MLCE-347 'REDUCE_MIN, REDUCE_MAX, REDUCE_SUM Support'

* Added TfLiteParser support for REDUCE_MIN and REDUCE_MAX operators
* Added ACL workloads support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators
* Added TfLite Delegate support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators

Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I8085d59946bfd4ab78a59a61f899031ae53371a8
diff --git a/src/armnnTfLiteParser/test/Reduce.cpp b/src/armnnTfLiteParser/test/Reduce.cpp
new file mode 100644
index 0000000..622d54e
--- /dev/null
+++ b/src/armnnTfLiteParser/test/Reduce.cpp
@@ -0,0 +1,193 @@
+//
+// Copyright © 2021 Arm Ltd and Contributors. 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 ReduceMaxFixture : public ParserFlatbuffersFixture
+{
+    explicit ReduceMaxFixture(const std::string& inputShape,
+                              const std::string& outputShape,
+                              const std::string& axisShape,
+                              const std::string& axisData)
+    {
+        m_JsonString = R"(
+            {
+                "version": 3,
+                "operator_codes": [ { "builtin_code": "REDUCE_MAX" } ],
+                "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": )" + axisShape + R"( ,
+                            "type": "INT32",
+                            "buffer": 2,
+                            "name": "axis",
+                            "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 ],
+                            "builtin_options_type": "ReducerOptions",
+                            "builtin_options": {
+                              "keep_dims": true,
+                            },
+                            "custom_options_format": "FLEXBUFFERS"
+                        }
+                    ],
+                } ],
+                "buffers" : [
+                    { },
+                    { },
+                    { "data": )" + axisData + R"(, },
+                ]
+            }
+        )";
+        SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+    }
+};
+
+struct SimpleReduceMaxFixture : public ReduceMaxFixture
+{
+    SimpleReduceMaxFixture() : ReduceMaxFixture("[ 1, 1, 2, 3 ]", "[ 1, 1, 1, 3 ]", "[ 1 ]", "[ 2 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseReduceMax, SimpleReduceMaxFixture)
+{
+    RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>
+        (0, {{ "inputTensor",  { 1001.0f, 11.0f,   1003.0f,
+                                 10.0f,   1002.0f, 12.0f } } },
+            {{ "outputTensor", { 1001.0f, 1002.0f, 1003.0f } } });
+}
+
+struct ReduceMinFixture : public ParserFlatbuffersFixture
+{
+    explicit ReduceMinFixture(const std::string& inputShape,
+                              const std::string& outputShape,
+                              const std::string& axisShape,
+                              const std::string& axisData)
+    {
+        m_JsonString = R"(
+            {
+                "version": 3,
+                "operator_codes": [ { "builtin_code": "REDUCE_MIN" } ],
+                "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": )" + axisShape + R"( ,
+                            "type": "INT32",
+                            "buffer": 2,
+                            "name": "axis",
+                            "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 ],
+                            "builtin_options_type": "ReducerOptions",
+                            "builtin_options": {
+                              "keep_dims": true,
+                            },
+                            "custom_options_format": "FLEXBUFFERS"
+                        }
+                    ],
+                } ],
+                "buffers" : [
+                    { },
+                    { },
+                    { "data": )" + axisData + R"(, },
+                ]
+            }
+        )";
+        SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+    }
+};
+
+struct SimpleReduceMinFixture : public ReduceMinFixture
+{
+    SimpleReduceMinFixture() : ReduceMinFixture("[ 1, 1, 2, 3 ]", "[ 1, 1, 1, 3 ]", "[ 1 ]", "[ 2 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseReduceMin, SimpleReduceMinFixture)
+{
+    RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>
+        (0, {{ "inputTensor",  { 1001.0f, 11.0f,   1003.0f,
+                                 10.0f,   1002.0f, 12.0f } } },
+            {{ "outputTensor", { 10.0f, 11.0f, 12.0f } } });
+}
+
+BOOST_AUTO_TEST_SUITE_END()