Conor Kennedy | 79ffdf5 | 2019-03-01 14:24:54 +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 GreaterFixture : public ParserFlatbuffersSerializeFixture |
| 16 | { |
| 17 | explicit GreaterFixture(const std::string & inputShape1, |
| 18 | const std::string & inputShape2, |
| 19 | const std::string & outputShape, |
| 20 | const std::string & inputDataType, |
| 21 | const std::string & outputDataType) |
| 22 | { |
| 23 | m_JsonString = R"( |
| 24 | { |
| 25 | inputIds: [0, 1], |
| 26 | outputIds: [3], |
| 27 | layers: [ |
| 28 | { |
| 29 | layer_type: "InputLayer", |
| 30 | layer: { |
| 31 | base: { |
| 32 | layerBindingId: 0, |
| 33 | base: { |
| 34 | index: 0, |
| 35 | layerName: "InputLayer1", |
| 36 | layerType: "Input", |
| 37 | inputSlots: [{ |
| 38 | index: 0, |
| 39 | connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| 40 | }], |
| 41 | outputSlots: [ { |
| 42 | index: 0, |
| 43 | tensorInfo: { |
| 44 | dimensions: )" + inputShape1 + R"(, |
| 45 | dataType: )" + inputDataType + R"( |
| 46 | }, |
| 47 | }], |
| 48 | },}}, |
| 49 | }, |
| 50 | { |
| 51 | layer_type: "InputLayer", |
| 52 | layer: { |
| 53 | base: { |
| 54 | layerBindingId: 1, |
| 55 | base: { |
| 56 | index:1, |
| 57 | layerName: "InputLayer2", |
| 58 | layerType: "Input", |
| 59 | inputSlots: [{ |
| 60 | index: 0, |
| 61 | connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| 62 | }], |
| 63 | outputSlots: [ { |
| 64 | index: 0, |
| 65 | tensorInfo: { |
| 66 | dimensions: )" + inputShape2 + R"(, |
| 67 | dataType: )" + inputDataType + R"( |
| 68 | }, |
| 69 | }], |
| 70 | },}}, |
| 71 | }, |
| 72 | { |
| 73 | layer_type: "GreaterLayer", |
| 74 | layer : { |
| 75 | base: { |
| 76 | index:2, |
| 77 | layerName: "GreaterLayer", |
| 78 | layerType: "Greater", |
| 79 | inputSlots: [ |
| 80 | { |
| 81 | index: 0, |
| 82 | connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| 83 | }, |
| 84 | { |
| 85 | index: 1, |
| 86 | connection: {sourceLayerIndex:1, outputSlotIndex:0 }, |
| 87 | } |
| 88 | ], |
| 89 | outputSlots: [ { |
| 90 | index: 0, |
| 91 | tensorInfo: { |
| 92 | dimensions: )" + outputShape + R"(, |
| 93 | dataType: Boolean |
| 94 | }, |
| 95 | }], |
| 96 | }}, |
| 97 | }, |
| 98 | { |
| 99 | layer_type: "OutputLayer", |
| 100 | layer: { |
| 101 | base:{ |
| 102 | layerBindingId: 0, |
| 103 | base: { |
| 104 | index: 3, |
| 105 | layerName: "OutputLayer", |
| 106 | layerType: "Output", |
| 107 | inputSlots: [{ |
| 108 | index: 0, |
| 109 | connection: {sourceLayerIndex:2, outputSlotIndex:0 }, |
| 110 | }], |
| 111 | outputSlots: [ { |
| 112 | index: 0, |
| 113 | tensorInfo: { |
| 114 | dimensions: )" + outputShape + R"(, |
| 115 | dataType: )" + outputDataType + R"( |
| 116 | }, |
| 117 | }], |
| 118 | }}}, |
| 119 | }] |
| 120 | } |
| 121 | )"; |
| 122 | Setup(); |
| 123 | } |
| 124 | }; |
| 125 | |
| 126 | |
| 127 | struct SimpleGreaterFixtureQuantisedAsymm8 : GreaterFixture |
| 128 | { |
| 129 | SimpleGreaterFixtureQuantisedAsymm8() : GreaterFixture("[ 2, 2 ]", // input1Shape |
| 130 | "[ 2, 2 ]", // input2Shape |
| 131 | "[ 2, 2 ]", // outputShape |
| 132 | "QuantisedAsymm8", // inputDataType |
| 133 | "Float32") {} // outputDataType |
| 134 | }; |
| 135 | |
| 136 | struct SimpleGreaterFixtureFloat32 : GreaterFixture |
| 137 | { |
| 138 | SimpleGreaterFixtureFloat32() : GreaterFixture("[ 2, 2, 1, 1 ]", // input1Shape |
| 139 | "[ 2, 2, 1, 1 ]", // input2Shape |
| 140 | "[ 2, 2, 1, 1 ]", // outputShape |
| 141 | "Float32", // inputDataType |
| 142 | "Float32") {} // outputDataType |
| 143 | }; |
| 144 | |
| 145 | struct SimpleGreaterFixtureBroadcast : GreaterFixture |
| 146 | { |
| 147 | SimpleGreaterFixtureBroadcast() : GreaterFixture("[ 1, 2, 2, 2 ]", // input1Shape |
| 148 | "[ 1, 1, 1, 1 ]", // input2Shape |
| 149 | "[ 1, 2, 2, 2 ]", // outputShape |
| 150 | "Float32", // inputDataType |
| 151 | "Float32") {} // outputDataType |
| 152 | }; |
| 153 | |
| 154 | |
| 155 | BOOST_FIXTURE_TEST_CASE(GreaterQuantisedAsymm8, SimpleGreaterFixtureQuantisedAsymm8) |
| 156 | { |
| 157 | RunTest<2, armnn::DataType::QuantisedAsymm8, armnn::DataType::Boolean>( |
| 158 | 0, |
| 159 | {{"InputLayer1", { 1, 5, 8, 7 }}, |
| 160 | { "InputLayer2", { 4, 0, 6, 7 }}}, |
| 161 | {{"OutputLayer", { 0, 1, 1, 0 }}}); |
| 162 | } |
| 163 | |
| 164 | BOOST_FIXTURE_TEST_CASE(GreaterFloat32, SimpleGreaterFixtureFloat32) |
| 165 | { |
| 166 | RunTest<4, armnn::DataType::Float32, armnn::DataType::Boolean>( |
| 167 | 0, |
| 168 | {{"InputLayer1", { 1.0f, 2.0f, 3.0f, 4.0f }}, |
| 169 | { "InputLayer2", { 1.0f, 5.0f, 2.0f, 2.0f }}}, |
| 170 | {{"OutputLayer", { 0, 0, 1, 1 }}}); |
| 171 | } |
| 172 | |
| 173 | BOOST_FIXTURE_TEST_CASE(GreaterBroadcast, SimpleGreaterFixtureBroadcast) |
| 174 | { |
| 175 | RunTest<4, armnn::DataType::Float32, armnn::DataType::Boolean>( |
| 176 | 0, |
| 177 | {{"InputLayer1", { 1, 2, 3, 4, 5, 6, 7, 8 }}, |
| 178 | {"InputLayer2", { 1 }}}, |
| 179 | {{"OutputLayer", { 0, 1, 1, 1, 1, 1, 1, 1 }}}); |
| 180 | } |
| 181 | |
| 182 | BOOST_AUTO_TEST_SUITE_END() |