1 files changed, 129 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializePad.cpp b/src/armnnDeserializer/test/DeserializePad.cpp
new file mode 100644
index 0000000000..b18710a381
--- /dev/null
+++ b/src/armnnDeserializer/test/DeserializePad.cpp
@@ -0,0 +1,129 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersSerializeFixture.hpp"
+#include "../Deserializer.hpp"
+
+#include <string>
+
+BOOST_AUTO_TEST_SUITE(Deserializer)
+
+struct PadFixture : public ParserFlatbuffersSerializeFixture
+{
+    explicit PadFixture(const std::string &inputShape,
+                        const std::string &padList,
+                        const std::string &outputShape,
+                        const std::string &dataType)
+    {
+        m_JsonString = R"(
+            {
+                inputIds: [0],
+                outputIds: [2],
+                layers: [
+                    {
+                        layer_type: "InputLayer",
+                        layer: {
+                            base: {
+                                layerBindingId: 0,
+                                base: {
+                                    index: 0,
+                                    layerName: "InputLayer",
+                                    layerType: "Input",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [{
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + inputShape + R"(,
+                                            dataType: )" + dataType + R"(
+                                        }
+                                    }]
+                                }
+                            }
+                        }
+                    },
+                    {
+                        layer_type: "PadLayer",
+                        layer: {
+                            base: {
+                                index: 1,
+                                layerName: "PadLayer",
+                                layerType: "Pad",
+                                inputSlots: [{
+                                    index: 0,
+                                    connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                }],
+                                outputSlots: [{
+                                    index: 0,
+                                    tensorInfo: {
+                                        dimensions: )" + outputShape + R"(,
+                                        dataType: )" + dataType + R"(
+                                    }
+                                }]
+                            },
+                            descriptor: {
+                                padList: )" + padList + R"(,
+                            }
+                        }
+                    },
+                    {
+                        layer_type: "OutputLayer",
+                        layer: {
+                            base:{
+                                layerBindingId: 2,
+                                base: {
+                                    index: 2,
+                                    layerName: "OutputLayer",
+                                    layerType: "Output",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:1, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [{
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + outputShape + R"(,
+                                            dataType: )" + dataType + R"(
+                                        },
+                                    }],
+                                }
+                            }
+                        },
+                    }
+                ]
+            }
+        )";
+        SetupSingleInputSingleOutput("InputLayer", "OutputLayer");
+    }
+};
+
+struct SimplePadFixture : PadFixture
+{
+    SimplePadFixture() : PadFixture("[ 2, 2, 2 ]",
+                                    "[ 0, 1, 2, 1, 2, 2 ]",
+                                    "[ 3, 5, 6 ]",
+                                    "QuantisedAsymm8") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(SimplePadQuantisedAsymm8, SimplePadFixture)
+{
+    RunTest<3, armnn::DataType::QuantisedAsymm8>(0,
+                                                 {
+                                                    0, 4, 2, 5, 6, 1, 5, 2
+                                                 },
+                                                 {
+                                                    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
+                                                    4, 0, 0, 0, 0, 2, 5, 0, 0, 0, 0, 0, 0, 0, 0,
+                                                    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6,
+                                                    1, 0, 0, 0, 0, 5, 2, 0, 0, 0, 0, 0, 0, 0, 0,
+                                                    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
+                                                    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
+                                                 });
+}
+
+BOOST_AUTO_TEST_SUITE_END()