mirror of https://github.com/alibaba/MNN.git
52 lines
1.6 KiB
C++
52 lines
1.6 KiB
C++
//
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// MultiThreadLoad.cpp
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// MNNTests
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//
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// Created by MNN on 2019/09/26.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include <MNN/Interpreter.hpp>
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#include <MNN/expr/ExprCreator.hpp>
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#include <thread>
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#include "MNNTestSuite.h"
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#include "MNN_generated.h"
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using namespace MNN::Express;
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using namespace MNN;
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class MultiThreadLoadTest : public MNNTestCase {
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public:
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virtual bool run(int precision) {
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auto x1 = _Input({4}, NHWC, halide_type_of<float>());
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auto x0 = _Input({4}, NCHW, halide_type_of<float>());
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auto y = _Add(x1, x0);
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y = _Abs(y);
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y = _Sign(y);
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y = _Square(y);
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y = _Cos(y);
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y = _Exp(y);
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std::unique_ptr<MNN::NetT> net(new NetT);
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Variable::save({y}, net.get());
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flatbuffers::FlatBufferBuilder builderOutput(1024);
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auto len = MNN::Net::Pack(builderOutput, net.get());
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builderOutput.Finish(len);
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int sizeOutput = builderOutput.GetSize();
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auto bufferOutput = builderOutput.GetBufferPointer();
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std::vector<std::thread> threads;
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for (int i = 0; i < 100; ++i) {
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threads.emplace_back([&]() {
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std::shared_ptr<Interpreter> interp(Interpreter::createFromBuffer(bufferOutput, sizeOutput));
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ScheduleConfig config;
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auto session = interp->createSession(config);
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interp->runSession(session);
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});
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}
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for (auto& t : threads) {
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t.join();
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}
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return true;
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}
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};
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MNNTestSuiteRegister(MultiThreadLoadTest, "expr/MultiThreadLoad");
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