Method tensorConvert

source/backend/cpu/CPURaster.cpp:373–396

    }
}
void CPURaster::tensorConvert(Tensor* input, Tensor* output, int bytes) {
    std::pair<std::function<void(int)>, int> task;
    auto core = static_cast<CPUBackend*>(backend())->functions();
    auto threadNumber = static_cast<CPUBackend*>(backend())->threadNumber();
    if (!mUseThreads) {
        threadNumber = 1;
    }
    task.first = [input, output, bytes, threadNumber, core](int tId) {
        auto& subIb     = input->buffer();
        auto& subOb     = output->buffer();
        auto source = TensorUtils::getDescribe(input)->dimensionFormat;
        auto dest   = TensorUtils::getDescribe(output)->dimensionFormat;
        if (subIb.dimensions <= 1 || source == dest) {
            ::memcpy(subOb.host, subIb.host, input->elementSize() * bytes);
            return;
        }
        auto tup = CPUTensorConverter::splitDimensions(subIb, source);
        int area = std::get<1>(tup), batch = std::get<0>(tup), channel = std::get<2>(tup);
        const int bitLength = bytes;
        CPUTensorConverter::convert(subIb.host, subOb.host, source, dest, batch, area, channel, bitLength, core, tId, threadNumber);
    };
    task.second = threadNumber;
    mTasks.emplace_back(task);
}
ErrorCode CPURaster::onResize(const std::vector<Tensor *> &____inputs, const std::vector<Tensor *> &outputs) {
    MNN_ASSERT(outputs.size() == 1);
    auto output = outputs[0];