surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame^] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // See LICENSE file in the project root for full license information. |
| 4 | // |
| 5 | #include "DriverTestHelpers.hpp" |
| 6 | #include <boost/test/unit_test.hpp> |
| 7 | #include <log/log.h> |
| 8 | |
| 9 | BOOST_AUTO_TEST_SUITE(GenericLayerTests) |
| 10 | |
| 11 | using ArmnnDriver = armnn_driver::ArmnnDriver; |
| 12 | using DriverOptions = armnn_driver::DriverOptions; |
| 13 | using namespace driverTestHelpers; |
| 14 | |
| 15 | BOOST_AUTO_TEST_CASE(GetSupportedOperations) |
| 16 | { |
| 17 | auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef)); |
| 18 | |
| 19 | ErrorStatus error; |
| 20 | std::vector<bool> sup; |
| 21 | |
| 22 | ArmnnDriver::getSupportedOperations_cb cb = [&](ErrorStatus status, const std::vector<bool>& supported) |
| 23 | { |
| 24 | error = status; |
| 25 | sup = supported; |
| 26 | }; |
| 27 | |
| 28 | Model model1 = {}; |
| 29 | |
| 30 | // add operands |
| 31 | int32_t actValue = 0; |
| 32 | float weightValue[] = {2, 4, 1}; |
| 33 | float biasValue[] = {4}; |
| 34 | |
| 35 | AddInputOperand(model1, hidl_vec<uint32_t>{1, 3}); |
| 36 | AddTensorOperand(model1, hidl_vec<uint32_t>{1, 3}, weightValue); |
| 37 | AddTensorOperand(model1, hidl_vec<uint32_t>{1}, biasValue); |
| 38 | AddIntOperand(model1, actValue); |
| 39 | AddOutputOperand(model1, hidl_vec<uint32_t>{1, 1}); |
| 40 | |
| 41 | // make a correct fully connected operation |
| 42 | model1.operations.resize(2); |
| 43 | model1.operations[0].type = OperationType::FULLY_CONNECTED; |
| 44 | model1.operations[0].inputs = hidl_vec<uint32_t>{0, 1, 2, 3}; |
| 45 | model1.operations[0].outputs = hidl_vec<uint32_t>{4}; |
| 46 | |
| 47 | // make an incorrect fully connected operation |
| 48 | AddIntOperand(model1, actValue); |
| 49 | AddOutputOperand(model1, hidl_vec<uint32_t>{1, 1}); |
| 50 | model1.operations[1].type = OperationType::FULLY_CONNECTED; |
| 51 | model1.operations[1].inputs = hidl_vec<uint32_t>{4}; |
| 52 | model1.operations[1].outputs = hidl_vec<uint32_t>{5}; |
| 53 | |
| 54 | driver->getSupportedOperations(model1, cb); |
| 55 | BOOST_TEST((int)error == (int)ErrorStatus::NONE); |
| 56 | BOOST_TEST(sup[0] == true); |
| 57 | BOOST_TEST(sup[1] == false); |
| 58 | |
| 59 | // Broadcast add/mul are not supported |
| 60 | Model model2 = {}; |
| 61 | |
| 62 | AddInputOperand(model2, hidl_vec<uint32_t>{1, 1, 3, 4}); |
| 63 | AddInputOperand(model2, hidl_vec<uint32_t>{4}); |
| 64 | AddOutputOperand(model2, hidl_vec<uint32_t>{1, 1, 3, 4}); |
| 65 | AddOutputOperand(model2, hidl_vec<uint32_t>{1, 1, 3, 4}); |
| 66 | |
| 67 | model2.operations.resize(2); |
| 68 | |
| 69 | model2.operations[0].type = OperationType::ADD; |
| 70 | model2.operations[0].inputs = hidl_vec<uint32_t>{0,1}; |
| 71 | model2.operations[0].outputs = hidl_vec<uint32_t>{2}; |
| 72 | |
| 73 | model2.operations[1].type = OperationType::MUL; |
| 74 | model2.operations[1].inputs = hidl_vec<uint32_t>{0,1}; |
| 75 | model2.operations[1].outputs = hidl_vec<uint32_t>{3}; |
| 76 | |
| 77 | driver->getSupportedOperations(model2, cb); |
| 78 | BOOST_TEST((int)error == (int)ErrorStatus::NONE); |
| 79 | BOOST_TEST(sup[0] == false); |
| 80 | BOOST_TEST(sup[1] == false); |
| 81 | |
| 82 | Model model3 = {}; |
| 83 | |
| 84 | // Add unsupported operation, should return no error but we don't support it |
| 85 | AddInputOperand(model3, hidl_vec<uint32_t>{1, 1, 1, 8}); |
| 86 | AddIntOperand(model3, 2); |
| 87 | AddOutputOperand(model3, hidl_vec<uint32_t>{1, 2, 2, 2}); |
| 88 | model3.operations.resize(1); |
| 89 | model3.operations[0].type = OperationType::DEPTH_TO_SPACE; |
| 90 | model1.operations[0].inputs = hidl_vec<uint32_t>{0, 1}; |
| 91 | model3.operations[0].outputs = hidl_vec<uint32_t>{2}; |
| 92 | |
| 93 | driver->getSupportedOperations(model3, cb); |
| 94 | BOOST_TEST((int)error == (int)ErrorStatus::NONE); |
| 95 | BOOST_TEST(sup[0] == false); |
| 96 | |
| 97 | // Add invalid operation |
| 98 | Model model4 = {}; |
| 99 | AddIntOperand(model4, 0); |
| 100 | model4.operations.resize(1); |
| 101 | model4.operations[0].type = static_cast<OperationType>(100); |
| 102 | model4.operations[0].outputs = hidl_vec<uint32_t>{0}; |
| 103 | |
| 104 | driver->getSupportedOperations(model4, cb); |
| 105 | BOOST_TEST((int)error == (int)ErrorStatus::INVALID_ARGUMENT); |
| 106 | } |
| 107 | |
| 108 | // The purpose of this test is to ensure that when encountering an unsupported operation |
| 109 | // it is skipped and getSupportedOperations() continues (rather than failing and stopping). |
| 110 | // As per IVGCVSW-710. |
| 111 | BOOST_AUTO_TEST_CASE(UnsupportedLayerContinueOnFailure) |
| 112 | { |
| 113 | auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef)); |
| 114 | |
| 115 | ErrorStatus error; |
| 116 | std::vector<bool> sup; |
| 117 | |
| 118 | ArmnnDriver::getSupportedOperations_cb cb = [&](ErrorStatus status, const std::vector<bool>& supported) |
| 119 | { |
| 120 | error = status; |
| 121 | sup = supported; |
| 122 | }; |
| 123 | |
| 124 | Model model = {}; |
| 125 | |
| 126 | // operands |
| 127 | int32_t actValue = 0; |
| 128 | float weightValue[] = {2, 4, 1}; |
| 129 | float biasValue[] = {4}; |
| 130 | |
| 131 | // broadcast add is unsupported at the time of writing this test, but any unsupported layer will do |
| 132 | AddInputOperand(model, hidl_vec<uint32_t>{1, 1, 3, 4}); |
| 133 | AddInputOperand(model, hidl_vec<uint32_t>{4}); |
| 134 | AddOutputOperand(model, hidl_vec<uint32_t>{1, 1, 3, 4}); |
| 135 | |
| 136 | // fully connected |
| 137 | AddInputOperand(model, hidl_vec<uint32_t>{1, 3}); |
| 138 | AddTensorOperand(model, hidl_vec<uint32_t>{1, 3}, weightValue); |
| 139 | AddTensorOperand(model, hidl_vec<uint32_t>{1}, biasValue); |
| 140 | AddIntOperand(model, actValue); |
| 141 | AddOutputOperand(model, hidl_vec<uint32_t>{1, 1}); |
| 142 | |
| 143 | // broadcast mul is unsupported |
| 144 | AddOutputOperand(model, hidl_vec<uint32_t>{1, 1, 3, 4}); |
| 145 | |
| 146 | model.operations.resize(3); |
| 147 | |
| 148 | // unsupported |
| 149 | model.operations[0].type = OperationType::ADD; |
| 150 | model.operations[0].inputs = hidl_vec<uint32_t>{0,1}; |
| 151 | model.operations[0].outputs = hidl_vec<uint32_t>{2}; |
| 152 | |
| 153 | // supported |
| 154 | model.operations[1].type = OperationType::FULLY_CONNECTED; |
| 155 | model.operations[1].inputs = hidl_vec<uint32_t>{3, 4, 5, 6}; |
| 156 | model.operations[1].outputs = hidl_vec<uint32_t>{7}; |
| 157 | |
| 158 | // unsupported |
| 159 | model.operations[2].type = OperationType::MUL; |
| 160 | model.operations[2].inputs = hidl_vec<uint32_t>{0,1}; |
| 161 | model.operations[2].outputs = hidl_vec<uint32_t>{8}; |
| 162 | |
| 163 | // we are testing that the unsupported layers return false and the test continues |
| 164 | // rather than failing and stopping. |
| 165 | driver->getSupportedOperations(model, cb); |
| 166 | BOOST_TEST((int)error == (int)ErrorStatus::NONE); |
| 167 | BOOST_TEST(sup[0] == false); |
| 168 | BOOST_TEST(sup[1] == true); |
| 169 | BOOST_TEST(sup[2] == false); |
| 170 | } |
| 171 | |
| 172 | // The purpose of this test is to ensure that when encountering an failure |
| 173 | // during mem pool mapping we properly report an error to the framework via a callback |
| 174 | BOOST_AUTO_TEST_CASE(ModelToINetworkConverterMemPoolFail) |
| 175 | { |
| 176 | auto driver = std::make_unique<ArmnnDriver>(armnn::Compute::CpuRef); |
| 177 | |
| 178 | ErrorStatus error; |
| 179 | std::vector<bool> sup; |
| 180 | |
| 181 | ArmnnDriver::getSupportedOperations_cb cb = [&](ErrorStatus status, const std::vector<bool>& supported) |
| 182 | { |
| 183 | error = status; |
| 184 | sup = supported; |
| 185 | }; |
| 186 | |
| 187 | Model model = {}; |
| 188 | |
| 189 | model.pools = hidl_vec<hidl_memory>{hidl_memory("Unsuported hidl memory type", nullptr, 0)}; |
| 190 | |
| 191 | //memory pool mapping should fail, we should report an error |
| 192 | driver->getSupportedOperations(model, cb); |
| 193 | BOOST_TEST((int)error == (int)ErrorStatus::GENERAL_FAILURE); |
| 194 | } |
| 195 | |
| 196 | BOOST_AUTO_TEST_SUITE_END() |