Aron Virginas-Tar | 11b2eca | 2019-09-24 11:01:51 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2019 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ParserFlatbuffersSerializeFixture.hpp" |
| 7 | |
| 8 | #include "../Deserializer.hpp" |
| 9 | |
| 10 | #include <boost/test/unit_test.hpp> |
| 11 | |
| 12 | #include <string> |
| 13 | |
| 14 | BOOST_AUTO_TEST_SUITE(Deserializer) |
| 15 | |
| 16 | struct DepthToSpaceFixture : public ParserFlatbuffersSerializeFixture |
| 17 | { |
| 18 | explicit DepthToSpaceFixture(const std::string& inputShape, |
| 19 | const std::string& outputShape, |
| 20 | const std::string& blockSize, |
| 21 | const std::string& dataLayout, |
| 22 | const std::string& dataType) |
| 23 | { |
| 24 | m_JsonString = R"( |
| 25 | { |
| 26 | inputIds: [0], |
| 27 | outputIds: [2], |
| 28 | layers: [ |
| 29 | { |
| 30 | layer_type: "InputLayer", |
| 31 | layer: { |
| 32 | base: { |
| 33 | layerBindingId: 0, |
| 34 | base: { |
| 35 | index: 0, |
| 36 | layerName: "InputLayer", |
| 37 | layerType: "Input", |
| 38 | inputSlots: [{ |
| 39 | index: 0, |
| 40 | connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| 41 | }], |
| 42 | outputSlots: [{ |
| 43 | index: 0, |
| 44 | tensorInfo: { |
| 45 | dimensions: )" + inputShape + R"(, |
| 46 | dataType: )" + dataType + R"( |
| 47 | } |
| 48 | }] |
| 49 | } |
| 50 | } |
| 51 | } |
| 52 | }, |
| 53 | { |
| 54 | layer_type: "DepthToSpaceLayer", |
| 55 | layer: { |
| 56 | base: { |
| 57 | index: 1, |
| 58 | layerName: "DepthToSpaceLayer", |
| 59 | layerType: "DepthToSpace", |
| 60 | inputSlots: [{ |
| 61 | index: 0, |
| 62 | connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| 63 | }], |
| 64 | outputSlots: [{ |
| 65 | index: 0, |
| 66 | tensorInfo: { |
| 67 | dimensions: )" + outputShape + R"(, |
| 68 | dataType: )" + dataType + R"( |
| 69 | } |
| 70 | }] |
| 71 | }, |
| 72 | descriptor: { |
| 73 | blockSize: )" + blockSize + R"(, |
| 74 | dataLayout: )" + dataLayout + R"(, |
| 75 | } |
| 76 | } |
| 77 | }, |
| 78 | { |
| 79 | layer_type: "OutputLayer", |
| 80 | layer: { |
| 81 | base:{ |
| 82 | layerBindingId: 2, |
| 83 | base: { |
| 84 | index: 2, |
| 85 | layerName: "OutputLayer", |
| 86 | layerType: "Output", |
| 87 | inputSlots: [{ |
| 88 | index: 0, |
| 89 | connection: {sourceLayerIndex:1, outputSlotIndex:0 }, |
| 90 | }], |
| 91 | outputSlots: [{ |
| 92 | index: 0, |
| 93 | tensorInfo: { |
| 94 | dimensions: )" + outputShape + R"(, |
| 95 | dataType: )" + dataType + R"( |
| 96 | }, |
| 97 | }], |
| 98 | } |
| 99 | } |
| 100 | }, |
| 101 | } |
| 102 | ] |
| 103 | } |
| 104 | )"; |
| 105 | SetupSingleInputSingleOutput("InputLayer", "OutputLayer"); |
| 106 | } |
| 107 | }; |
| 108 | |
| 109 | struct DepthToSpaceFloat32Fixture : DepthToSpaceFixture |
| 110 | { |
| 111 | DepthToSpaceFloat32Fixture() : DepthToSpaceFixture("[ 1, 2, 2, 4 ]", // input shape |
| 112 | "[ 1, 4, 4, 1 ]", // output shape |
| 113 | "2", // block size |
| 114 | "NHWC", // data layout |
| 115 | "Float32") {} // data type |
| 116 | }; |
| 117 | |
| 118 | BOOST_FIXTURE_TEST_CASE(DepthToSpaceFloat32, DepthToSpaceFloat32Fixture) |
| 119 | { |
| 120 | RunTest<4, armnn::DataType::Float32>( |
| 121 | 0, |
| 122 | { |
| 123 | 1.f, 2.f, 3.f, 4.f, |
| 124 | 5.f, 6.f, 7.f, 8.f, |
| 125 | 9.f, 10.f, 11.f, 12.f, |
| 126 | 13.f, 14.f, 15.f, 16.f |
| 127 | }, |
| 128 | { |
| 129 | 1.f, 2.f, 5.f, 6.f, |
| 130 | 3.f, 4.f, 7.f, 8.f, |
| 131 | 9.f, 10.f, 13.f, 14.f, |
| 132 | 11.f, 12.f, 15.f, 16.f |
| 133 | }); |
| 134 | } |
| 135 | |
| 136 | BOOST_AUTO_TEST_SUITE_END() |