Function test_basic_tensor_ops

dlib/test/dnn.cpp:996–1403

// ----------------------------------------------------------------------------------------

    void test_basic_tensor_ops()
    {
        using namespace dlib::tt;
        print_spinner();
        resizable_tensor dest, src(3,4), A(1,4), B(1,4);
        src = 2;
        dest.copy_size(src);
        affine_transform(dest, src, 2, 3);
        dlog << LINFO << mat(dest);
        matrix<float> truth1(3,4), truth2(3,4);

        truth1 = 2;
        DLIB_TEST(max(abs(truth1-mat(src))) < 1e-5);
        src *= 2;
        truth1 = 4;
        DLIB_TEST(max(abs(truth1-mat(src))) < 1e-5);
        src = 2;


        truth1 = 7;
        truth2 = 7, 10,  7,  7,
        7, 10,  7,  7,
        7, 10,  7,  7;
        DLIB_TEST(max(abs(truth1-mat(dest))) < 1e-5);

        A = 2;
        B = 3;
        A.host()[1] = 3;
        B.host()[1] = 4;
        dest = 0;
        affine_transform(dest, src, A, B);
        dlog << LINFO << mat(dest);
        DLIB_TEST(max(abs(truth2-mat(dest))) < 1e-5);

        A = matrix_cast<float>(gaussian_randm(3,4, 1));
        B = matrix_cast<float>(gaussian_randm(3,4, 2));
        affine_transform(dest, src, A, B);
        dlog << LINFO << mat(dest);
        matrix<float> truth3 = pointwise_multiply(mat(src), mat(A)) + mat(B);
        DLIB_TEST(max(abs(truth3-mat(dest))) < 1e-5);

        matrix<float> truth4 = pointwise_multiply(mat(A), mat(B));
        tt::multiply(false, A, A, B);
        DLIB_TEST(max(abs(truth4-mat(A))) < 1e-5);
        truth4 = pointwise_multiply(mat(A), mat(B)) + mat(A);
        tt::multiply(true, A, A, B);
        DLIB_TEST(max(abs(truth4-mat(A))) < 1e-5);

        matrix<float> truth5 = mat(B) > 0.1;
        dlog << LINFO << truth5;
        threshold(B, 0.1);
        DLIB_TEST(max(abs(truth5-mat(B))) < 1e-5);

        int cnt = 0;
        for(auto& x : A)
            x = cnt++;

        truth1.set_size(2,2);