ruoyan01 | 8e7fa23 | 2019-02-28 15:09:07 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include <boost/test/unit_test.hpp> |
| 7 | #include "ParserFlatbuffersSerializeFixture.hpp" |
| 8 | #include "../Deserializer.hpp" |
| 9 | |
| 10 | #include <string> |
| 11 | #include <iostream> |
| 12 | |
| 13 | BOOST_AUTO_TEST_SUITE(Deserializer) |
| 14 | |
| 15 | struct BatchNormalizationFixture : public ParserFlatbuffersSerializeFixture |
| 16 | { |
| 17 | explicit BatchNormalizationFixture(const std::string &inputShape, |
| 18 | const std::string &outputShape, |
| 19 | const std::string &meanShape, |
| 20 | const std::string &varianceShape, |
| 21 | const std::string &offsetShape, |
| 22 | const std::string &scaleShape, |
| 23 | const std::string &dataType, |
| 24 | const std::string &dataLayout) |
| 25 | { |
| 26 | m_JsonString = R"( |
| 27 | { |
| 28 | inputIds: [0], |
| 29 | outputIds: [2], |
| 30 | layers: [ |
| 31 | { |
| 32 | layer_type: "InputLayer", |
| 33 | layer: { |
| 34 | base: { |
| 35 | layerBindingId: 0, |
| 36 | base: { |
| 37 | index: 0, |
| 38 | layerName: "InputLayer", |
| 39 | layerType: "Input", |
| 40 | inputSlots: [{ |
| 41 | index: 0, |
| 42 | connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| 43 | }], |
| 44 | outputSlots: [{ |
| 45 | index: 0, |
| 46 | tensorInfo: { |
| 47 | dimensions: )" + inputShape + R"(, |
| 48 | dataType: ")" + dataType + R"(", |
| 49 | quantizationScale: 0.5, |
| 50 | quantizationOffset: 0 |
| 51 | }, |
| 52 | }] |
| 53 | }, |
| 54 | } |
| 55 | }, |
| 56 | }, |
| 57 | { |
| 58 | layer_type: "BatchNormalizationLayer", |
| 59 | layer : { |
| 60 | base: { |
| 61 | index:1, |
| 62 | layerName: "BatchNormalizationLayer", |
| 63 | layerType: "BatchNormalization", |
| 64 | inputSlots: [{ |
| 65 | index: 0, |
| 66 | connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| 67 | }], |
| 68 | outputSlots: [{ |
| 69 | index: 0, |
| 70 | tensorInfo: { |
| 71 | dimensions: )" + outputShape + R"(, |
| 72 | dataType: ")" + dataType + R"(" |
| 73 | }, |
| 74 | }], |
| 75 | }, |
| 76 | descriptor: { |
| 77 | eps: 0.0010000000475, |
| 78 | dataLayout: ")" + dataLayout + R"(" |
| 79 | }, |
| 80 | mean: { |
| 81 | info: { |
| 82 | dimensions: )" + meanShape + R"(, |
| 83 | dataType: ")" + dataType + R"(" |
| 84 | }, |
| 85 | data_type: IntData, |
| 86 | data: { |
| 87 | data: [1084227584], |
| 88 | } |
| 89 | }, |
| 90 | variance: { |
| 91 | info: { |
| 92 | dimensions: )" + varianceShape + R"(, |
| 93 | dataType: ")" + dataType + R"(" |
| 94 | }, |
| 95 | data_type: IntData, |
| 96 | data: { |
| 97 | data: [1073741824], |
| 98 | } |
| 99 | }, |
| 100 | beta: { |
| 101 | info: { |
| 102 | dimensions: )" + offsetShape + R"(, |
| 103 | dataType: ")" + dataType + R"(" |
| 104 | }, |
| 105 | data_type: IntData, |
| 106 | data: { |
| 107 | data: [0], |
| 108 | } |
| 109 | }, |
| 110 | gamma: { |
| 111 | info: { |
| 112 | dimensions: )" + scaleShape + R"(, |
| 113 | dataType: ")" + dataType + R"(" |
| 114 | }, |
| 115 | data_type: IntData, |
| 116 | data: { |
| 117 | data: [1065353216], |
| 118 | } |
| 119 | }, |
| 120 | }, |
| 121 | }, |
| 122 | { |
| 123 | layer_type: "OutputLayer", |
| 124 | layer: { |
| 125 | base:{ |
| 126 | layerBindingId: 0, |
| 127 | base: { |
| 128 | index: 2, |
| 129 | layerName: "OutputLayer", |
| 130 | layerType: "Output", |
| 131 | inputSlots: [{ |
| 132 | index: 0, |
| 133 | connection: {sourceLayerIndex:1, outputSlotIndex:0 }, |
| 134 | }], |
| 135 | outputSlots: [ { |
| 136 | index: 0, |
| 137 | tensorInfo: { |
| 138 | dimensions: )" + outputShape + R"(, |
| 139 | dataType: ")" + dataType + R"(" |
| 140 | }, |
| 141 | }], |
| 142 | } |
| 143 | }}, |
| 144 | }] |
| 145 | } |
| 146 | )"; |
| 147 | Setup(); |
| 148 | } |
| 149 | }; |
| 150 | |
| 151 | struct BatchNormFixture : BatchNormalizationFixture |
| 152 | { |
| 153 | BatchNormFixture():BatchNormalizationFixture("[ 1, 3, 3, 1 ]", |
| 154 | "[ 1, 3, 3, 1 ]", |
| 155 | "[ 1 ]", |
| 156 | "[ 1 ]", |
| 157 | "[ 1 ]", |
| 158 | "[ 1 ]", |
| 159 | "Float32", |
| 160 | "NHWC"){} |
| 161 | }; |
| 162 | |
| 163 | BOOST_FIXTURE_TEST_CASE(BatchNormalizationFloat32, BatchNormFixture) |
| 164 | { |
| 165 | RunTest<4, armnn::DataType::Float32>(0, |
| 166 | {{"InputLayer", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f }}}, |
| 167 | {{"OutputLayer",{ -2.8277204f, -2.12079024f, -1.4138602f, |
| 168 | -0.7069301f, 0.0f, 0.7069301f, |
| 169 | 1.4138602f, 2.12079024f, 2.8277204f }}}); |
| 170 | } |
| 171 | |
| 172 | BOOST_AUTO_TEST_SUITE_END() |