Nina Drozd | 5772878 | 2019-02-27 10:53:27 +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 NormalizationFixture : public ParserFlatbuffersSerializeFixture |
| 16 | { |
| 17 | explicit NormalizationFixture(const std::string &inputShape, |
| 18 | const std::string & outputShape, |
| 19 | const std::string &dataType, |
| 20 | const std::string &normAlgorithmChannel, |
| 21 | const std::string &normAlgorithmMethod, |
| 22 | const std::string &dataLayout) |
| 23 | { |
| 24 | m_JsonString = R"( |
| 25 | { |
| 26 | inputIds: [0], |
| 27 | outputIds: [2], |
| 28 | layers: [{ |
| 29 | layer_type: "InputLayer", |
| 30 | layer: { |
| 31 | base: { |
| 32 | layerBindingId: 0, |
| 33 | base: { |
| 34 | index: 0, |
| 35 | layerName: "InputLayer", |
| 36 | layerType: "Input", |
| 37 | inputSlots: [{ |
| 38 | index: 0, |
| 39 | connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| 40 | }], |
| 41 | outputSlots: [{ |
| 42 | index: 0, |
| 43 | tensorInfo: { |
| 44 | dimensions: )" + inputShape + R"(, |
| 45 | dataType: )" + dataType + R"(, |
| 46 | quantizationScale: 0.5, |
| 47 | quantizationOffset: 0 |
| 48 | }, |
| 49 | }] |
| 50 | }, |
| 51 | } |
| 52 | }, |
| 53 | }, |
| 54 | { |
| 55 | layer_type: "NormalizationLayer", |
| 56 | layer : { |
| 57 | base: { |
| 58 | index:1, |
| 59 | layerName: "NormalizationLayer", |
| 60 | layerType: "Normalization", |
| 61 | inputSlots: [{ |
| 62 | index: 0, |
| 63 | connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| 64 | }], |
| 65 | outputSlots: [{ |
| 66 | index: 0, |
| 67 | tensorInfo: { |
| 68 | dimensions: )" + outputShape + R"(, |
| 69 | dataType: )" + dataType + R"( |
| 70 | }, |
| 71 | }], |
| 72 | }, |
| 73 | descriptor: { |
| 74 | normChannelType: )" + normAlgorithmChannel + R"(, |
| 75 | normMethodType: )" + normAlgorithmMethod + R"(, |
| 76 | normSize: 3, |
| 77 | alpha: 1, |
| 78 | beta: 1, |
| 79 | k: 1, |
| 80 | dataLayout: )" + dataLayout + R"( |
| 81 | } |
| 82 | }, |
| 83 | }, |
| 84 | { |
| 85 | layer_type: "OutputLayer", |
| 86 | layer: { |
| 87 | base:{ |
| 88 | layerBindingId: 0, |
| 89 | base: { |
| 90 | index: 2, |
| 91 | layerName: "OutputLayer", |
| 92 | layerType: "Output", |
| 93 | inputSlots: [{ |
| 94 | index: 0, |
| 95 | connection: {sourceLayerIndex:1, outputSlotIndex:0 }, |
| 96 | }], |
| 97 | outputSlots: [ { |
| 98 | index: 0, |
| 99 | tensorInfo: { |
| 100 | dimensions: )" + outputShape + R"(, |
| 101 | dataType: )" + dataType + R"( |
| 102 | }, |
| 103 | }], |
| 104 | } |
| 105 | }}, |
| 106 | }] |
| 107 | } |
| 108 | )"; |
| 109 | SetupSingleInputSingleOutput("InputLayer", "OutputLayer"); |
| 110 | } |
| 111 | }; |
| 112 | |
| 113 | struct FloatNhwcLocalBrightnessAcrossNormalizationFixture : NormalizationFixture |
| 114 | { |
| 115 | FloatNhwcLocalBrightnessAcrossNormalizationFixture() : NormalizationFixture("[ 2, 2, 2, 1 ]", "[ 2, 2, 2, 1 ]", |
| 116 | "Float32", "0", "0", "NHWC") {} |
| 117 | }; |
| 118 | |
| 119 | |
| 120 | BOOST_FIXTURE_TEST_CASE(Float32NormalizationNhwcDataLayout, FloatNhwcLocalBrightnessAcrossNormalizationFixture) |
| 121 | { |
| 122 | RunTest<4, armnn::DataType::Float32>(0, { 1.0f, 2.0f, 3.0f, 4.0f, |
| 123 | 5.0f, 6.0f, 7.0f, 8.0f }, |
| 124 | { 0.5f, 0.400000006f, 0.300000012f, 0.235294119f, |
| 125 | 0.192307696f, 0.16216217f, 0.140000001f, 0.123076923f }); |
| 126 | } |
| 127 | |
| 128 | struct FloatNchwLocalBrightnessWithinNormalizationFixture : NormalizationFixture |
| 129 | { |
| 130 | FloatNchwLocalBrightnessWithinNormalizationFixture() : NormalizationFixture("[ 2, 1, 2, 2 ]", "[ 2, 1, 2, 2 ]", |
| 131 | "Float32", "1", "0", "NCHW") {} |
| 132 | }; |
| 133 | |
| 134 | BOOST_FIXTURE_TEST_CASE(Float32NormalizationNchwDataLayout, FloatNchwLocalBrightnessWithinNormalizationFixture) |
| 135 | { |
| 136 | RunTest<4, armnn::DataType::Float32>(0, { 1.0f, 2.0f, 3.0f, 4.0f, |
| 137 | 5.0f, 6.0f, 7.0f, 8.0f }, |
| 138 | { 0.0322581f, 0.0645161f, 0.0967742f, 0.1290323f, |
| 139 | 0.0285714f, 0.0342857f, 0.04f, 0.0457143f }); |
| 140 | } |
| 141 | |
| 142 | |
| 143 | BOOST_AUTO_TEST_SUITE_END() |