/* * Copyright (C) 2017 The Android Open Source Project * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #define LOG_TAG "SampleDriverFloatSlow" #include #include #include #include #include "HalInterfaces.h" #include "SampleDriverPartial.h" #include "Utils.h" #include "ValidateHal.h" namespace android { namespace nn { namespace sample_driver { using namespace hal; class SampleDriverFloatSlow : public SampleDriverPartial { public: SampleDriverFloatSlow() : SampleDriverPartial("nnapi-sample_float_slow") {} Return getCapabilities_1_3(getCapabilities_1_3_cb cb) override; private: std::vector getSupportedOperationsImpl(const V1_3::Model& model) const override; }; Return SampleDriverFloatSlow::getCapabilities_1_3(getCapabilities_1_3_cb cb) { android::nn::initVLogMask(); VLOG(DRIVER) << "getCapabilities()"; Capabilities capabilities = { .relaxedFloat32toFloat16PerformanceScalar = {.execTime = 1.2f, .powerUsage = 0.6f}, .relaxedFloat32toFloat16PerformanceTensor = {.execTime = 1.2f, .powerUsage = 0.6f}, .operandPerformance = nonExtensionOperandPerformance({1.0f, 1.0f}), .ifPerformance = {.execTime = 1.0f, .powerUsage = 1.0f}, .whilePerformance = {.execTime = 1.0f, .powerUsage = 1.0f}}; update(&capabilities.operandPerformance, OperandType::TENSOR_FLOAT32, {.execTime = 1.3f, .powerUsage = 0.7f}); update(&capabilities.operandPerformance, OperandType::FLOAT32, {.execTime = 1.3f, .powerUsage = 0.7f}); cb(ErrorStatus::NONE, capabilities); return Void(); } std::vector SampleDriverFloatSlow::getSupportedOperationsImpl( const V1_3::Model& model) const { const size_t count = model.main.operations.size(); std::vector supported(count); for (size_t i = 0; i < count; i++) { const Operation& operation = model.main.operations[i]; if (operation.inputs.size() > 0) { const Operand& firstOperand = model.main.operands[operation.inputs[0]]; supported[i] = firstOperand.type == OperandType::TENSOR_FLOAT32; } } return supported; } } // namespace sample_driver } // namespace nn } // namespace android using android::sp; using android::nn::sample_driver::SampleDriverFloatSlow; int main() { sp driver(new SampleDriverFloatSlow()); return driver->run(); }