Function test_sigmoid

dlib/test/dnn.cpp:82–116

    }

    void test_sigmoid()
    {
        using namespace dlib::tt;
        print_spinner();
        resizable_tensor src, dest, gradient_input;
        src = matrix_cast<float>(gaussian_randm(5,5, 0));
        dest = matrix_cast<float>(gaussian_randm(5,5, 1));
        gradient_input = matrix_cast<float>(gaussian_randm(5,5, 2));



        auto grad_src = [&](long idx) {
            auto f = [&](float eps) {
                const float old = src.host()[idx];
                src.host()[idx] += eps;
                sigmoid(dest, src);
                float result = dot(gradient_input, dest);
                src.host()[idx] = old;
                return result;
            };
            const float eps = 0.01;
            return (f(+eps)-f(-eps))/(2*eps);
        };

        resizable_tensor src_grad;
        src_grad.copy_size(src);
        src_grad = 0;

        sigmoid(dest, src);
        sigmoid_gradient(src_grad, dest, gradient_input);

        auto grad_error = compare_gradients(src_grad, grad_src);
        dlog << LINFO << "src error: " << grad_error;
        DLIB_TEST(grad_error < 0.001);
    }

    void test_softmax()
    {