Conor Kennedy | c2130a0 | 2018-12-05 11:05:54 +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 "armnnTfParser/ITfParser.hpp" |
| 8 | #include "ParserPrototxtFixture.hpp" |
| 9 | |
| 10 | BOOST_AUTO_TEST_SUITE(TensorflowParser) |
| 11 | |
| 12 | struct ExpandDimsFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
| 13 | { |
| 14 | ExpandDimsFixture(const std::string& expandDim) |
| 15 | { |
| 16 | m_Prototext = |
| 17 | "node { \n" |
| 18 | " name: \"graphInput\" \n" |
| 19 | " op: \"Placeholder\" \n" |
| 20 | " attr { \n" |
| 21 | " key: \"dtype\" \n" |
| 22 | " value { \n" |
| 23 | " type: DT_FLOAT \n" |
| 24 | " } \n" |
| 25 | " } \n" |
| 26 | " attr { \n" |
| 27 | " key: \"shape\" \n" |
| 28 | " value { \n" |
| 29 | " shape { \n" |
| 30 | " } \n" |
| 31 | " } \n" |
| 32 | " } \n" |
| 33 | " } \n" |
| 34 | "node { \n" |
| 35 | " name: \"ExpandDims\" \n" |
| 36 | " op: \"ExpandDims\" \n" |
| 37 | " input: \"graphInput\" \n" |
| 38 | " attr { \n" |
| 39 | " key: \"T\" \n" |
| 40 | " value { \n" |
| 41 | " type: DT_FLOAT \n" |
| 42 | " } \n" |
| 43 | " } \n" |
| 44 | " attr { \n" |
| 45 | " key: \"Tdim\" \n" |
| 46 | " value { \n"; |
| 47 | m_Prototext += "i:" + expandDim; |
| 48 | m_Prototext += |
| 49 | " } \n" |
| 50 | " } \n" |
| 51 | "} \n"; |
| 52 | |
| 53 | SetupSingleInputSingleOutput({ 2, 3, 5 }, "graphInput", "ExpandDims"); |
| 54 | } |
| 55 | }; |
| 56 | |
| 57 | struct ExpandZeroDim : ExpandDimsFixture |
| 58 | { |
| 59 | ExpandZeroDim() : ExpandDimsFixture("0") {} |
| 60 | }; |
| 61 | |
| 62 | struct ExpandTwoDim : ExpandDimsFixture |
| 63 | { |
| 64 | ExpandTwoDim() : ExpandDimsFixture("2") {} |
| 65 | }; |
| 66 | |
| 67 | struct ExpandThreeDim : ExpandDimsFixture |
| 68 | { |
| 69 | ExpandThreeDim() : ExpandDimsFixture("3") {} |
| 70 | }; |
| 71 | |
| 72 | struct ExpandMinusOneDim : ExpandDimsFixture |
| 73 | { |
| 74 | ExpandMinusOneDim() : ExpandDimsFixture("-1") {} |
| 75 | }; |
| 76 | |
| 77 | struct ExpandMinusThreeDim : ExpandDimsFixture |
| 78 | { |
| 79 | ExpandMinusThreeDim() : ExpandDimsFixture("-3") {} |
| 80 | }; |
| 81 | |
| 82 | BOOST_FIXTURE_TEST_CASE(ParseExpandZeroDim, ExpandZeroDim) |
| 83 | { |
| 84 | BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("ExpandDims").second.GetShape() == |
| 85 | armnn::TensorShape({1, 2, 3, 5}))); |
| 86 | } |
| 87 | |
| 88 | BOOST_FIXTURE_TEST_CASE(ParseExpandTwoDim, ExpandTwoDim) |
| 89 | { |
| 90 | BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("ExpandDims").second.GetShape() == |
| 91 | armnn::TensorShape({2, 3, 1, 5}))); |
| 92 | } |
| 93 | |
| 94 | BOOST_FIXTURE_TEST_CASE(ParseExpandThreeDim, ExpandThreeDim) |
| 95 | { |
| 96 | BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("ExpandDims").second.GetShape() == |
| 97 | armnn::TensorShape({2, 3, 5, 1}))); |
| 98 | } |
| 99 | |
| 100 | BOOST_FIXTURE_TEST_CASE(ParseExpandMinusOneDim, ExpandMinusOneDim) |
| 101 | { |
| 102 | BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("ExpandDims").second.GetShape() == |
| 103 | armnn::TensorShape({2, 3, 5, 1}))); |
| 104 | } |
| 105 | |
| 106 | BOOST_FIXTURE_TEST_CASE(ParseExpandMinusThreeDim, ExpandMinusThreeDim) |
| 107 | { |
| 108 | BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("ExpandDims").second.GetShape() == |
| 109 | armnn::TensorShape({2, 1, 3, 5}))); |
| 110 | } |
| 111 | |
Jan Eilers | 1f3b49b | 2020-09-08 08:57:40 +0100 | [diff] [blame] | 112 | struct ExpandDimsAsInputFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
| 113 | { |
| 114 | ExpandDimsAsInputFixture(const std::string& expandDim, |
| 115 | const bool wrongDataType = false, |
| 116 | const std::string& numElements = "1") |
| 117 | { |
| 118 | std::string dataType = (wrongDataType) ? "DT_FLOAT" : "DT_INT32"; |
| 119 | std::string val = (wrongDataType) ? ("float_val: " + expandDim + ".0") : ("int_val: "+ expandDim); |
| 120 | |
| 121 | m_Prototext = R"( |
| 122 | node { |
| 123 | name: "a" |
| 124 | op: "Placeholder" |
| 125 | attr { |
| 126 | key: "dtype" |
| 127 | value { |
| 128 | type: DT_FLOAT |
| 129 | } |
| 130 | } |
| 131 | attr { |
| 132 | key: "shape" |
| 133 | value { |
| 134 | shape { |
| 135 | dim { |
| 136 | size: 1 |
| 137 | } |
| 138 | dim { |
| 139 | size: 4 |
| 140 | } |
| 141 | } |
| 142 | } |
| 143 | } |
| 144 | } |
| 145 | node { |
| 146 | name: "b" |
| 147 | op: "Const" |
| 148 | attr { |
| 149 | key: "dtype" |
| 150 | value { |
| 151 | type: )" + dataType + R"( |
| 152 | } |
| 153 | } |
| 154 | attr { |
| 155 | key: "value" |
| 156 | value { |
| 157 | tensor { |
| 158 | dtype: )" + dataType + R"( |
| 159 | tensor_shape { |
| 160 | dim { |
| 161 | size: )" + numElements + R"( |
| 162 | } |
| 163 | } |
| 164 | )" + val + R"( |
| 165 | } |
| 166 | } |
| 167 | } |
| 168 | } |
| 169 | node { |
| 170 | name: "ExpandDims" |
| 171 | op: "ExpandDims" |
| 172 | input: "a" |
| 173 | input: "b" |
| 174 | attr { |
| 175 | key: "T" |
| 176 | value { |
| 177 | type: DT_FLOAT |
| 178 | } |
| 179 | } |
| 180 | attr { |
| 181 | key: "Tdim" |
| 182 | value { |
| 183 | type: DT_INT32 |
| 184 | } |
| 185 | } |
| 186 | } |
| 187 | versions { |
| 188 | producer: 134 |
| 189 | })"; |
| 190 | } |
| 191 | }; |
| 192 | |
| 193 | struct ExpandDimAsInput : ExpandDimsAsInputFixture |
| 194 | { |
| 195 | ExpandDimAsInput() : ExpandDimsAsInputFixture("0") |
| 196 | { |
| 197 | Setup({{"a", {1,4}} ,{"b",{1,1}}}, { "ExpandDims" }); |
| 198 | } |
| 199 | }; |
| 200 | |
| 201 | |
| 202 | BOOST_FIXTURE_TEST_CASE(ParseExpandDimAsInput, ExpandDimAsInput) |
| 203 | { |
| 204 | // Axis parameter that describes which axis/dim should be expanded is passed as a second input |
| 205 | BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("ExpandDims").second.GetShape() == |
| 206 | armnn::TensorShape({1, 1, 4}))); |
| 207 | } |
| 208 | |
| 209 | struct ExpandDimAsInputWrongDataType : ExpandDimsAsInputFixture |
| 210 | { |
| 211 | ExpandDimAsInputWrongDataType() : ExpandDimsAsInputFixture("0", true, "1") {} |
| 212 | }; |
| 213 | |
| 214 | BOOST_FIXTURE_TEST_CASE(ParseExpandDimAsInputWrongDataType, ExpandDimAsInputWrongDataType) |
| 215 | { |
| 216 | // Axis parameter that describes which axis/dim should be expanded is passed as a second input |
| 217 | // Axis parameter is of wrong data type (float instead of int32) |
| 218 | BOOST_REQUIRE_THROW(Setup({{"a", {1,4}} ,{"b",{1,1}}}, { "ExpandDims" }), armnn::ParseException); |
| 219 | } |
| 220 | |
| 221 | struct ExpandDimAsInputWrongShape : ExpandDimsAsInputFixture |
| 222 | { |
| 223 | ExpandDimAsInputWrongShape() : ExpandDimsAsInputFixture("0", false, "2") {} |
| 224 | }; |
| 225 | |
| 226 | BOOST_FIXTURE_TEST_CASE(ParseExpandDimAsInputWrongShape, ExpandDimAsInputWrongShape) |
| 227 | { |
| 228 | // Axis parameter that describes which axis/dim should be expanded is passed as a second input |
| 229 | // Axis parameter is of wrong shape |
| 230 | BOOST_REQUIRE_THROW(Setup({{"a", {1,4}} ,{"b",{1,1}}}, { "ExpandDims" }), armnn::ParseException); |
| 231 | } |
| 232 | |
| 233 | struct ExpandDimsAsNotConstInputFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
| 234 | { |
| 235 | ExpandDimsAsNotConstInputFixture() |
| 236 | { |
| 237 | m_Prototext = R"( |
| 238 | node { |
| 239 | name: "a" |
| 240 | op: "Placeholder" |
| 241 | attr { |
| 242 | key: "dtype" |
| 243 | value { |
| 244 | type: DT_FLOAT |
| 245 | } |
| 246 | } |
| 247 | attr { |
| 248 | key: "shape" |
| 249 | value { |
| 250 | shape { |
| 251 | dim { |
| 252 | size: 1 |
| 253 | } |
| 254 | dim { |
| 255 | size: 4 |
| 256 | } |
| 257 | } |
| 258 | } |
| 259 | } |
| 260 | } |
| 261 | node { |
| 262 | name: "b" |
| 263 | op: "Placeholder" |
| 264 | attr { |
| 265 | key: "dtype" |
| 266 | value { |
| 267 | type: DT_INT32 |
| 268 | } |
| 269 | } |
| 270 | attr { |
| 271 | key: "shape" |
| 272 | value { |
| 273 | shape { |
| 274 | dim { |
| 275 | size: 1 |
| 276 | } |
| 277 | } |
| 278 | } |
| 279 | } |
| 280 | } |
| 281 | node { |
| 282 | name: "ExpandDims" |
| 283 | op: "ExpandDims" |
| 284 | input: "a" |
| 285 | input: "b" |
| 286 | attr { |
| 287 | key: "T" |
| 288 | value { |
| 289 | type: DT_FLOAT |
| 290 | } |
| 291 | } |
| 292 | attr { |
| 293 | key: "Tdim" |
| 294 | value { |
| 295 | type: DT_INT32 |
| 296 | } |
| 297 | } |
| 298 | } |
| 299 | versions { |
| 300 | producer: 134 |
| 301 | })"; |
| 302 | } |
| 303 | }; |
| 304 | |
| 305 | BOOST_FIXTURE_TEST_CASE(ParseExpandDimAsNotConstInput, ExpandDimsAsNotConstInputFixture) |
| 306 | { |
| 307 | // Axis parameter that describes which axis/dim should be expanded is passed as a second input. |
| 308 | // But is not a constant tensor --> not supported |
| 309 | BOOST_REQUIRE_THROW(Setup({{"a", {1,4}} ,{"b",{1,1}}}, { "ExpandDims" }), |
| 310 | armnn::ParseException); |
| 311 | } |
| 312 | |
Conor Kennedy | c2130a0 | 2018-12-05 11:05:54 +0000 | [diff] [blame] | 313 | BOOST_AUTO_TEST_SUITE_END() |