The examples should be intendeed for begineers, not for testing internals.

[salvacarrion]

The examples are filled with boilerplate code and conditionals that are hard to read (especially for beginners). We cannot forget that the examples are intended for beginners, so they should be short and simple. If we want to test things automatically, we have test_internals. The same goes for onnx/nn

Example from 1_mnist_mlp:

 bool testing = false;
    bool use_cpu = false;
    for (int i = 1; i < argc; ++i) {
        if (strcmp(argv[i], "--testing") == 0) testing = true;
        else if (strcmp(argv[i], "--cpu") == 0) use_cpu = true;
    }


// blablabla


if (use_cpu) {
        cs = CS_CPU();
    } else {
        cs = CS_GPU({1},"low_mem"); // one GPU
        // cs = CS_GPU({1,1},100); // two GPU with weight sync every 100 batches
        // cs = CS_CPU();
        // cs = CS_FPGA({1});
    }


// blablabla

if (testing) {
        std::string _range_ = "0:" + std::to_string(2 * batch_size);
        Tensor* x_mini_train = x_train->select({_range_, ":"});
        Tensor* y_mini_train = y_train->select({_range_, ":"});
        Tensor* x_mini_test  = x_test->select({_range_, ":"});
        Tensor* y_mini_test  = y_test->select({_range_, ":"});

        delete x_train;
        delete y_train;
        delete x_test;
        delete y_test;

        x_train = x_mini_train;
        y_train = y_mini_train;
        x_test  = x_mini_test;
        y_test  = y_mini_test;
    }