Added ParseMean method to TfLiteParser

Change-Id: Idfedf82479fb3d4bb2962fc3cfc6c76e57331943

1 files changed, 99 insertions, 0 deletions

diff --git a/src/armnnTfLiteParser/test/Mean.cpp b/src/armnnTfLiteParser/test/Mean.cpp
new file mode 100644
index 0000000000..d7cb2a20f0
--- /dev/null
+++ b/src/armnnTfLiteParser/test/Mean.cpp
@@ -0,0 +1,99 @@
+//
+// Copyright © 2017 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 MeanNoReduceFixture : public ParserFlatbuffersFixture
+{
+    explicit MeanNoReduceFixture(const std::string & inputShape,
+                                 const std::string & outputShape,
+                                 const std::string & dimShape,
+                                 const std::string & dimData)
+    {
+        m_JsonString = R"(
+            {
+                "version": 3,
+                "operator_codes": [ { "builtin_code": "MEAN" } ],
+                "subgraphs": [ {
+                    "tensors": [
+                        {
+                            "shape": )" + inputShape + R"(,
+                            "type": "FLOAT32",
+                            "buffer": 0,
+                            "name": "inputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        },
+                        {
+                            "shape": )" + outputShape + R"( ,
+                            "type": "FLOAT32",
+                            "buffer": 1,
+                            "name": "outputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        },
+                        {
+                            "shape": )" + dimShape + R"( ,
+                            "type": "INT32",
+                            "buffer": 2,
+                            "name": "dimShape",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        }
+                    ],
+                    "inputs": [ 0 ],
+                    "outputs": [ 1 ],
+                    "operators": [
+                        {
+                            "opcode_index": 0,
+                            "inputs": [ 0 , 2 ],
+                            "outputs": [ 1 ],
+                            "custom_options_format": "FLEXBUFFERS"
+                        }
+                    ],
+                } ],
+                "buffers" : [
+                    { },
+                    { },
+                    { "data": )" + dimData + R"(, },
+                ]
+            }
+        )";
+        SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+    }
+};
+
+struct SimpleMeanNoReduceFixture : public MeanNoReduceFixture
+{
+    SimpleMeanNoReduceFixture() : MeanNoReduceFixture("[ 2, 2 ]", "[ 1, 1 ]", "[ 0 ]", "[ ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseMeanNoReduce, SimpleMeanNoReduceFixture)
+{
+    RunTest<2, float>(0, {{ "inputTensor", { 1.0f, 1.0f, 2.0f, 2.0f } } },
+                         {{ "outputTensor", { 1.5f } } });
+}
+
+BOOST_AUTO_TEST_SUITE_END()
+