narpra01 | 6f37f83 | 2018-12-21 18:30:00 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "armnnTfParser/ITfParser.hpp" |
| 7 | #include "ParserPrototxtFixture.hpp" |
| 8 | #include "test/GraphUtils.hpp" |
| 9 | |
| 10 | #include <boost/test/unit_test.hpp> |
| 11 | |
| 12 | BOOST_AUTO_TEST_SUITE(TensorflowParser) |
| 13 | |
| 14 | struct AssertSimpleFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
| 15 | { |
| 16 | AssertSimpleFixture() |
| 17 | { |
| 18 | // Placeholder AssertInput |
| 19 | // | \ / |
| 20 | // Add ------ Assert |
| 21 | |
| 22 | m_Prototext = R"( |
| 23 | node { |
| 24 | name: "Placeholder" |
| 25 | op: "Placeholder" |
| 26 | attr { |
| 27 | key: "dtype" |
| 28 | value { |
| 29 | type: DT_FLOAT |
| 30 | } |
| 31 | } |
| 32 | attr { |
| 33 | key: "shape" |
| 34 | value { |
| 35 | shape { |
| 36 | unknown_rank: true |
| 37 | } |
| 38 | } |
| 39 | } |
| 40 | } |
| 41 | node { |
| 42 | name: "AssertInput" |
| 43 | op: "Const" |
| 44 | attr { |
| 45 | key: "dtype" |
| 46 | value { |
| 47 | type: DT_FLOAT |
| 48 | } |
| 49 | } |
| 50 | attr { |
| 51 | key: "value" |
| 52 | value { |
| 53 | tensor { |
| 54 | dtype: DT_FLOAT |
| 55 | tensor_shape { |
| 56 | dim { |
| 57 | size: 1 |
| 58 | } |
| 59 | } |
| 60 | float_val: 17.0 |
| 61 | } |
| 62 | } |
| 63 | } |
| 64 | } |
| 65 | node { |
| 66 | name: "Assert" |
| 67 | op: "Assert" |
| 68 | input: "Placeholder" |
| 69 | input: "AssertInput" |
| 70 | attr { |
| 71 | key: "T" |
| 72 | value { |
| 73 | type: DT_FLOAT |
| 74 | } |
| 75 | } |
| 76 | } |
| 77 | node { |
| 78 | name: "Add" |
| 79 | op: "Add" |
| 80 | input: "Placeholder" |
| 81 | input: "Placeholder" |
| 82 | input: "^Assert" |
| 83 | attr { |
| 84 | key: "T" |
| 85 | value { |
| 86 | type: DT_FLOAT |
| 87 | } |
| 88 | } |
| 89 | })"; |
| 90 | } |
| 91 | }; |
| 92 | |
| 93 | BOOST_FIXTURE_TEST_CASE(AssertSimpleTest, AssertSimpleFixture) |
| 94 | { |
| 95 | SetupSingleInputSingleOutput({ 1, 1, 1, 4 }, "Placeholder", "Add"); |
| 96 | RunTest<4>({ 1.0f, 2.0f, 3.0f, 4.0f }, { 2.0f, 4.0f, 6.0f, 8.0f }); |
| 97 | } |
| 98 | |
| 99 | BOOST_FIXTURE_TEST_CASE(AssertSimpleGraphStructureTest, AssertSimpleFixture) |
| 100 | { |
| 101 | auto optimized = SetupOptimizedNetwork({ { "Placeholder", { 1, 1, 1, 4 } } }, { "Add" }); |
| 102 | |
| 103 | auto optimizedNetwork = boost::polymorphic_downcast<armnn::OptimizedNetwork*>(optimized.get()); |
| 104 | auto graph = optimizedNetwork->GetGraph(); |
| 105 | |
| 106 | BOOST_TEST((graph.GetNumInputs() == 1)); |
| 107 | BOOST_TEST((graph.GetNumOutputs() == 1)); |
| 108 | BOOST_TEST((graph.GetNumLayers() == 3)); |
| 109 | |
| 110 | armnn::Layer* inputLayer = GetFirstLayerWithName(graph, "Placeholder"); |
| 111 | BOOST_TEST((inputLayer->GetType() == armnn::LayerType::Input)); |
| 112 | BOOST_TEST(CheckNumberOfInputSlot(inputLayer, 0)); |
| 113 | BOOST_TEST(CheckNumberOfOutputSlot(inputLayer, 1)); |
| 114 | |
| 115 | armnn::Layer* addLayer = GetFirstLayerWithName(graph, "Add"); |
| 116 | BOOST_TEST((addLayer->GetType() == armnn::LayerType::Addition)); |
| 117 | BOOST_TEST(CheckNumberOfInputSlot(addLayer, 2)); |
| 118 | BOOST_TEST(CheckNumberOfOutputSlot(addLayer, 1)); |
| 119 | |
| 120 | armnn::TensorInfo tensorInfo(armnn::TensorShape({1, 1, 1, 4}), armnn::DataType::Float32); |
| 121 | BOOST_TEST(IsConnected(inputLayer, addLayer, 0, 0, tensorInfo)); |
| 122 | BOOST_TEST(IsConnected(inputLayer, addLayer, 0, 1, tensorInfo)); |
| 123 | |
| 124 | for (auto&& outputLayer : graph.GetOutputLayers()) |
| 125 | { |
| 126 | BOOST_TEST(IsConnected(addLayer, const_cast<armnn::OutputLayer*>(outputLayer), 0, 0, tensorInfo)); |
| 127 | } |
| 128 | } |
| 129 | |
| 130 | struct AssertFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
| 131 | { |
| 132 | AssertFixture() |
| 133 | { |
| 134 | // Input0 Input1 Input2 |
| 135 | // | \ / | |
| 136 | // | Sub ------ Assert |
| 137 | // \ / / |
| 138 | // Output ------- |
| 139 | |
| 140 | m_Prototext = R"( |
| 141 | node { |
| 142 | name: "Input0" |
| 143 | op: "Placeholder" |
| 144 | attr { |
| 145 | key: "dtype" |
| 146 | value { |
| 147 | type: DT_FLOAT |
| 148 | } |
| 149 | } |
| 150 | attr { |
| 151 | key: "shape" |
| 152 | value { |
| 153 | shape { |
| 154 | unknown_rank: true |
| 155 | } |
| 156 | } |
| 157 | } |
| 158 | } |
| 159 | node { |
| 160 | name: "Input1" |
| 161 | op: "Placeholder" |
| 162 | attr { |
| 163 | key: "dtype" |
| 164 | value { |
| 165 | type: DT_FLOAT |
| 166 | } |
| 167 | } |
| 168 | attr { |
| 169 | key: "shape" |
| 170 | value { |
| 171 | shape { |
| 172 | unknown_rank: true |
| 173 | } |
| 174 | } |
| 175 | } |
| 176 | } |
| 177 | node { |
| 178 | name: "Sub" |
| 179 | op: "Sub" |
| 180 | input: "Input0" |
| 181 | input: "Input1" |
| 182 | attr { |
| 183 | key: "T" |
| 184 | value { |
| 185 | type: DT_FLOAT |
| 186 | } |
| 187 | } |
| 188 | } |
| 189 | node { |
| 190 | name: "Input2" |
| 191 | op: "Placeholder" |
| 192 | attr { |
| 193 | key: "dtype" |
| 194 | value { |
| 195 | type: DT_FLOAT |
| 196 | } |
| 197 | } |
| 198 | attr { |
| 199 | key: "shape" |
| 200 | value { |
| 201 | shape { |
| 202 | unknown_rank: true |
| 203 | } |
| 204 | } |
| 205 | } |
| 206 | } |
| 207 | node { |
| 208 | name: "Assert" |
| 209 | op: "Assert" |
| 210 | input: "Input2" |
| 211 | input: "Sub" |
| 212 | attr { |
| 213 | key: "T" |
| 214 | value { |
| 215 | type: DT_FLOAT |
| 216 | } |
| 217 | } |
| 218 | } |
| 219 | node { |
| 220 | name: "Output" |
| 221 | op: "Add" |
| 222 | input: "Input0" |
| 223 | input: "Sub" |
| 224 | input: "^Assert" |
| 225 | attr { |
| 226 | key: "T" |
| 227 | value { |
| 228 | type: DT_FLOAT |
| 229 | } |
| 230 | } |
| 231 | })"; |
| 232 | |
| 233 | |
| 234 | } |
| 235 | }; |
| 236 | |
| 237 | BOOST_FIXTURE_TEST_CASE(AssertTest, AssertFixture) |
| 238 | { |
| 239 | Setup({ { "Input0", { 1, 1, 2, 2 } }, |
| 240 | { "Input1", { 1, 1, 2, 2 } } }, |
| 241 | { "Output" }); |
| 242 | |
| 243 | RunTest<4>({ { "Input0", { 4.0f, 3.0f, |
| 244 | 2.0f, 1.0f } }, |
| 245 | |
| 246 | { "Input1", { 1.0f, 2.0f, |
| 247 | 3.0f, 4.0f } } }, |
| 248 | |
| 249 | { { "Output", { 7.0f, 4.0f, |
| 250 | 1.0f, -2.0f } } }); |
| 251 | } |
| 252 | |
| 253 | BOOST_FIXTURE_TEST_CASE(AssertGraphStructureTest, AssertFixture) |
| 254 | { |
| 255 | auto optimized = SetupOptimizedNetwork({ { "Input0", { 1, 1, 2, 2 } }, |
| 256 | { "Input1", { 1, 1, 2, 2 } } }, |
| 257 | { "Output" }); |
| 258 | |
| 259 | auto optimizedNetwork = boost::polymorphic_downcast<armnn::OptimizedNetwork*>(optimized.get()); |
| 260 | auto graph = optimizedNetwork->GetGraph(); |
| 261 | |
| 262 | BOOST_TEST((graph.GetNumInputs() == 2)); |
| 263 | BOOST_TEST((graph.GetNumOutputs() == 1)); |
| 264 | BOOST_TEST((graph.GetNumLayers() == 5)); |
| 265 | |
| 266 | armnn::Layer* inputLayer0 = GetFirstLayerWithName(graph, "Input0"); |
| 267 | BOOST_TEST((inputLayer0->GetType() == armnn::LayerType::Input)); |
| 268 | BOOST_TEST(CheckNumberOfInputSlot(inputLayer0, 0)); |
| 269 | BOOST_TEST(CheckNumberOfOutputSlot(inputLayer0, 1)); |
| 270 | |
| 271 | armnn::Layer* inputLayer1 = GetFirstLayerWithName(graph, "Input1"); |
| 272 | BOOST_TEST((inputLayer1->GetType() == armnn::LayerType::Input)); |
| 273 | BOOST_TEST(CheckNumberOfInputSlot(inputLayer1, 0)); |
| 274 | BOOST_TEST(CheckNumberOfOutputSlot(inputLayer1, 1)); |
| 275 | |
| 276 | armnn::Layer* subLayer = GetFirstLayerWithName(graph, "Sub"); |
| 277 | BOOST_TEST((subLayer->GetType() == armnn::LayerType::Subtraction)); |
| 278 | BOOST_TEST(CheckNumberOfInputSlot(subLayer, 2)); |
| 279 | BOOST_TEST(CheckNumberOfOutputSlot(subLayer, 1)); |
| 280 | |
| 281 | armnn::Layer* addLayer = GetFirstLayerWithName(graph, "Output"); |
| 282 | BOOST_TEST((addLayer->GetType() == armnn::LayerType::Addition)); |
| 283 | BOOST_TEST(CheckNumberOfInputSlot(addLayer, 2)); |
| 284 | BOOST_TEST(CheckNumberOfOutputSlot(addLayer, 1)); |
| 285 | |
| 286 | armnn::TensorInfo tensorInfo(armnn::TensorShape({1, 1, 2, 2}), armnn::DataType::Float32); |
| 287 | BOOST_TEST(IsConnected(inputLayer0, subLayer, 0, 0, tensorInfo)); |
| 288 | BOOST_TEST(IsConnected(inputLayer1, subLayer, 0, 1, tensorInfo)); |
| 289 | BOOST_TEST(IsConnected(inputLayer0, addLayer, 0, 0, tensorInfo)); |
| 290 | BOOST_TEST(IsConnected(subLayer, addLayer, 0, 1, tensorInfo)); |
| 291 | |
| 292 | for (auto&& outputLayer : graph.GetOutputLayers()) |
| 293 | { |
| 294 | BOOST_TEST(IsConnected(addLayer, const_cast<armnn::OutputLayer*>(outputLayer), 0, 0, tensorInfo)); |
| 295 | } |
| 296 | } |
| 297 | |
| 298 | |
| 299 | BOOST_AUTO_TEST_SUITE_END() |