josh minor | ba424d2 | 2019-11-13 10:55:17 -0600 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2019 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include <boost/test/unit_test.hpp> |
| 7 | #include "ParserFlatbuffersFixture.hpp" |
| 8 | #include "../TfLiteParser.hpp" |
| 9 | |
| 10 | BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) |
| 11 | |
| 12 | struct SliceFixture : public ParserFlatbuffersFixture |
| 13 | { |
| 14 | explicit SliceFixture(const std::string & inputShape, |
| 15 | const std::string & outputShape, |
| 16 | const std::string & beginData, |
| 17 | const std::string & sizeData) |
| 18 | { |
| 19 | m_JsonString = R"( |
| 20 | { |
| 21 | "version": 3, |
| 22 | "operator_codes": [ |
| 23 | { |
| 24 | "builtin_code": "SLICE", |
| 25 | "version": 1 |
| 26 | } |
| 27 | ], |
| 28 | "subgraphs": [ |
| 29 | { |
| 30 | "tensors": [ |
| 31 | { |
| 32 | "shape": )" + inputShape + R"(, |
| 33 | "type": "FLOAT32", |
| 34 | "buffer": 0, |
| 35 | "name": "inputTensor", |
| 36 | "quantization": { |
| 37 | "min": [ |
| 38 | 0.0 |
| 39 | ], |
| 40 | "max": [ |
| 41 | 255.0 |
| 42 | ], |
| 43 | "details_type": 0, |
| 44 | "quantized_dimension": 0 |
| 45 | }, |
| 46 | "is_variable": false |
| 47 | }, |
| 48 | { |
| 49 | "shape": )" + outputShape + R"(, |
| 50 | "type": "FLOAT32", |
| 51 | "buffer": 1, |
| 52 | "name": "outputTensor", |
| 53 | "quantization": { |
| 54 | "details_type": 0, |
| 55 | "quantized_dimension": 0 |
| 56 | }, |
| 57 | "is_variable": false |
| 58 | })"; |
| 59 | m_JsonString += R"(, |
| 60 | { |
| 61 | "shape": [ |
| 62 | 3 |
| 63 | ], |
| 64 | "type": "INT32", |
| 65 | "buffer": 2, |
| 66 | "name": "beginTensor", |
| 67 | "quantization": { |
| 68 | } |
| 69 | })"; |
| 70 | m_JsonString += R"(, |
| 71 | { |
| 72 | "shape": [ |
| 73 | 3 |
| 74 | ], |
| 75 | "type": "INT32", |
| 76 | "buffer": 3, |
| 77 | "name": "sizeTensor", |
| 78 | "quantization": { |
| 79 | } |
| 80 | })"; |
| 81 | m_JsonString += R"(], |
| 82 | "inputs": [ |
| 83 | 0 |
| 84 | ], |
| 85 | "outputs": [ |
| 86 | 1 |
| 87 | ], |
| 88 | "operators": [ |
| 89 | { |
| 90 | "opcode_index": 0, |
| 91 | "inputs": [ |
| 92 | 0, |
| 93 | 2, |
| 94 | 3)"; |
| 95 | m_JsonString += R"(], |
| 96 | "outputs": [ |
| 97 | 1 |
| 98 | ], |
| 99 | mutating_variable_inputs: [ |
| 100 | ] |
| 101 | } |
| 102 | ] |
| 103 | } |
| 104 | ], |
| 105 | "description": "TOCO Converted.", |
| 106 | "buffers": [ |
| 107 | { }, |
| 108 | { })"; |
| 109 | m_JsonString += R"(,{"data": )" + beginData + R"( })"; |
| 110 | m_JsonString += R"(,{"data": )" + sizeData + R"( })"; |
| 111 | m_JsonString += R"( |
| 112 | ] |
| 113 | } |
| 114 | )"; |
| 115 | SetupSingleInputSingleOutput("inputTensor", "outputTensor"); |
| 116 | } |
| 117 | }; |
| 118 | |
| 119 | struct SliceFixtureSingleDim : SliceFixture |
| 120 | { |
| 121 | SliceFixtureSingleDim() : SliceFixture("[ 3, 2, 3 ]", |
| 122 | "[ 1, 1, 3 ]", |
| 123 | "[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]", |
| 124 | "[ 1, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0 ]") {} |
| 125 | }; |
| 126 | |
| 127 | BOOST_FIXTURE_TEST_CASE(SliceSingleDim, SliceFixtureSingleDim) |
| 128 | { |
| 129 | RunTest<3, armnn::DataType::Float32>( |
| 130 | 0, |
| 131 | {{"inputTensor", { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}}, |
| 132 | {{"outputTensor", { 3, 3, 3 }}}); |
| 133 | |
| 134 | BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() |
| 135 | == armnn::TensorShape({1,1,3}))); |
| 136 | } |
| 137 | |
| 138 | struct SliceFixtureD123 : SliceFixture |
| 139 | { |
| 140 | SliceFixtureD123() : SliceFixture("[ 3, 2, 3 ]", |
| 141 | "[ 1, 2, 3 ]", |
| 142 | "[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]", |
| 143 | "[ 1, 0, 0, 0, 2, 0, 0, 0, 3, 0, 0, 0 ]") {} |
| 144 | }; |
| 145 | |
| 146 | BOOST_FIXTURE_TEST_CASE(SliceD123, SliceFixtureD123) |
| 147 | { |
| 148 | RunTest<3, armnn::DataType::Float32>( |
| 149 | 0, |
| 150 | {{"inputTensor", { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}}, |
| 151 | {{"outputTensor", { 3, 3, 3, 4, 4, 4 }}}); |
| 152 | |
| 153 | BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() |
| 154 | == armnn::TensorShape({1,2,3}))); |
| 155 | } |
| 156 | |
| 157 | struct SliceFixtureD213 : SliceFixture |
| 158 | { |
| 159 | SliceFixtureD213() : SliceFixture("[ 3, 2, 3 ]", |
| 160 | "[ 2, 1, 3 ]", |
| 161 | "[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]", |
| 162 | "[ 2, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0 ]") {} |
| 163 | }; |
| 164 | |
| 165 | BOOST_FIXTURE_TEST_CASE(SliceD213, SliceFixtureD213) |
| 166 | { |
| 167 | RunTest<3, armnn::DataType::Float32>( |
| 168 | 0, |
| 169 | {{"inputTensor", { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}}, |
| 170 | {{"outputTensor", { 3, 3, 3, 5, 5, 5 }}}); |
| 171 | |
| 172 | BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() |
| 173 | == armnn::TensorShape({2,1,3}))); |
| 174 | } |
| 175 | |
| 176 | BOOST_AUTO_TEST_SUITE_END() |