Sadik Armagan | 8b42a38 | 2019-03-01 14:24:49 +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 RsqrtFixture : public ParserFlatbuffersSerializeFixture |
| 16 | { |
| 17 | explicit RsqrtFixture(const std::string & inputShape, |
| 18 | const std::string & outputShape, |
| 19 | const std::string & dataType) |
| 20 | { |
| 21 | m_JsonString = R"( |
| 22 | { |
| 23 | inputIds: [0], |
| 24 | outputIds: [2], |
| 25 | layers: [ |
| 26 | { |
| 27 | layer_type: "InputLayer", |
| 28 | layer: { |
| 29 | base: { |
| 30 | layerBindingId: 0, |
| 31 | base: { |
| 32 | index: 0, |
| 33 | layerName: "InputLayer", |
| 34 | layerType: "Input", |
| 35 | inputSlots: [{ |
| 36 | index: 0, |
| 37 | connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| 38 | }], |
| 39 | outputSlots: [ { |
| 40 | index: 0, |
| 41 | tensorInfo: { |
| 42 | dimensions: )" + inputShape + R"(, |
| 43 | dataType: )" + dataType + R"( |
| 44 | }, |
| 45 | }], |
| 46 | },}}, |
| 47 | }, |
| 48 | { |
| 49 | layer_type: "RsqrtLayer", |
| 50 | layer : { |
| 51 | base: { |
| 52 | index:1, |
| 53 | layerName: "RsqrtLayer", |
| 54 | layerType: "Rsqrt", |
| 55 | inputSlots: [ |
| 56 | { |
| 57 | index: 0, |
| 58 | connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| 59 | } |
| 60 | ], |
| 61 | outputSlots: [ { |
| 62 | index: 0, |
| 63 | tensorInfo: { |
| 64 | dimensions: )" + outputShape + R"(, |
| 65 | dataType: )" + dataType + R"( |
| 66 | }, |
| 67 | }], |
| 68 | }}, |
| 69 | }, |
| 70 | { |
| 71 | layer_type: "OutputLayer", |
| 72 | layer: { |
| 73 | base:{ |
| 74 | layerBindingId: 0, |
| 75 | base: { |
| 76 | index: 2, |
| 77 | layerName: "OutputLayer", |
| 78 | layerType: "Output", |
| 79 | inputSlots: [{ |
| 80 | index: 0, |
| 81 | connection: {sourceLayerIndex:1, outputSlotIndex:0 }, |
| 82 | }], |
| 83 | outputSlots: [ { |
| 84 | index: 0, |
| 85 | tensorInfo: { |
| 86 | dimensions: )" + outputShape + R"(, |
| 87 | dataType: )" + dataType + R"( |
| 88 | }, |
| 89 | }], |
| 90 | }}}, |
| 91 | }] |
| 92 | } |
| 93 | )"; |
| 94 | Setup(); |
| 95 | } |
| 96 | }; |
| 97 | |
| 98 | |
| 99 | struct Rsqrt2dFixture : RsqrtFixture |
| 100 | { |
| 101 | Rsqrt2dFixture() : RsqrtFixture("[ 2, 2 ]", |
| 102 | "[ 2, 2 ]", |
| 103 | "Float32") {} |
| 104 | }; |
| 105 | |
| 106 | BOOST_FIXTURE_TEST_CASE(Rsqrt2d, Rsqrt2dFixture) |
| 107 | { |
| 108 | RunTest<2, armnn::DataType::Float32>( |
| 109 | 0, |
| 110 | {{"InputLayer", { 1.0f, 4.0f, |
| 111 | 16.0f, 25.0f }}}, |
| 112 | {{"OutputLayer",{ 1.0f, 0.5f, |
| 113 | 0.25f, 0.2f }}}); |
| 114 | } |
| 115 | |
| 116 | |
| 117 | BOOST_AUTO_TEST_SUITE_END() |