Function basic_load_from_path

lite/example/cpp_example/mge/basic.cpp:70–130

namespace {
bool basic_load_from_path(const Args& args) {
    set_log_level(LiteLogLevel::DEBUG);
    std::string network_path = args.model_path;
    std::string input_path = args.input_path;

    //! create and load the network
    std::shared_ptr<Network> network = std::make_shared<Network>();
    network->load_model(network_path);
    //! set input data to input tensor
    std::shared_ptr<Tensor> input_tensor = network->get_input_tensor(0);

    auto layout = input_tensor->get_layout();
    for (size_t i = 0; i < layout.ndim; i++) {
        printf("model input shape[%zu]=%zu \n", i, layout.shapes[i]);
    }

    //! copy or forward data to network
    size_t length = input_tensor->get_tensor_total_size_in_byte();
    void* dst_ptr = input_tensor->get_memory_ptr();
    auto src_tensor = parse_npy(input_path);
    auto layout0 = src_tensor->get_layout();
    for (size_t i = 0; i < layout0.ndim; i++) {
        printf("src shape[%zu]=%zu \n", i, layout0.shapes[i]);
    }
    void* src = src_tensor->get_memory_ptr();
    memcpy(dst_ptr, src, length);

    //! forward
    {
        lite_example_helper::Timer ltimer("warmup");
        network->forward();
        network->wait();
        ltimer.print_used_time(0);
    }
    lite_example_helper::Timer ltimer("forward_iter");
    for (int i = 0; i < 10; i++) {
        network->forward();
        network->wait();
        ltimer.print_used_time(i);
    }

    //! forward
    {
        lite_example_helper::Timer ltimer("warmup");
        network->forward();
        network->wait();
        ltimer.print_used_time(0);
    }
    for (int i = 0; i < 10; i++) {
        ltimer.reset_start();
        network->forward();
        network->wait();
        ltimer.print_used_time(i);
    }

    //! get the output data or read tensor set in network_in
    size_t output_size = network->get_all_output_name().size();
    output_info(network, output_size);