Narumol Prangnawarat | fe6aa2f | 2021-09-23 16:11:17 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "armnnOnnxParser/IOnnxParser.hpp" |
| 7 | #include "ParserPrototxtFixture.hpp" |
| 8 | #include "OnnxParserTestUtils.hpp" |
| 9 | |
| 10 | TEST_SUITE("OnnxParser_Unsqueeze") |
| 11 | { |
| 12 | |
| 13 | struct UnsqueezeFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> |
| 14 | { |
| 15 | UnsqueezeFixture(const std::vector<int>& axes, |
| 16 | const std::vector<int>& inputShape, |
| 17 | const std::vector<int>& outputShape) |
| 18 | { |
| 19 | m_Prototext = R"( |
| 20 | ir_version: 8 |
| 21 | producer_name: "onnx-example" |
| 22 | graph { |
| 23 | node { |
| 24 | input: "Input" |
| 25 | output: "Output" |
| 26 | op_type: "Unsqueeze" |
| 27 | )" + armnnUtils::ConstructIntsAttribute("axes", axes) + R"( |
| 28 | } |
| 29 | name: "test-model" |
| 30 | input { |
| 31 | name: "Input" |
| 32 | type { |
| 33 | tensor_type { |
| 34 | elem_type: 1 |
| 35 | shape { |
| 36 | )" + armnnUtils::ConstructTensorShapeString(inputShape) + R"( |
| 37 | } |
| 38 | } |
| 39 | } |
| 40 | } |
| 41 | output { |
| 42 | name: "Output" |
| 43 | type { |
| 44 | tensor_type { |
| 45 | elem_type: 1 |
| 46 | shape { |
| 47 | )" + armnnUtils::ConstructTensorShapeString(outputShape) + R"( |
| 48 | } |
| 49 | } |
| 50 | } |
| 51 | } |
| 52 | })"; |
| 53 | } |
| 54 | }; |
| 55 | |
| 56 | struct UnsqueezeSingleAxesFixture : UnsqueezeFixture |
| 57 | { |
| 58 | UnsqueezeSingleAxesFixture() : UnsqueezeFixture({ 0 }, { 2, 3 }, { 1, 2, 3 }) |
| 59 | { |
| 60 | Setup(); |
| 61 | } |
| 62 | }; |
| 63 | |
| 64 | struct UnsqueezeMultiAxesFixture : UnsqueezeFixture |
| 65 | { |
| 66 | UnsqueezeMultiAxesFixture() : UnsqueezeFixture({ 1, 3 }, { 3, 2, 5 }, { 3, 1, 2, 1, 5 }) |
| 67 | { |
| 68 | Setup(); |
| 69 | } |
| 70 | }; |
| 71 | |
| 72 | struct UnsqueezeUnsortedAxesFixture : UnsqueezeFixture |
| 73 | { |
| 74 | UnsqueezeUnsortedAxesFixture() : UnsqueezeFixture({ 3, 0, 1 }, { 2, 5 }, { 1, 1, 2, 1, 5 }) |
| 75 | { |
| 76 | Setup(); |
| 77 | } |
| 78 | }; |
| 79 | |
Narumol Prangnawarat | 452274c | 2021-09-23 16:12:19 +0100 | [diff] [blame] | 80 | struct UnsqueezeScalarFixture : UnsqueezeFixture |
| 81 | { |
| 82 | UnsqueezeScalarFixture() : UnsqueezeFixture({ 0 }, { }, { 1 }) |
| 83 | { |
| 84 | Setup(); |
| 85 | } |
| 86 | }; |
| 87 | |
Narumol Prangnawarat | fe6aa2f | 2021-09-23 16:11:17 +0100 | [diff] [blame] | 88 | TEST_CASE_FIXTURE(UnsqueezeSingleAxesFixture, "UnsqueezeSingleAxesTest") |
| 89 | { |
| 90 | RunTest<3, float>({{"Input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f }}}, |
| 91 | {{"Output", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f }}}); |
| 92 | } |
| 93 | |
| 94 | TEST_CASE_FIXTURE(UnsqueezeMultiAxesFixture, "UnsqueezeMultiAxesTest") |
| 95 | { |
| 96 | RunTest<5, float>({{"Input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, |
| 97 | 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, |
| 98 | 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, |
| 99 | 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, |
| 100 | 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, |
| 101 | 26.0f, 27.0f, 28.0f, 29.0f, 30.0f }}}, |
| 102 | {{"Output", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, |
| 103 | 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, |
| 104 | 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, |
| 105 | 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, |
| 106 | 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, |
| 107 | 26.0f, 27.0f, 28.0f, 29.0f, 30.0f }}}); |
| 108 | } |
| 109 | |
| 110 | TEST_CASE_FIXTURE(UnsqueezeUnsortedAxesFixture, "UnsqueezeUnsortedAxesTest") |
| 111 | { |
| 112 | RunTest<5, float>({{"Input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, |
| 113 | 6.0f, 7.0f, 8.0f, 9.0f, 10.0f }}}, |
| 114 | {{"Output", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, |
| 115 | 6.0f, 7.0f, 8.0f, 9.0f, 10.0f }}}); |
| 116 | } |
| 117 | |
Narumol Prangnawarat | 452274c | 2021-09-23 16:12:19 +0100 | [diff] [blame] | 118 | TEST_CASE_FIXTURE(UnsqueezeScalarFixture, "UnsqueezeScalarTest") |
| 119 | { |
| 120 | RunTest<1, float>({{"Input", { 1.0f }}}, |
| 121 | {{"Output", { 1.0f }}}); |
| 122 | } |
| 123 | |
Narumol Prangnawarat | fe6aa2f | 2021-09-23 16:11:17 +0100 | [diff] [blame] | 124 | struct UnsqueezeInputAxesFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> |
| 125 | { |
| 126 | UnsqueezeInputAxesFixture() |
| 127 | { |
| 128 | m_Prototext = R"( |
| 129 | ir_version: 8 |
| 130 | producer_name: "onnx-example" |
| 131 | graph { |
| 132 | node { |
| 133 | input: "Input" |
| 134 | input: "Axes" |
| 135 | output: "Output" |
| 136 | op_type: "Unsqueeze" |
| 137 | } |
| 138 | initializer { |
| 139 | dims: 2 |
| 140 | data_type: 7 |
| 141 | int64_data: 0 |
| 142 | int64_data: 3 |
| 143 | name: "Axes" |
| 144 | } |
| 145 | name: "test-model" |
| 146 | input { |
| 147 | name: "Input" |
| 148 | type { |
| 149 | tensor_type { |
| 150 | elem_type: 1 |
| 151 | shape { |
| 152 | dim { |
| 153 | dim_value: 3 |
| 154 | } |
| 155 | dim { |
| 156 | dim_value: 2 |
| 157 | } |
| 158 | dim { |
| 159 | dim_value: 5 |
| 160 | } |
| 161 | } |
| 162 | } |
| 163 | } |
| 164 | } |
| 165 | output { |
| 166 | name: "Output" |
| 167 | type { |
| 168 | tensor_type { |
| 169 | elem_type: 1 |
| 170 | shape { |
| 171 | dim { |
| 172 | dim_value: 1 |
| 173 | } |
| 174 | dim { |
| 175 | dim_value: 3 |
| 176 | } |
| 177 | dim { |
| 178 | dim_value: 2 |
| 179 | } |
| 180 | dim { |
| 181 | dim_value: 1 |
| 182 | } |
| 183 | dim { |
| 184 | dim_value: 5 |
| 185 | } |
| 186 | } |
| 187 | } |
| 188 | } |
| 189 | } |
| 190 | })"; |
| 191 | Setup(); |
| 192 | } |
| 193 | }; |
| 194 | |
| 195 | TEST_CASE_FIXTURE(UnsqueezeInputAxesFixture, "UnsqueezeInputAxesTest") |
| 196 | { |
| 197 | RunTest<5, float>({{"Input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, |
| 198 | 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, |
| 199 | 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, |
| 200 | 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, |
| 201 | 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, |
| 202 | 26.0f, 27.0f, 28.0f, 29.0f, 30.0f }}}, |
| 203 | {{"Output", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, |
| 204 | 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, |
| 205 | 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, |
| 206 | 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, |
| 207 | 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, |
| 208 | 26.0f, 27.0f, 28.0f, 29.0f, 30.0f }}}); |
| 209 | } |
| 210 | |
| 211 | } |