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 | |
| 8 | #include "armnnTfParser/ITfParser.hpp" |
| 9 | |
| 10 | #include "ParserPrototxtFixture.hpp" |
| 11 | |
| 12 | BOOST_AUTO_TEST_SUITE(TensorflowParser) |
| 13 | |
| 14 | // Tests that a Const node in Tensorflow can be converted to a ConstLayer in armnn (as opposed to most |
| 15 | // Const nodes which are used as weight inputs for convolutions etc. and are therefore not converted to |
| 16 | // armnn ConstLayers). |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 17 | struct ConstantFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 18 | { |
| 19 | ConstantFixture() |
| 20 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 21 | // Input = tf.placeholder(tf.float32, name = "input") |
| 22 | // Const = tf.constant([17], tf.float32, [1]) |
| 23 | // Output = tf.add(input, const, name = "output") |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 24 | m_Prototext = |
| 25 | R"( |
| 26 | node { |
| 27 | name: "input" |
| 28 | op: "Placeholder" |
| 29 | attr { |
| 30 | key: "dtype" |
| 31 | value { |
| 32 | type: DT_FLOAT |
| 33 | } |
| 34 | } |
| 35 | attr { |
| 36 | key: "shape" |
| 37 | value { |
| 38 | shape { |
| 39 | unknown_rank: true |
| 40 | } |
| 41 | } |
| 42 | } |
| 43 | } |
| 44 | node { |
| 45 | name: "Const" |
| 46 | op: "Const" |
| 47 | attr { |
| 48 | key: "dtype" |
| 49 | value { |
| 50 | type: DT_FLOAT |
| 51 | } |
| 52 | } |
| 53 | attr { |
| 54 | key: "value" |
| 55 | value { |
| 56 | tensor { |
| 57 | dtype: DT_FLOAT |
| 58 | tensor_shape { |
| 59 | dim { |
| 60 | size: 1 |
| 61 | } |
| 62 | } |
| 63 | float_val: 17.0 |
| 64 | } |
| 65 | } |
| 66 | } |
| 67 | } |
| 68 | node { |
| 69 | name: "output" |
| 70 | op: "Add" |
| 71 | input: "input" |
| 72 | input: "Const" |
| 73 | attr { |
| 74 | key: "T" |
| 75 | value { |
| 76 | type: DT_FLOAT |
| 77 | } |
| 78 | } |
| 79 | } |
| 80 | )"; |
| 81 | SetupSingleInputSingleOutput({ 1 }, "input", "output"); |
| 82 | } |
| 83 | }; |
| 84 | |
| 85 | BOOST_FIXTURE_TEST_CASE(Constant, ConstantFixture) |
| 86 | { |
| 87 | RunTest<1>({1}, {18}); |
| 88 | } |
| 89 | |
| 90 | |
| 91 | // Tests that a single Const node in Tensorflow can be used twice by a dependant node. This should result in only |
| 92 | // a single armnn ConstLayer being created. |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 93 | struct ConstantReusedFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 94 | { |
| 95 | ConstantReusedFixture() |
| 96 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 97 | // Const = tf.constant([17], tf.float32, [1]) |
| 98 | // Output = tf.add(const, const, name = "output") |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 99 | m_Prototext = |
| 100 | R"( |
| 101 | node { |
| 102 | name: "Const" |
| 103 | op: "Const" |
| 104 | attr { |
| 105 | key: "dtype" |
| 106 | value { |
| 107 | type: DT_FLOAT |
| 108 | } |
| 109 | } |
| 110 | attr { |
| 111 | key: "value" |
| 112 | value { |
| 113 | tensor { |
| 114 | dtype: DT_FLOAT |
| 115 | tensor_shape { |
| 116 | dim { |
| 117 | size: 1 |
| 118 | } |
| 119 | } |
| 120 | float_val: 17.0 |
| 121 | } |
| 122 | } |
| 123 | } |
| 124 | } |
| 125 | node { |
| 126 | name: "output" |
| 127 | op: "Add" |
| 128 | input: "Const" |
| 129 | input: "Const" |
| 130 | attr { |
| 131 | key: "T" |
| 132 | value { |
| 133 | type: DT_FLOAT |
| 134 | } |
| 135 | } |
| 136 | } |
| 137 | )"; |
| 138 | Setup({}, { "output" }); |
| 139 | } |
| 140 | }; |
| 141 | |
| 142 | BOOST_FIXTURE_TEST_CASE(ConstantReused, ConstantReusedFixture) |
| 143 | { |
| 144 | RunTest<1>({}, { { "output", { 34 } } }); |
| 145 | } |
| 146 | |
| 147 | template <int ListSize> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 148 | struct ConstantValueListFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 149 | { |
| 150 | ConstantValueListFixture() |
| 151 | { |
| 152 | m_Prototext = |
| 153 | R"( |
| 154 | node { |
| 155 | name: "output" |
| 156 | op: "Const" |
| 157 | attr { |
| 158 | key: "dtype" |
| 159 | value { |
| 160 | type: DT_FLOAT |
| 161 | } |
| 162 | } |
| 163 | attr { |
| 164 | key: "value" |
| 165 | value { |
| 166 | tensor { |
| 167 | dtype: DT_FLOAT |
| 168 | tensor_shape { |
| 169 | dim { |
| 170 | size: 2 |
| 171 | } |
| 172 | dim { |
| 173 | size: 3 |
| 174 | } |
| 175 | })"; |
| 176 | |
| 177 | double value = 0.75; |
| 178 | for (int i = 0; i < ListSize; i++, value += 0.25) |
| 179 | { |
| 180 | m_Prototext += std::string("float_val : ") + std::to_string(value) + "\n"; |
| 181 | } |
| 182 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 183 | m_Prototext += |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 184 | R"( |
| 185 | } |
| 186 | } |
| 187 | } |
| 188 | } |
| 189 | )"; |
| 190 | Setup({}, { "output" }); |
| 191 | } |
| 192 | }; |
| 193 | |
| 194 | using ConstantSingleValueListFixture = ConstantValueListFixture<1>; |
| 195 | using ConstantMultipleValueListFixture = ConstantValueListFixture<4>; |
| 196 | using ConstantMaxValueListFixture = ConstantValueListFixture<6>; |
| 197 | |
| 198 | BOOST_FIXTURE_TEST_CASE(ConstantSingleValueList, ConstantSingleValueListFixture) |
| 199 | { |
| 200 | RunTest<2>({}, { { "output", { 0.75f, 0.75f, 0.75f, 0.75f, 0.75f, 0.75f } } }); |
| 201 | } |
| 202 | BOOST_FIXTURE_TEST_CASE(ConstantMultipleValueList, ConstantMultipleValueListFixture) |
| 203 | { |
| 204 | RunTest<2>({}, { { "output", { 0.75f, 1.f, 1.25f, 1.5f, 1.5f, 1.5f } } }); |
| 205 | } |
| 206 | BOOST_FIXTURE_TEST_CASE(ConstantMaxValueList, ConstantMaxValueListFixture) |
| 207 | { |
| 208 | RunTest<2>({}, { { "output", { 0.75f, 1.f, 1.25f, 1.50f, 1.75f, 2.f } } }); |
| 209 | } |
| 210 | |
| 211 | template <bool WithShape, bool WithContent, bool WithValueList> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 212 | struct ConstantCreateFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 213 | { |
| 214 | ConstantCreateFixture() |
| 215 | { |
| 216 | m_Prototext = |
| 217 | R"( |
| 218 | node { |
| 219 | name: "output" |
| 220 | op: "Const" |
| 221 | attr { |
| 222 | key: "dtype" |
| 223 | value { |
| 224 | type: DT_FLOAT |
| 225 | } |
| 226 | } |
| 227 | attr { |
| 228 | key: "value" |
| 229 | value { |
| 230 | tensor { |
| 231 | dtype: DT_FLOAT |
| 232 | )"; |
| 233 | |
| 234 | if (WithShape) |
| 235 | { |
| 236 | m_Prototext += |
| 237 | R"( |
| 238 | tensor_shape { |
| 239 | dim { |
| 240 | size: 2 |
| 241 | } |
| 242 | dim { |
| 243 | size: 2 |
| 244 | } |
| 245 | } |
| 246 | )"; |
| 247 | } |
| 248 | else |
| 249 | { |
| 250 | m_Prototext += |
| 251 | R"( |
| 252 | tensor_shape { |
| 253 | } |
| 254 | )"; |
| 255 | } |
| 256 | |
| 257 | if (WithContent) |
| 258 | { |
| 259 | m_Prototext += |
| 260 | R"( |
| 261 | tensor_content: "\000\000\200?\000\000\200?\000\000\200?\000\000\200?\000\000\200?" |
| 262 | )"; |
| 263 | } |
| 264 | |
| 265 | if (WithValueList) |
| 266 | { |
| 267 | m_Prototext += |
| 268 | R"( |
| 269 | float_val: 1.0 |
| 270 | float_val: 1.0 |
| 271 | float_val: 1.0 |
| 272 | float_val: 1.0 |
| 273 | float_val: 1.0 |
| 274 | )"; |
| 275 | } |
| 276 | |
| 277 | m_Prototext += |
| 278 | R"( |
| 279 | } |
| 280 | } |
| 281 | } |
| 282 | } |
| 283 | )"; |
| 284 | } |
| 285 | }; |
| 286 | |
| 287 | using ConstantCreateNoValueListFixture = ConstantCreateFixture<true, false, true>; |
| 288 | using ConstantCreateNoValueList2Fixture = ConstantCreateFixture<true, false, false>; |
| 289 | using ConstantCreateNoContentFixture = ConstantCreateFixture<true, true, false>; |
| 290 | using ConstantCreateNoContent2Fixture = ConstantCreateFixture<true, false, false>; |
| 291 | using ConstantCreateNoShapeFixture = ConstantCreateFixture<false, false, false>; |
| 292 | using ConstantCreateNoShape2Fixture = ConstantCreateFixture<false, true, false>; |
| 293 | using ConstantCreateNoShape3Fixture = ConstantCreateFixture<false, false, true>; |
| 294 | |
| 295 | BOOST_FIXTURE_TEST_CASE(ConstantCreateInvalidValueList, ConstantCreateNoValueListFixture) |
| 296 | { |
| 297 | BOOST_REQUIRE_THROW(Setup({}, { "output" }), armnn::ParseException); |
| 298 | } |
| 299 | BOOST_FIXTURE_TEST_CASE(ConstantCreateInvalidValueList2, ConstantCreateNoValueList2Fixture) |
| 300 | { |
| 301 | BOOST_REQUIRE_THROW(Setup({}, { "output" }), armnn::ParseException); |
| 302 | } |
| 303 | BOOST_FIXTURE_TEST_CASE(ConstantCreateInvalidContent, ConstantCreateNoContentFixture) |
| 304 | { |
| 305 | BOOST_REQUIRE_THROW(Setup({}, { "output" }), armnn::ParseException); |
| 306 | } |
| 307 | BOOST_FIXTURE_TEST_CASE(ConstantCreateInvalidShape, ConstantCreateNoShapeFixture) |
| 308 | { |
| 309 | BOOST_REQUIRE_THROW(Setup({}, { "output" }), armnn::ParseException); |
| 310 | } |
| 311 | BOOST_FIXTURE_TEST_CASE(ConstantCreateNoShape2, ConstantCreateNoShape2Fixture) |
| 312 | { |
| 313 | BOOST_REQUIRE_THROW(Setup({}, { "output" }), armnn::ParseException); |
| 314 | } |
| 315 | BOOST_FIXTURE_TEST_CASE(ConstantCreateNoShape3, ConstantCreateNoShape3Fixture) |
| 316 | { |
| 317 | Setup({}, { "output" }); |
| 318 | RunTest<1>({}, { { "output", { 1.f, 1.f, 1.f, 1.f, 1.f } } }); |
| 319 | } |
| 320 | |
| 321 | BOOST_AUTO_TEST_SUITE_END() |