/*
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* Copyright (C) 2017 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#define LOG_TAG "SampleDriverFloatFast"
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#include "SampleDriver.h"
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#include "HalInterfaces.h"
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#include "Utils.h"
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#include "ValidateHal.h"
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#include <android-base/logging.h>
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#include <hidl/LegacySupport.h>
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#include <thread>
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namespace android {
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namespace nn {
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namespace sample_driver {
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class SampleDriverFloatFast : public SampleDriver {
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public:
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SampleDriverFloatFast() : SampleDriver("sample-float-fast") {}
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Return<void> getCapabilities_1_2(getCapabilities_1_2_cb cb) override;
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Return<void> getSupportedOperations_1_2(const V1_2::Model& model,
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getSupportedOperations_1_2_cb cb) override;
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};
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Return<void> SampleDriverFloatFast::getCapabilities_1_2(getCapabilities_1_2_cb cb) {
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android::nn::initVLogMask();
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VLOG(DRIVER) << "getCapabilities()";
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Capabilities capabilities = {
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.relaxedFloat32toFloat16PerformanceScalar = {.execTime = 0.7f, .powerUsage = 1.1f},
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.relaxedFloat32toFloat16PerformanceTensor = {.execTime = 0.7f, .powerUsage = 1.1f},
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.operandPerformance = nonExtensionOperandPerformance({1.0f, 1.0f})};
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update(&capabilities.operandPerformance, OperandType::TENSOR_FLOAT32,
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{.execTime = 0.8f, .powerUsage = 1.2f});
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update(&capabilities.operandPerformance, OperandType::FLOAT32,
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{.execTime = 0.8f, .powerUsage = 1.2f});
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cb(ErrorStatus::NONE, capabilities);
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return Void();
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}
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Return<void> SampleDriverFloatFast::getSupportedOperations_1_2(const V1_2::Model& model,
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getSupportedOperations_1_2_cb cb) {
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VLOG(DRIVER) << "getSupportedOperations()";
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if (validateModel(model)) {
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const size_t count = model.operations.size();
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std::vector<bool> supported(count);
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for (size_t i = 0; i < count; i++) {
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const Operation& operation = model.operations[i];
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if (operation.inputs.size() > 0) {
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const Operand& firstOperand = model.operands[operation.inputs[0]];
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supported[i] = firstOperand.type == OperandType::TENSOR_FLOAT32;
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}
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}
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cb(ErrorStatus::NONE, supported);
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} else {
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std::vector<bool> supported;
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cb(ErrorStatus::INVALID_ARGUMENT, supported);
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}
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return Void();
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}
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} // namespace sample_driver
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} // namespace nn
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} // namespace android
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using android::nn::sample_driver::SampleDriverFloatFast;
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using android::sp;
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int main() {
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sp<SampleDriverFloatFast> driver(new SampleDriverFloatFast());
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return driver->run();
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}
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