createSession() failed with segmentation fault

[haiy4774]

使用c++ API推理mnn模型时，发生segmentation fault的问题，进一步调试发现在createSession()时，进到函数DeferBufferAllocator::compute()函数时触发MNN_ASSERT(mFreeList.size()== 1)错误，此时mFreeList.size()=4，请问这个报错是什么原因造成的呢？

[v0jiuqi]

你代码中释放buffer多次了，检查你的代码

[haiy4774]

我的代码就下面这几行，在createSession()这一步就报错了，这里也没有释放buffer的动作，请问该怎么改呢？
#include <MNN/Interpreter.hpp>
#include
#include
int main() {
char mnn_path = "cpu0.mnn”；
auto interpreter = std::shared_ptrMNN::Interpreter(MNN::Interpreter::createFromFile(mnn_path));
MNN::BackendConfig backend_config;
backend_config.power = MNN::BackendConfig::Power_High;
MNN::BackendConfig::Memory_Normal;
backend_config.memory；
backend_config.precision = MNN::BackendConfig::Precision_Normal;
MNN::ScheduleConfig config；
config.type = MNN_FORWARD_CPU;
config.numThread = 2;
config.backendConfig = &backend_config;
auto session = interpreter->createSession(config);
auto allinput = interpreter->getSessionInputAll(session);
for (auto& iter : allinput) {
auto inputTensor = iter.second;
void* host = inputTensor->map (MNN::Tensor::MAP_TENSOR_WRITE, inpputTensor->getDimensionType());
if(host != nullptr) {
// TODO:Find better way to memset zero
size_t totalBytes = inputTensor->elementSize() * inputTernsor->getType().bytes()；
memset(host,0,totalBytes);
float* data = static_cast<float*> (host);
for (int32_t i = 0; 1elementSize(); i++) {
data[i] = 1.0;
}
}
inputTensor->unmap(MNN:: Tensor::MAP_TENSOR WRITE, inputTensor->getDimensionType(), host);
}
// infer
interpreter->runSession(session);
auto outputTensor = interpreter->getSessionOutput(session, NULL) ；
//
printTensor(outputTensor);
outputTensor->print();
return 0;
}