2, float>(0, { -1.0f, -0.5f, 7.25f, -3.0f, 0.0f, 0.5f, -0.75f },
+                      { 0.0f, 0.0f, 6.0f, 0.0f, 0.0f, 0.5f, 0.0f });
+}
+
+BOOST_AUTO_TEST_SUITE_END()