1 /* 2 * Copyright (C) 2018 The Android Open Source Project 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 17 #define LOG_TAG "neuralnetworks_hidl_hal_test" 18 19 #include "VtsHalNeuralnetworks.h" 20 21 #include "Callbacks.h" 22 #include "TestHarness.h" 23 #include "Utils.h" 24 25 #include <android-base/logging.h> 26 #include <android/hidl/memory/1.0/IMemory.h> 27 #include <hidlmemory/mapping.h> 28 29 namespace android { 30 namespace hardware { 31 namespace neuralnetworks { 32 namespace V1_0 { 33 namespace vts { 34 namespace functional { 35 36 using ::android::hardware::neuralnetworks::V1_2::implementation::ExecutionCallback; 37 using ::android::hidl::memory::V1_0::IMemory; 38 using test_helper::for_all; 39 using test_helper::MixedTyped; 40 using test_helper::MixedTypedExample; 41 42 ///////////////////////// UTILITY FUNCTIONS ///////////////////////// 43 44 // Primary validation function. This function will take a valid request, apply a 45 // mutation to it to invalidate the request, then pass it to interface calls 46 // that use the request. Note that the request here is passed by value, and any 47 // mutation to the request does not leave this function. 48 static void validate(const sp<IPreparedModel>& preparedModel, const std::string& message, 49 Request request, const std::function<void(Request*)>& mutation) { 50 mutation(&request); 51 SCOPED_TRACE(message + " [execute]"); 52 53 sp<ExecutionCallback> executionCallback = new ExecutionCallback(); 54 ASSERT_NE(nullptr, executionCallback.get()); 55 Return<ErrorStatus> executeLaunchStatus = preparedModel->execute(request, executionCallback); 56 ASSERT_TRUE(executeLaunchStatus.isOk()); 57 ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(executeLaunchStatus)); 58 59 executionCallback->wait(); 60 ErrorStatus executionReturnStatus = executionCallback->getStatus(); 61 ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, executionReturnStatus); 62 } 63 64 // Delete element from hidl_vec. hidl_vec doesn't support a "remove" operation, 65 // so this is efficiently accomplished by moving the element to the end and 66 // resizing the hidl_vec to one less. 67 template <typename Type> 68 static void hidl_vec_removeAt(hidl_vec<Type>* vec, uint32_t index) { 69 if (vec) { 70 std::rotate(vec->begin() + index, vec->begin() + index + 1, vec->end()); 71 vec->resize(vec->size() - 1); 72 } 73 } 74 75 template <typename Type> 76 static uint32_t hidl_vec_push_back(hidl_vec<Type>* vec, const Type& value) { 77 // assume vec is valid 78 const uint32_t index = vec->size(); 79 vec->resize(index + 1); 80 (*vec)[index] = value; 81 return index; 82 } 83 84 ///////////////////////// REMOVE INPUT //////////////////////////////////// 85 86 static void removeInputTest(const sp<IPreparedModel>& preparedModel, const Request& request) { 87 for (size_t input = 0; input < request.inputs.size(); ++input) { 88 const std::string message = "removeInput: removed input " + std::to_string(input); 89 validate(preparedModel, message, request, 90 [input](Request* request) { hidl_vec_removeAt(&request->inputs, input); }); 91 } 92 } 93 94 ///////////////////////// REMOVE OUTPUT //////////////////////////////////// 95 96 static void removeOutputTest(const sp<IPreparedModel>& preparedModel, const Request& request) { 97 for (size_t output = 0; output < request.outputs.size(); ++output) { 98 const std::string message = "removeOutput: removed Output " + std::to_string(output); 99 validate(preparedModel, message, request, 100 [output](Request* request) { hidl_vec_removeAt(&request->outputs, output); }); 101 } 102 } 103 104 ///////////////////////////// ENTRY POINT ////////////////////////////////// 105 106 std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples) { 107 const uint32_t INPUT = 0; 108 const uint32_t OUTPUT = 1; 109 110 std::vector<Request> requests; 111 112 for (const MixedTypedExample& example : examples) { 113 const MixedTyped& inputs = example.operands.first; 114 const MixedTyped& outputs = example.operands.second; 115 116 std::vector<RequestArgument> inputs_info, outputs_info; 117 uint32_t inputSize = 0, outputSize = 0; 118 119 // This function only partially specifies the metadata (vector of RequestArguments). 120 // The contents are copied over below. 121 for_all(inputs, [&inputs_info, &inputSize](int index, auto, auto s) { 122 if (inputs_info.size() <= static_cast<size_t>(index)) inputs_info.resize(index + 1); 123 RequestArgument arg = { 124 .location = {.poolIndex = INPUT, .offset = 0, .length = static_cast<uint32_t>(s)}, 125 .dimensions = {}, 126 }; 127 RequestArgument arg_empty = { 128 .hasNoValue = true, 129 }; 130 inputs_info[index] = s ? arg : arg_empty; 131 inputSize += s; 132 }); 133 // Compute offset for inputs 1 and so on 134 { 135 size_t offset = 0; 136 for (auto& i : inputs_info) { 137 if (!i.hasNoValue) i.location.offset = offset; 138 offset += i.location.length; 139 } 140 } 141 142 // Go through all outputs, initialize RequestArgument descriptors 143 for_all(outputs, [&outputs_info, &outputSize](int index, auto, auto s) { 144 if (outputs_info.size() <= static_cast<size_t>(index)) outputs_info.resize(index + 1); 145 RequestArgument arg = { 146 .location = {.poolIndex = OUTPUT, .offset = 0, .length = static_cast<uint32_t>(s)}, 147 .dimensions = {}, 148 }; 149 outputs_info[index] = arg; 150 outputSize += s; 151 }); 152 // Compute offset for outputs 1 and so on 153 { 154 size_t offset = 0; 155 for (auto& i : outputs_info) { 156 i.location.offset = offset; 157 offset += i.location.length; 158 } 159 } 160 std::vector<hidl_memory> pools = {nn::allocateSharedMemory(inputSize), 161 nn::allocateSharedMemory(outputSize)}; 162 if (pools[INPUT].size() == 0 || pools[OUTPUT].size() == 0) { 163 return {}; 164 } 165 166 // map pool 167 sp<IMemory> inputMemory = mapMemory(pools[INPUT]); 168 if (inputMemory == nullptr) { 169 return {}; 170 } 171 char* inputPtr = reinterpret_cast<char*>(static_cast<void*>(inputMemory->getPointer())); 172 if (inputPtr == nullptr) { 173 return {}; 174 } 175 176 // initialize pool 177 inputMemory->update(); 178 for_all(inputs, [&inputs_info, inputPtr](int index, auto p, auto s) { 179 char* begin = (char*)p; 180 char* end = begin + s; 181 // TODO: handle more than one input 182 std::copy(begin, end, inputPtr + inputs_info[index].location.offset); 183 }); 184 inputMemory->commit(); 185 186 requests.push_back({.inputs = inputs_info, .outputs = outputs_info, .pools = pools}); 187 } 188 189 return requests; 190 } 191 192 void ValidationTest::validateRequests(const sp<IPreparedModel>& preparedModel, 193 const std::vector<Request>& requests) { 194 // validate each request 195 for (const Request& request : requests) { 196 removeInputTest(preparedModel, request); 197 removeOutputTest(preparedModel, request); 198 } 199 } 200 201 } // namespace functional 202 } // namespace vts 203 } // namespace V1_0 204 } // namespace neuralnetworks 205 } // namespace hardware 206 } // namespace android 207