1 files changed, 119 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/AvgPool2D.cpp b/src/armnnTfLiteParser/test/AvgPool2D.cpp
new file mode 100644
index 0000000000..ba6d2ae40a
--- /dev/null
+++ b/src/armnnTfLiteParser/test/AvgPool2D.cpp
@@ -0,0 +1,119 @@
+//
+// 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 "armnnTfLiteParser/ITfLiteParser.hpp"
+#include "ParserFlatbuffersFixture.hpp"
+
+BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
+struct AvgPool2DFixture : public ParserFlatbuffersFixture
+{
+    explicit AvgPool2DFixture(std::string inputdim, std::string outputdim, std::string dataType)
+    {
+        m_JsonString = R"(
+        {
+            "version": 3,
+            "operator_codes": [ { "builtin_code": "AVERAGE_POOL_2D" } ],
+            "subgraphs": [
+            {
+                "tensors": [
+                {
+                    "shape": )"
+                    + outputdim
+                    + R"(,
+                    "type": )"
+                      + dataType
+                      + R"(,
+                            "buffer": 0,
+                            "name": "OutputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ]
+                            }
+                },
+                {
+                    "shape": )"
+                    + inputdim
+                    + R"(,
+                    "type": )"
+                      + dataType
+                      + R"(,
+                            "buffer": 1,
+                            "name": "InputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ]
+                            }
+                }
+                ],
+                "inputs": [ 1 ],
+                "outputs": [ 0 ],
+                "operators": [ {
+                        "opcode_index": 0,
+                        "inputs": [ 1 ],
+                        "outputs": [ 0 ],
+                        "builtin_options_type": "Pool2DOptions",
+                        "builtin_options":
+                        {
+                            "padding": "VALID",
+                            "stride_w": 2,
+                            "stride_h": 2,
+                            "filter_width": 2,
+                            "filter_height": 2,
+                            "fused_activation_function": "NONE"
+                        },
+                        "custom_options_format": "FLEXBUFFERS"
+                    } ]
+                }
+            ],
+            "description": "AvgPool2D test.",
+            "buffers" : [ {}, {} ]
+        })";
+
+        SetupSingleInputSingleOutput("InputTensor", "OutputTensor");
+    }
+};
+
+
+struct AvgPoolLiteFixtureUint1DOutput : AvgPool2DFixture
+{
+    AvgPoolLiteFixtureUint1DOutput() : AvgPool2DFixture("[ 1, 2, 2, 1 ]", "[ 1, 1, 1, 1 ]", "UINT8") {}
+};
+
+struct AvgPoolLiteFixtureFloat1DOutput : AvgPool2DFixture
+{
+    AvgPoolLiteFixtureFloat1DOutput() : AvgPool2DFixture("[ 1, 2, 2, 1 ]", "[ 1, 1, 1, 1 ]", "FLOAT32") {}
+};
+
+struct AvgPoolLiteFixture2DOutput : AvgPool2DFixture
+{
+    AvgPoolLiteFixture2DOutput() : AvgPool2DFixture("[ 1, 4, 4, 1 ]", "[ 1, 2, 2, 1 ]", "UINT8") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(AvgPoolLite1DOutput, AvgPoolLiteFixtureUint1DOutput)
+{
+    RunTest<4, uint8_t>(0, {2, 3, 5, 2 }, { 3 });
+}
+
+BOOST_FIXTURE_TEST_CASE(AvgPoolLiteFloat1DOutput, AvgPoolLiteFixtureFloat1DOutput)
+{
+    RunTest<4, float>(0, { 2.0f, 3.0f, 5.0f, 2.0f },  { 3.0f });
+}
+
+BOOST_FIXTURE_TEST_CASE(AvgPoolLite2DOutput, AvgPoolLiteFixture2DOutput)
+{
+    RunTest<4, uint8_t>(0, { 1, 2, 2, 3, 5, 6, 7, 8, 3, 2, 1, 0, 1, 2, 3, 4 }, { 4, 5, 2, 2 });
+}
+
+BOOST_FIXTURE_TEST_CASE(IncorrectDataTypeError, AvgPoolLiteFixtureFloat1DOutput)
+{
+    BOOST_CHECK_THROW((RunTest<4, uint8_t>(0, {2, 3, 5, 2 }, { 3 })), armnn::Exception);
+}
+
+BOOST_AUTO_TEST_SUITE_END()