Teresa Charlin | 50de4fa | 2021-05-31 18:47:33 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ParserFlatbuffersSerializeFixture.hpp" |
| 7 | #include <armnnDeserializer/IDeserializer.hpp> |
| 8 | |
| 9 | #include <string> |
| 10 | |
| 11 | TEST_SUITE(Deserializer) |
| 12 | { |
| 13 | struct ElementwiseUnaryFixture : public ParserFlatbuffersSerializeFixture |
| 14 | { |
| 15 | explicit ElementwiseUnaryFixture(const std::string& inputShape, |
| 16 | const std::string& outputShape, |
| 17 | const std::string& dataType, |
| 18 | const std::string& unaryOperation = "Abs") |
| 19 | { |
| 20 | m_JsonString = R"( |
| 21 | { |
| 22 | inputIds: [0], |
| 23 | outputIds: [2], |
| 24 | layers: [ |
| 25 | { |
| 26 | layer_type: "InputLayer", |
| 27 | layer: { |
| 28 | base: { |
| 29 | layerBindingId: 0, |
| 30 | base: { |
| 31 | index: 0, |
| 32 | layerName: "InputLayer", |
| 33 | layerType: "Input", |
| 34 | inputSlots: [{ |
| 35 | index: 0, |
| 36 | connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| 37 | }], |
| 38 | outputSlots: [{ |
| 39 | index: 0, |
| 40 | tensorInfo: { |
| 41 | dimensions: )" + inputShape + R"(, |
| 42 | dataType: )" + dataType + R"( |
| 43 | } |
| 44 | }] |
| 45 | } |
| 46 | } |
| 47 | } |
| 48 | }, |
| 49 | { |
| 50 | layer_type: "ElementwiseUnaryLayer", |
| 51 | layer: { |
| 52 | base: { |
| 53 | index: 1, |
| 54 | layerName: "ElementwiseUnaryLayer", |
| 55 | layerType: "ElementwiseUnary", |
| 56 | inputSlots: [{ |
| 57 | index: 0, |
| 58 | connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| 59 | }], |
| 60 | outputSlots: [{ |
| 61 | index: 0, |
| 62 | tensorInfo: { |
| 63 | dimensions: )" + outputShape + R"(, |
| 64 | dataType: )" + dataType + R"( |
| 65 | } |
| 66 | }] |
| 67 | }, |
| 68 | descriptor: { |
| 69 | activationFunction: )" + unaryOperation + R"( |
| 70 | }, |
| 71 | } |
| 72 | }, |
| 73 | { |
| 74 | layer_type: "OutputLayer", |
| 75 | layer: { |
| 76 | base:{ |
| 77 | layerBindingId: 2, |
| 78 | base: { |
| 79 | index: 2, |
| 80 | layerName: "OutputLayer", |
| 81 | layerType: "Output", |
| 82 | inputSlots: [{ |
| 83 | index: 0, |
| 84 | connection: {sourceLayerIndex:1, outputSlotIndex:0 }, |
| 85 | }], |
| 86 | outputSlots: [{ |
| 87 | index: 0, |
| 88 | tensorInfo: { |
| 89 | dimensions: )" + outputShape + R"(, |
| 90 | dataType: )" + dataType + R"( |
| 91 | }, |
| 92 | }], |
| 93 | } |
| 94 | } |
| 95 | }, |
| 96 | } |
| 97 | ] |
| 98 | } |
| 99 | )"; |
| 100 | Setup(); |
| 101 | } |
| 102 | }; |
| 103 | |
| 104 | struct SimpleAbsFixture : ElementwiseUnaryFixture |
| 105 | { |
| 106 | SimpleAbsFixture() : ElementwiseUnaryFixture("[ 1, 2, 2, 2 ]", // inputShape |
| 107 | "[ 1, 2, 2, 2 ]", // outputShape |
| 108 | "Float32", // dataType |
| 109 | "Abs") // unaryOperation |
| 110 | {} |
| 111 | }; |
| 112 | |
| 113 | FIXTURE_TEST_CASE(SimpleAbsTest, SimpleAbsFixture) |
| 114 | { |
| 115 | RunTest<4, armnn::DataType::Float32>( |
| 116 | 0, |
| 117 | {{"InputLayer", {-100.0f, -50.5f, -25.9999f, -0.5f, 0.0f, 1.5555f, 25.5f, 100.0f}}}, |
| 118 | {{"OutputLayer", {100.0f, 50.5f, 25.9999f, 0.5f, 0.0f, 1.5555f, 25.5f, 100.0f}}}); |
| 119 | } |
| 120 | |
| 121 | struct SimpleLogFixture : ElementwiseUnaryFixture |
| 122 | { |
| 123 | SimpleLogFixture() : ElementwiseUnaryFixture("[ 1, 2, 2, 2 ]", // inputShape |
| 124 | "[ 1, 2, 2, 2 ]", // outputShape |
| 125 | "Float32", // dataType |
| 126 | "Log") // unaryOperation |
| 127 | {} |
| 128 | }; |
| 129 | |
| 130 | FIXTURE_TEST_CASE(SimpleLogTest, SimpleLogFixture) |
| 131 | { |
| 132 | RunTest<4, armnn::DataType::Float32>( |
| 133 | 0, |
| 134 | {{"InputLayer", {1.0f, 2.1f, 3.2f, 4.3f, 10.f, 100.f, 25.5f, 200.0f}}}, |
| 135 | {{"OutputLayer", {0.f, 0.74193734472f, 1.16315080981f, 1.4586150227f, |
| 136 | 2.30258509299f, 4.60517018599f, 3.23867845216f, 5.29831736655f}}}); |
| 137 | } |
| 138 | |
| 139 | struct SimpleNegFixture : ElementwiseUnaryFixture |
| 140 | { |
| 141 | SimpleNegFixture() : ElementwiseUnaryFixture("[ 1, 2, 2, 2 ]", // inputShape |
| 142 | "[ 1, 2, 2, 2 ]", // outputShape |
| 143 | "Float32", // dataType |
| 144 | "Neg") // unaryOperation |
| 145 | {} |
| 146 | }; |
| 147 | |
| 148 | FIXTURE_TEST_CASE(SimpleNegTest, SimpleNegFixture) |
| 149 | { |
| 150 | RunTest<4, armnn::DataType::Float32>( |
| 151 | 0, |
| 152 | {{"InputLayer", {100.0f, 50.5f, 25.9999f, 0.5f, 0.0f, -1.5555f, -25.5f, -100.0f}}}, |
| 153 | {{"OutputLayer", {-100.0f, -50.5f, -25.9999f, -0.5f, 0.0f, 1.5555f, 25.5f, 100.0f}}}); |
| 154 | } |
| 155 | |
| 156 | struct SimpleSinFixture : ElementwiseUnaryFixture |
| 157 | { |
| 158 | SimpleSinFixture() : ElementwiseUnaryFixture("[ 1, 2, 2, 2 ]", // inputShape |
| 159 | "[ 1, 2, 2, 2 ]", // outputShape |
| 160 | "Float32", // dataType |
| 161 | "Sin") // unaryOperation |
| 162 | {} |
| 163 | }; |
| 164 | |
| 165 | FIXTURE_TEST_CASE(SimpleSinTest, SimpleSinFixture) |
| 166 | { |
| 167 | RunTest<4, armnn::DataType::Float32>( |
| 168 | 0, |
| 169 | {{"InputLayer", {-100.0f, -50.5f, -25.9999f, -0.5f, 0.0f, 1.5555f, 25.5f, 100.0f}}}, |
| 170 | {{"OutputLayer", {0.50636564111f, -0.23237376165f, -0.76249375473f, -0.4794255386f, |
| 171 | 0.0f, 0.99988301347f, 0.35905835402f, -0.50636564111f}}}); |
| 172 | } |
| 173 | } |