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96 lines
3.3 KiB
96 lines
3.3 KiB
/*
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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 "SampleDriverMinimal"
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#include <HalInterfaces.h>
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#include <Utils.h>
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#include <android-base/logging.h>
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#include <thread>
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#include <vector>
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#include "NeuralNetworksOEM.h"
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#include "SampleDriverPartial.h"
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namespace android {
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namespace nn {
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namespace sample_driver {
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class SampleDriverMinimal : public SampleDriverPartial {
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public:
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SampleDriverMinimal() : SampleDriverPartial("nnapi-sample_minimal") {}
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hardware::Return<void> getCapabilities_1_3(getCapabilities_1_3_cb cb) override;
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private:
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std::vector<bool> getSupportedOperationsImpl(const V1_3::Model& model) const override;
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};
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hardware::Return<void> SampleDriverMinimal::getCapabilities_1_3(getCapabilities_1_3_cb cb) {
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android::nn::initVLogMask();
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VLOG(DRIVER) << "getCapabilities()";
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V1_3::Capabilities capabilities = {
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.relaxedFloat32toFloat16PerformanceScalar = {.execTime = 0.4f, .powerUsage = 0.5f},
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.relaxedFloat32toFloat16PerformanceTensor = {.execTime = 0.4f, .powerUsage = 0.5f},
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.operandPerformance = nonExtensionOperandPerformance<HalVersion::V1_3>({1.0f, 1.0f}),
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.ifPerformance = {.execTime = 1.0f, .powerUsage = 1.0f},
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.whilePerformance = {.execTime = 1.0f, .powerUsage = 1.0f}};
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update(&capabilities.operandPerformance, V1_3::OperandType::TENSOR_FLOAT32,
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{.execTime = 0.4f, .powerUsage = 0.5f});
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update(&capabilities.operandPerformance, V1_3::OperandType::FLOAT32,
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{.execTime = 0.4f, .powerUsage = 0.5f});
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cb(V1_3::ErrorStatus::NONE, capabilities);
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return hardware::Void();
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}
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std::vector<bool> SampleDriverMinimal::getSupportedOperationsImpl(const V1_3::Model& model) const {
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const size_t count = model.main.operations.size();
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std::vector<bool> supported(count);
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// Simulate supporting just a few ops
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for (size_t i = 0; i < count; i++) {
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supported[i] = false;
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const V1_3::Operation& operation = model.main.operations[i];
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switch (operation.type) {
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case V1_3::OperationType::ADD:
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case V1_3::OperationType::CONCATENATION:
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case V1_3::OperationType::CONV_2D: {
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const V1_3::Operand& firstOperand = model.main.operands[operation.inputs[0]];
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if (firstOperand.type == V1_3::OperandType::TENSOR_FLOAT32) {
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supported[i] = true;
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}
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break;
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}
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default:
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break;
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}
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}
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return supported;
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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::sp;
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using android::nn::sample_driver::SampleDriverMinimal;
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int main() {
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sp<SampleDriverMinimal> driver(new SampleDriverMinimal());
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return driver->run();
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}
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