1/* 2 * Copyright (C) 2017 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 "SampleDriverMinimal" 18 19#include "SampleDriver.h" 20 21#include "HalInterfaces.h" 22#include "NeuralNetworksOEM.h" 23#include "Utils.h" 24#include "ValidateHal.h" 25 26#include <android-base/logging.h> 27#include <hidl/LegacySupport.h> 28#include <thread> 29 30namespace android { 31namespace nn { 32namespace sample_driver { 33 34class SampleDriverMinimal : public SampleDriver { 35public: 36 SampleDriverMinimal() : SampleDriver("sample-minimal") {} 37 Return<void> getCapabilities_1_1(getCapabilities_1_1_cb cb) override; 38 Return<void> getSupportedOperations_1_1(const V1_1::Model& model, 39 getSupportedOperations_1_1_cb cb) override; 40}; 41 42Return<void> SampleDriverMinimal::getCapabilities_1_1(getCapabilities_1_1_cb cb) { 43 android::nn::initVLogMask(); 44 VLOG(DRIVER) << "getCapabilities()"; 45 Capabilities capabilities = {.float32Performance = {.execTime = 0.4f, .powerUsage = 0.5f}, 46 .quantized8Performance = {.execTime = 1.0f, .powerUsage = 1.0f}, 47 .relaxedFloat32toFloat16Performance = 48 {.execTime = 0.4f, .powerUsage = 0.5f}}; 49 cb(ErrorStatus::NONE, capabilities); 50 return Void(); 51} 52 53Return<void> SampleDriverMinimal::getSupportedOperations_1_1(const V1_1::Model& model, 54 getSupportedOperations_1_1_cb cb) { 55 VLOG(DRIVER) << "getSupportedOperations()"; 56 if (validateModel(model)) { 57 const size_t count = model.operations.size(); 58 std::vector<bool> supported(count); 59 // Simulate supporting just a few ops 60 for (size_t i = 0; i < count; i++) { 61 supported[i] = false; 62 const Operation& operation = model.operations[i]; 63 switch (operation.type) { 64 case OperationType::ADD: 65 case OperationType::CONCATENATION: 66 case OperationType::CONV_2D: { 67 const Operand& firstOperand = model.operands[operation.inputs[0]]; 68 if (firstOperand.type == OperandType::TENSOR_FLOAT32) { 69 supported[i] = true; 70 } 71 break; 72 } 73 default: 74 break; 75 } 76 } 77 cb(ErrorStatus::NONE, supported); 78 } else { 79 std::vector<bool> supported; 80 cb(ErrorStatus::INVALID_ARGUMENT, supported); 81 } 82 return Void(); 83} 84 85} // namespace sample_driver 86} // namespace nn 87} // namespace android 88 89using android::nn::sample_driver::SampleDriverMinimal; 90using android::sp; 91 92int main() { 93 sp<SampleDriverMinimal> driver(new SampleDriverMinimal()); 94 return driver->run(); 95} 96