1 files changed, 115 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/Div.cpp b/src/armnnTfLiteParser/test/Div.cpp
new file mode 100644
index 0000000000..f83e455a56
--- /dev/null
+++ b/src/armnnTfLiteParser/test/Div.cpp
@@ -0,0 +1,115 @@
+//
+// Copyright © 2020 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersFixture.hpp"
+#include "../TfLiteParser.hpp"
+
+#include <string>
+#include <iostream>
+
+BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
+struct DivFixture : public ParserFlatbuffersFixture
+{
+    explicit DivFixture(const std::string & inputShape1,
+                        const std::string & inputShape2,
+                        const std::string & outputShape,
+                        const std::string & activation="NONE")
+    {
+        m_JsonString = R"(
+            {
+                "version": 3,
+                "operator_codes": [ { "builtin_code": "DIV" } ],
+                "subgraphs": [ {
+                    "tensors": [
+                        {
+                            "shape": )" + inputShape1 + R"(,
+                            "type": "FLOAT32",
+                            "buffer": 0,
+                            "name": "inputTensor1",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        },
+                        {
+                            "shape": )" + inputShape2 + R"(,
+                            "type": "FLOAT32",
+                            "buffer": 1,
+                            "name": "inputTensor2",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        },
+                        {
+                            "shape": )" + outputShape + R"( ,
+                            "type": "FLOAT32",
+                            "buffer": 2,
+                            "name": "outputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        }
+                    ],
+                    "inputs": [ 0, 1 ],
+                    "outputs": [ 2 ],
+                    "operators": [
+                        {
+                            "opcode_index": 0,
+                            "inputs": [ 0, 1 ],
+                            "outputs": [ 2 ],
+                            "builtin_options_type": "DivOptions",
+                            "builtin_options": {
+                                "fused_activation_function": )" + activation + R"(
+                            },
+                            "custom_options_format": "FLEXBUFFERS"
+                        }
+                    ],
+                } ],
+                "buffers" : [
+                    { },
+                    { }
+                ]
+            }
+        )";
+        Setup();
+    }
+};
+
+struct SimpleDivFixture : public DivFixture
+{
+    SimpleDivFixture() : DivFixture("[ 1, 2, 2, 3 ]", "[ 1, 2, 2, 3 ]", "[ 1, 2, 2, 3 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseDiv, SimpleDivFixture)
+{
+    using armnn::DataType;
+    float Inf = std::numeric_limits<float>::infinity();
+    float NaN = std::numeric_limits<float>::quiet_NaN();
+
+    RunTest<4, DataType::Float32>(0, {{ "inputTensor1", { 0.0f,  1.0f,  2.0f,
+                                                          3.0f,  4.0f,  5.0f,
+                                                          6.0f,  7.0f,  8.0f,
+                                                          9.0f, 10.0f, -11.0f } },
+                                      { "inputTensor2", { 0.0f,  0.0f,  4.0f,
+                                                          3.0f,  40.0f,  5.0f,
+                                                          6.0f,  7.0f,  8.0f,
+                                                          9.0f,  10.0f,  11.0f} } },
+                                     {{ "outputTensor", { NaN,   Inf,  0.5f,
+                                                          1.0f,  0.1f, 1.0f,
+                                                          1.0f,  1.0f, 1.0f,
+                                                          1.0f,  1.0f, -1.0f } } });
+}
+
+BOOST_AUTO_TEST_SUITE_END()