surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 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 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 12 | struct ConcatOfConcatsFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 13 | { |
| 14 | explicit ConcatOfConcatsFixture(const armnn::TensorShape& inputShape0, const armnn::TensorShape& inputShape1, |
| 15 | const armnn::TensorShape& inputShape2, const armnn::TensorShape& inputShape3, |
| 16 | unsigned int concatDim) |
| 17 | { |
| 18 | m_Prototext = R"( |
| 19 | node { |
| 20 | name: "graphInput0" |
| 21 | op: "Placeholder" |
| 22 | attr { |
| 23 | key: "dtype" |
| 24 | value { |
| 25 | type: DT_FLOAT |
| 26 | } |
| 27 | } |
| 28 | attr { |
| 29 | key: "shape" |
| 30 | value { |
| 31 | shape { |
| 32 | } |
| 33 | } |
| 34 | } |
| 35 | } |
| 36 | node { |
| 37 | name: "graphInput1" |
| 38 | op: "Placeholder" |
| 39 | attr { |
| 40 | key: "dtype" |
| 41 | value { |
| 42 | type: DT_FLOAT |
| 43 | } |
| 44 | } |
| 45 | attr { |
| 46 | key: "shape" |
| 47 | value { |
| 48 | shape { |
| 49 | } |
| 50 | } |
| 51 | } |
| 52 | } |
| 53 | node { |
| 54 | name: "graphInput2" |
| 55 | op: "Placeholder" |
| 56 | attr { |
| 57 | key: "dtype" |
| 58 | value { |
| 59 | type: DT_FLOAT |
| 60 | } |
| 61 | } |
| 62 | attr { |
| 63 | key: "shape" |
| 64 | value { |
| 65 | shape { |
| 66 | } |
| 67 | } |
| 68 | } |
| 69 | } |
| 70 | node { |
| 71 | name: "graphInput3" |
| 72 | op: "Placeholder" |
| 73 | attr { |
| 74 | key: "dtype" |
| 75 | value { |
| 76 | type: DT_FLOAT |
| 77 | } |
| 78 | } |
| 79 | attr { |
| 80 | key: "shape" |
| 81 | value { |
| 82 | shape { |
| 83 | } |
| 84 | } |
| 85 | } |
| 86 | } |
| 87 | node { |
| 88 | name: "Relu" |
| 89 | op: "Relu" |
| 90 | input: "graphInput0" |
| 91 | attr { |
| 92 | key: "T" |
| 93 | value { |
| 94 | type: DT_FLOAT |
| 95 | } |
| 96 | } |
| 97 | } |
| 98 | node { |
| 99 | name: "Relu_1" |
| 100 | op: "Relu" |
| 101 | input: "graphInput1" |
| 102 | attr { |
| 103 | key: "T" |
| 104 | value { |
| 105 | type: DT_FLOAT |
| 106 | } |
| 107 | } |
| 108 | } |
| 109 | node { |
| 110 | name: "Relu_2" |
| 111 | op: "Relu" |
| 112 | input: "graphInput2" |
| 113 | attr { |
| 114 | key: "T" |
| 115 | value { |
| 116 | type: DT_FLOAT |
| 117 | } |
| 118 | } |
| 119 | } |
| 120 | node { |
| 121 | name: "Relu_3" |
| 122 | op: "Relu" |
| 123 | input: "graphInput3" |
| 124 | attr { |
| 125 | key: "T" |
| 126 | value { |
| 127 | type: DT_FLOAT |
| 128 | } |
| 129 | } |
| 130 | } |
| 131 | node { |
| 132 | name: "concat/axis" |
| 133 | op: "Const" |
| 134 | attr { |
| 135 | key: "dtype" |
| 136 | value { |
| 137 | type: DT_INT32 |
| 138 | } |
| 139 | } |
| 140 | attr { |
| 141 | key: "value" |
| 142 | value { |
| 143 | tensor { |
| 144 | dtype: DT_INT32 |
| 145 | tensor_shape { |
| 146 | } |
| 147 | int_val: )"; |
| 148 | m_Prototext += std::to_string(concatDim); |
| 149 | m_Prototext += R"( |
| 150 | } |
| 151 | } |
| 152 | } |
| 153 | } |
| 154 | node { |
| 155 | name: "concat" |
| 156 | op: "ConcatV2" |
| 157 | input: "Relu" |
| 158 | input: "Relu_1" |
| 159 | input: "concat/axis" |
| 160 | attr { |
| 161 | key: "N" |
| 162 | value { |
| 163 | i: 2 |
| 164 | } |
| 165 | } |
| 166 | attr { |
| 167 | key: "T" |
| 168 | value { |
| 169 | type: DT_FLOAT |
| 170 | } |
| 171 | } |
| 172 | attr { |
| 173 | key: "Tidx" |
| 174 | value { |
| 175 | type: DT_INT32 |
| 176 | } |
| 177 | } |
| 178 | } |
| 179 | node { |
| 180 | name: "concat_1/axis" |
| 181 | op: "Const" |
| 182 | attr { |
| 183 | key: "dtype" |
| 184 | value { |
| 185 | type: DT_INT32 |
| 186 | } |
| 187 | } |
| 188 | attr { |
| 189 | key: "value" |
| 190 | value { |
| 191 | tensor { |
| 192 | dtype: DT_INT32 |
| 193 | tensor_shape { |
| 194 | } |
| 195 | int_val: )"; |
| 196 | m_Prototext += std::to_string(concatDim); |
| 197 | m_Prototext += R"( |
| 198 | } |
| 199 | } |
| 200 | } |
| 201 | } |
| 202 | node { |
| 203 | name: "concat_1" |
| 204 | op: "ConcatV2" |
| 205 | input: "Relu_2" |
| 206 | input: "Relu_3" |
| 207 | input: "concat_1/axis" |
| 208 | attr { |
| 209 | key: "N" |
| 210 | value { |
| 211 | i: 2 |
| 212 | } |
| 213 | } |
| 214 | attr { |
| 215 | key: "T" |
| 216 | value { |
| 217 | type: DT_FLOAT |
| 218 | } |
| 219 | } |
| 220 | attr { |
| 221 | key: "Tidx" |
| 222 | value { |
| 223 | type: DT_INT32 |
| 224 | } |
| 225 | } |
| 226 | } |
| 227 | node { |
| 228 | name: "concat_2/axis" |
| 229 | op: "Const" |
| 230 | attr { |
| 231 | key: "dtype" |
| 232 | value { |
| 233 | type: DT_INT32 |
| 234 | } |
| 235 | } |
| 236 | attr { |
| 237 | key: "value" |
| 238 | value { |
| 239 | tensor { |
| 240 | dtype: DT_INT32 |
| 241 | tensor_shape { |
| 242 | } |
| 243 | int_val: )"; |
| 244 | m_Prototext += std::to_string(concatDim); |
| 245 | m_Prototext += R"( |
| 246 | } |
| 247 | } |
| 248 | } |
| 249 | } |
| 250 | node { |
| 251 | name: "concat_2" |
| 252 | op: "ConcatV2" |
| 253 | input: "concat" |
| 254 | input: "concat_1" |
| 255 | input: "concat_2/axis" |
| 256 | attr { |
| 257 | key: "N" |
| 258 | value { |
| 259 | i: 2 |
| 260 | } |
| 261 | } |
| 262 | attr { |
| 263 | key: "T" |
| 264 | value { |
| 265 | type: DT_FLOAT |
| 266 | } |
| 267 | } |
| 268 | attr { |
| 269 | key: "Tidx" |
| 270 | value { |
| 271 | type: DT_INT32 |
| 272 | } |
| 273 | } |
| 274 | } |
| 275 | )"; |
| 276 | |
| 277 | Setup({{ "graphInput0", inputShape0 }, |
| 278 | { "graphInput1", inputShape1 }, |
| 279 | { "graphInput2", inputShape2 }, |
| 280 | { "graphInput3", inputShape3}}, {"concat_2"}); |
| 281 | } |
| 282 | }; |
| 283 | |
| 284 | struct ConcatOfConcatsFixtureNCHW : ConcatOfConcatsFixture |
| 285 | { |
| 286 | ConcatOfConcatsFixtureNCHW() : ConcatOfConcatsFixture({ 1, 1, 2, 2 }, { 1, 1, 2, 2 }, { 1, 1, 2, 2 }, |
| 287 | { 1, 1, 2, 2 }, 1 ) {} |
| 288 | }; |
| 289 | |
| 290 | struct ConcatOfConcatsFixtureNHWC : ConcatOfConcatsFixture |
| 291 | { |
| 292 | ConcatOfConcatsFixtureNHWC() : ConcatOfConcatsFixture({ 1, 1, 2, 2 }, { 1, 1, 2, 2 }, { 1, 1, 2, 2 }, |
| 293 | { 1, 1, 2, 2 }, 3 ) {} |
| 294 | }; |
| 295 | |
| 296 | BOOST_FIXTURE_TEST_CASE(ParseConcatOfConcatsNCHW, ConcatOfConcatsFixtureNCHW) |
| 297 | { |
| 298 | RunTest<4>({{"graphInput0", {0.0, 1.0, 2.0, 3.0}}, |
| 299 | {"graphInput1", {4.0, 5.0, 6.0, 7.0}}, |
| 300 | {"graphInput2", {8.0, 9.0, 10.0, 11.0}}, |
| 301 | {"graphInput3", {12.0, 13.0, 14.0, 15.0}}}, |
| 302 | {{"concat_2", { 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, |
| 303 | 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0 }}}); |
| 304 | } |
| 305 | |
| 306 | BOOST_FIXTURE_TEST_CASE(ParseConcatOfConcatsNHWC, ConcatOfConcatsFixtureNHWC) |
| 307 | { |
| 308 | RunTest<4>({{"graphInput0", {0.0, 1.0, 2.0, 3.0}}, |
| 309 | {"graphInput1", {4.0, 5.0, 6.0, 7.0}}, |
| 310 | {"graphInput2", {8.0, 9.0, 10.0, 11.0}}, |
| 311 | {"graphInput3", {12.0, 13.0, 14.0, 15.0}}}, |
| 312 | {{"concat_2", { 0.0, 1.0, 4.0, 5.0, 8.0, 9.0, 12.0, 13.0, |
| 313 | 2.0, 3.0, 6.0, 7.0, 10.0, 11.0, 14.0, 15.0 }}}); |
| 314 | } |
| 315 | |
| 316 | BOOST_AUTO_TEST_SUITE_END() |