IVGCVSW-2681 Serialize/de-serialize the BatchNormalization layer

Change-Id: I418c4465366742262fb6e6c1eeba76c634beaeb5
Signed-off-by: ruoyan01 <ruomei.yan@arm.com>

1 files changed, 172 insertions, 0 deletions

diff --git a/src/armnnDeserializer/test/DeserializeBatchNormalization.cpp b/src/armnnDeserializer/test/DeserializeBatchNormalization.cpp
new file mode 100644
index 0000000000..3e1be6cf72
--- /dev/null
+++ b/src/armnnDeserializer/test/DeserializeBatchNormalization.cpp
@@ -0,0 +1,172 @@
+//
+// 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>
+#include <iostream>
+
+BOOST_AUTO_TEST_SUITE(Deserializer)
+
+struct BatchNormalizationFixture : public ParserFlatbuffersSerializeFixture
+{
+    explicit BatchNormalizationFixture(const std::string &inputShape,
+                                       const std::string &outputShape,
+                                       const std::string &meanShape,
+                                       const std::string &varianceShape,
+                                       const std::string &offsetShape,
+                                       const std::string &scaleShape,
+                                       const std::string &dataType,
+                                       const std::string &dataLayout)
+    {
+        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"(",
+                                quantizationScale: 0.5,
+                                quantizationOffset: 0
+                                },
+                            }]
+                        },
+                    }
+                },
+            },
+        {
+        layer_type: "BatchNormalizationLayer",
+        layer : {
+            base: {
+                index:1,
+                layerName: "BatchNormalizationLayer",
+                layerType: "BatchNormalization",
+                inputSlots: [{
+                        index: 0,
+                        connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                   }],
+                outputSlots: [{
+                    index: 0,
+                    tensorInfo: {
+                        dimensions: )" + outputShape + R"(,
+                        dataType: ")" + dataType + R"("
+                    },
+                    }],
+                },
+            descriptor: {
+                eps: 0.0010000000475,
+                dataLayout: ")" + dataLayout + R"("
+                },
+            mean: {
+                info: {
+                         dimensions: )" + meanShape + R"(,
+                         dataType: ")" + dataType + R"("
+                     },
+                data_type: IntData,
+                data: {
+                    data: [1084227584],
+                    }
+                },
+            variance: {
+                info: {
+                         dimensions: )" + varianceShape + R"(,
+                         dataType: ")" + dataType + R"("
+                     },
+               data_type: IntData,
+                data: {
+                    data: [1073741824],
+                    }
+                },
+            beta: {
+                info: {
+                         dimensions: )" + offsetShape + R"(,
+                         dataType: ")" + dataType + R"("
+                     },
+                data_type: IntData,
+                data: {
+                    data: [0],
+                    }
+                },
+            gamma: {
+                info: {
+                         dimensions: )" + scaleShape + R"(,
+                         dataType: ")" + dataType + R"("
+                     },
+                data_type: IntData,
+                data: {
+                    data: [1065353216],
+                    }
+                },
+            },
+        },
+        {
+        layer_type: "OutputLayer",
+        layer: {
+            base:{
+                layerBindingId: 0,
+                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"("
+                        },
+                    }],
+                }
+            }},
+        }]
+    }
+)";
+        Setup();
+    }
+};
+
+struct BatchNormFixture : BatchNormalizationFixture
+{
+    BatchNormFixture():BatchNormalizationFixture("[ 1, 3, 3, 1 ]",
+                                                 "[ 1, 3, 3, 1 ]",
+                                                 "[ 1 ]",
+                                                 "[ 1 ]",
+                                                 "[ 1 ]",
+                                                 "[ 1 ]",
+                                                 "Float32",
+                                                 "NHWC"){}
+};
+
+BOOST_FIXTURE_TEST_CASE(BatchNormalizationFloat32, BatchNormFixture)
+{
+    RunTest<4, armnn::DataType::Float32>(0,
+                                         {{"InputLayer", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f }}},
+                                         {{"OutputLayer",{ -2.8277204f, -2.12079024f, -1.4138602f,
+                                           -0.7069301f,  0.0f,         0.7069301f,
+                                           1.4138602f,  2.12079024f,  2.8277204f }}});
+}
+
+BOOST_AUTO_TEST_SUITE_END()