Georgios Pinitas | 5e90aab | 2020-02-14 14:46:51 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2020 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "armnnTfParser/ITfParser.hpp" |
| 7 | |
| 8 | #include "ParserPrototxtFixture.hpp" |
| 9 | #include <PrototxtConversions.hpp> |
| 10 | |
| 11 | #include <boost/test/unit_test.hpp> |
| 12 | |
| 13 | BOOST_AUTO_TEST_SUITE(TensorflowParser) |
| 14 | |
| 15 | namespace { |
| 16 | // helper for setting the dimensions in prototxt |
| 17 | void shapeHelper(const armnn::TensorShape& shape, std::string& text){ |
| 18 | for(u_int i = 0; i < shape.GetNumDimensions(); ++i) { |
| 19 | text.append(R"(dim { |
| 20 | size: )"); |
| 21 | text.append(std::to_string(shape[i])); |
| 22 | text.append(R"( |
| 23 | })"); |
| 24 | } |
| 25 | } |
| 26 | |
| 27 | // helper for converting from integer to octal representation |
| 28 | void octalHelper(const std::vector<int>& content, std::string& text){ |
| 29 | for (unsigned int i = 0; i < content.size(); ++i) |
| 30 | { |
| 31 | text.append(armnnUtils::ConvertInt32ToOctalString(static_cast<int>(content[i]))); |
| 32 | } |
| 33 | } |
| 34 | } // namespace |
| 35 | |
| 36 | struct StridedSliceFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
| 37 | { |
| 38 | StridedSliceFixture(const armnn::TensorShape& inputShape, |
| 39 | const std::vector<int>& beginData, |
| 40 | const std::vector<int>& endData, |
| 41 | const std::vector<int>& stridesData, |
| 42 | int beginMask = 0, |
| 43 | int endMask = 0, |
| 44 | int ellipsisMask = 0, |
| 45 | int newAxisMask = 0, |
| 46 | int shrinkAxisMask = 0) |
| 47 | { |
| 48 | m_Prototext = R"( |
| 49 | node { |
| 50 | name: "input" |
| 51 | op: "Placeholder" |
| 52 | attr { |
| 53 | key: "dtype" |
| 54 | value { |
| 55 | type: DT_FLOAT |
| 56 | } |
| 57 | } |
| 58 | attr { |
| 59 | key: "shape" |
| 60 | value { |
| 61 | shape {)"; |
| 62 | shapeHelper(inputShape, m_Prototext); |
| 63 | m_Prototext.append(R"( |
| 64 | } |
| 65 | } |
| 66 | } |
| 67 | } |
| 68 | node { |
| 69 | name: "begin" |
| 70 | op: "Const" |
| 71 | attr { |
| 72 | key: "dtype" |
| 73 | value { |
| 74 | type: DT_INT32 |
| 75 | } |
| 76 | } |
| 77 | attr { |
| 78 | key: "value" |
| 79 | value { |
| 80 | tensor { |
| 81 | dtype: DT_INT32 |
| 82 | tensor_shape { |
| 83 | dim { |
| 84 | size: )"); |
| 85 | m_Prototext += std::to_string(beginData.size()); |
| 86 | m_Prototext.append(R"( |
| 87 | } |
| 88 | } |
| 89 | tensor_content: ")"); |
| 90 | octalHelper(beginData, m_Prototext); |
| 91 | m_Prototext.append(R"(" |
| 92 | } |
| 93 | } |
| 94 | } |
| 95 | } |
| 96 | node { |
| 97 | name: "end" |
| 98 | op: "Const" |
| 99 | attr { |
| 100 | key: "dtype" |
| 101 | value { |
| 102 | type: DT_INT32 |
| 103 | } |
| 104 | } |
| 105 | attr { |
| 106 | key: "value" |
| 107 | value { |
| 108 | tensor { |
| 109 | dtype: DT_INT32 |
| 110 | tensor_shape { |
| 111 | dim { |
| 112 | size: )"); |
| 113 | m_Prototext += std::to_string(endData.size()); |
| 114 | m_Prototext.append(R"( |
| 115 | } |
| 116 | } |
| 117 | tensor_content: ")"); |
| 118 | octalHelper(endData, m_Prototext); |
| 119 | m_Prototext.append(R"(" |
| 120 | } |
| 121 | } |
| 122 | } |
| 123 | } |
| 124 | node { |
| 125 | name: "strides" |
| 126 | op: "Const" |
| 127 | attr { |
| 128 | key: "dtype" |
| 129 | value { |
| 130 | type: DT_INT32 |
| 131 | } |
| 132 | } |
| 133 | attr { |
| 134 | key: "value" |
| 135 | value { |
| 136 | tensor { |
| 137 | dtype: DT_INT32 |
| 138 | tensor_shape { |
| 139 | dim { |
| 140 | size: )"); |
| 141 | m_Prototext += std::to_string(stridesData.size()); |
| 142 | m_Prototext.append(R"( |
| 143 | } |
| 144 | } |
| 145 | tensor_content: ")"); |
| 146 | octalHelper(stridesData, m_Prototext); |
| 147 | m_Prototext.append(R"(" |
| 148 | } |
| 149 | } |
| 150 | } |
| 151 | } |
| 152 | node { |
| 153 | name: "output" |
| 154 | op: "StridedSlice" |
| 155 | input: "input" |
| 156 | input: "begin" |
| 157 | input: "end" |
| 158 | input: "strides" |
| 159 | attr { |
| 160 | key: "begin_mask" |
| 161 | value { |
| 162 | i: )"); |
| 163 | m_Prototext += std::to_string(beginMask); |
| 164 | m_Prototext.append(R"( |
| 165 | } |
| 166 | } |
| 167 | attr { |
| 168 | key: "end_mask" |
| 169 | value { |
| 170 | i: )"); |
| 171 | m_Prototext += std::to_string(endMask); |
| 172 | m_Prototext.append(R"( |
| 173 | } |
| 174 | } |
| 175 | attr { |
| 176 | key: "ellipsis_mask" |
| 177 | value { |
| 178 | i: )"); |
| 179 | m_Prototext += std::to_string(ellipsisMask); |
| 180 | m_Prototext.append(R"( |
| 181 | } |
| 182 | } |
| 183 | attr { |
| 184 | key: "new_axis_mask" |
| 185 | value { |
| 186 | i: )"); |
| 187 | m_Prototext += std::to_string(newAxisMask); |
| 188 | m_Prototext.append(R"( |
| 189 | } |
| 190 | } |
| 191 | attr { |
| 192 | key: "shrink_axis_mask" |
| 193 | value { |
| 194 | i: )"); |
| 195 | m_Prototext += std::to_string(shrinkAxisMask); |
| 196 | m_Prototext.append(R"( |
| 197 | } |
| 198 | } |
| 199 | })"); |
| 200 | |
| 201 | Setup({ { "input", inputShape } }, { "output" }); |
| 202 | } |
| 203 | }; |
| 204 | |
| 205 | struct StridedSlice4DFixture : StridedSliceFixture |
| 206 | { |
| 207 | StridedSlice4DFixture() : StridedSliceFixture({ 3, 2, 3, 1 }, // inputShape |
| 208 | { 1, 0, 0, 0 }, // beginData |
| 209 | { 2, 2, 3, 1 }, // endData |
| 210 | { 1, 1, 1, 1 } // stridesData |
| 211 | ) {} |
| 212 | }; |
| 213 | |
| 214 | BOOST_FIXTURE_TEST_CASE(StridedSlice4D, StridedSlice4DFixture) |
| 215 | { |
| 216 | RunTest<4>( |
| 217 | {{"input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, |
| 218 | 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, |
| 219 | 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}}, |
| 220 | {{"output", { 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f }}}); |
| 221 | } |
| 222 | |
| 223 | struct StridedSlice4DReverseFixture : StridedSliceFixture |
| 224 | { |
| 225 | |
| 226 | StridedSlice4DReverseFixture() : StridedSliceFixture({ 3, 2, 3, 1 }, // inputShape |
| 227 | { 1, -1, 0, 0 }, // beginData |
| 228 | { 2, -3, 3, 1 }, // endData |
| 229 | { 1, -1, 1, 1 } // stridesData |
| 230 | ) {} |
| 231 | }; |
| 232 | |
| 233 | BOOST_FIXTURE_TEST_CASE(StridedSlice4DReverse, StridedSlice4DReverseFixture) |
| 234 | { |
| 235 | RunTest<4>( |
| 236 | {{"input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, |
| 237 | 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, |
| 238 | 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}}, |
| 239 | {{"output", { 4.0f, 4.0f, 4.0f, 3.0f, 3.0f, 3.0f }}}); |
| 240 | } |
| 241 | |
| 242 | struct StridedSliceSimpleStrideFixture : StridedSliceFixture |
| 243 | { |
| 244 | StridedSliceSimpleStrideFixture() : StridedSliceFixture({ 3, 2, 3, 1 }, // inputShape |
| 245 | { 0, 0, 0, 0 }, // beginData |
| 246 | { 3, 2, 3, 1 }, // endData |
| 247 | { 2, 2, 2, 1 } // stridesData |
| 248 | ) {} |
| 249 | }; |
| 250 | |
| 251 | BOOST_FIXTURE_TEST_CASE(StridedSliceSimpleStride, StridedSliceSimpleStrideFixture) |
| 252 | { |
| 253 | RunTest<4>( |
| 254 | {{"input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, |
| 255 | 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, |
| 256 | 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}}, |
| 257 | {{"output", { 1.0f, 1.0f, |
| 258 | 5.0f, 5.0f }}}); |
| 259 | } |
| 260 | |
| 261 | struct StridedSliceSimpleRangeMaskFixture : StridedSliceFixture |
| 262 | { |
| 263 | StridedSliceSimpleRangeMaskFixture() : StridedSliceFixture({ 3, 2, 3, 1 }, // inputShape |
| 264 | { 1, 1, 1, 1 }, // beginData |
| 265 | { 1, 1, 1, 1 }, // endData |
| 266 | { 1, 1, 1, 1 }, // stridesData |
| 267 | (1 << 4) - 1, // beginMask |
| 268 | (1 << 4) - 1 // endMask |
| 269 | ) {} |
| 270 | }; |
| 271 | |
| 272 | BOOST_FIXTURE_TEST_CASE(StridedSliceSimpleRangeMask, StridedSliceSimpleRangeMaskFixture) |
| 273 | { |
| 274 | RunTest<4>( |
| 275 | {{"input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, |
| 276 | 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, |
| 277 | 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}}, |
| 278 | {{"output", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, |
| 279 | 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, |
| 280 | 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}}); |
| 281 | } |
| 282 | |
| 283 | BOOST_AUTO_TEST_SUITE_END() |