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Add more missing vectorized casts for int on x86, and remove redundant unit tests
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@@ -15,113 +15,23 @@
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using Eigen::Tensor;
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using Eigen::array;
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static void test_simple_cast()
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{
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Tensor<float, 2> ftensor(20,30);
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ftensor = ftensor.random() * 100.f;
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Tensor<char, 2> chartensor(20,30);
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chartensor.setRandom();
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Tensor<std::complex<float>, 2> cplextensor(20,30);
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cplextensor.setRandom();
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chartensor = ftensor.cast<char>();
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cplextensor = ftensor.cast<std::complex<float> >();
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for (int i = 0; i < 20; ++i) {
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for (int j = 0; j < 30; ++j) {
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VERIFY_IS_EQUAL(chartensor(i,j), static_cast<char>(ftensor(i,j)));
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VERIFY_IS_EQUAL(cplextensor(i,j), static_cast<std::complex<float> >(ftensor(i,j)));
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}
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}
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}
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static void test_vectorized_cast()
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{
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Tensor<int, 2> itensor(20,30);
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itensor = itensor.random() / 1000;
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Tensor<float, 2> ftensor(20,30);
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ftensor.setRandom();
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Tensor<double, 2> dtensor(20,30);
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dtensor.setRandom();
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ftensor = itensor.cast<float>();
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dtensor = itensor.cast<double>();
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for (int i = 0; i < 20; ++i) {
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for (int j = 0; j < 30; ++j) {
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VERIFY_IS_EQUAL(itensor(i,j), static_cast<int>(ftensor(i,j)));
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VERIFY_IS_EQUAL(dtensor(i,j), static_cast<double>(ftensor(i,j)));
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}
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}
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}
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static void test_float_to_int_cast()
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{
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Tensor<float, 2> ftensor(20,30);
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ftensor = ftensor.random() * 1000.0f;
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Tensor<double, 2> dtensor(20,30);
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dtensor = dtensor.random() * 1000.0;
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Tensor<int, 2> i1tensor = ftensor.cast<int>();
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Tensor<int, 2> i2tensor = dtensor.cast<int>();
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for (int i = 0; i < 20; ++i) {
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for (int j = 0; j < 30; ++j) {
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VERIFY_IS_EQUAL(i1tensor(i,j), static_cast<int>(ftensor(i,j)));
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VERIFY_IS_EQUAL(i2tensor(i,j), static_cast<int>(dtensor(i,j)));
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}
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}
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}
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static void test_big_to_small_type_cast()
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{
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Tensor<double, 2> dtensor(20, 30);
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dtensor.setRandom();
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Tensor<float, 2> ftensor(20, 30);
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ftensor = dtensor.cast<float>();
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for (int i = 0; i < 20; ++i) {
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for (int j = 0; j < 30; ++j) {
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VERIFY_IS_APPROX(dtensor(i,j), static_cast<double>(ftensor(i,j)));
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}
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}
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}
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static void test_small_to_big_type_cast()
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{
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Tensor<float, 2> ftensor(20, 30);
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ftensor.setRandom();
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Tensor<double, 2> dtensor(20, 30);
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dtensor = ftensor.cast<double>();
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for (int i = 0; i < 20; ++i) {
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for (int j = 0; j < 30; ++j) {
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VERIFY_IS_APPROX(dtensor(i,j), static_cast<double>(ftensor(i,j)));
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}
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}
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}
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template <typename FromType, typename ToType>
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static void test_type_cast() {
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Tensor<FromType, 2> ftensor(100, 200);
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Tensor<FromType, 2> ftensor(101, 201);
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// Generate random values for a valid cast.
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for (int i = 0; i < 100; ++i) {
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for (int j = 0; j < 200; ++j) {
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for (int i = 0; i < 101; ++i) {
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for (int j = 0; j < 201; ++j) {
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ftensor(i, j) = internal::random_without_cast_overflow<FromType,ToType>::value();
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}
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}
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Tensor<ToType, 2> ttensor(100, 200);
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Tensor<ToType, 2> ttensor(101, 201);
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ttensor = ftensor.template cast<ToType>();
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for (int i = 0; i < 100; ++i) {
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for (int j = 0; j < 200; ++j) {
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const ToType ref = internal::cast<FromType,ToType>(ftensor(i, j));
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VERIFY_IS_APPROX(ttensor(i, j), ref);
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for (int i = 0; i < 101; ++i) {
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for (int j = 0; j < 201; ++j) {
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const ToType ref = static_cast<ToType>(ftensor(i, j));
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VERIFY_IS_EQUAL(ttensor(i, j), ref);
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}
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}
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}
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@@ -161,12 +71,6 @@ struct test_cast_runner<Scalar, std::enable_if_t<NumTraits<Scalar>::IsComplex>>
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EIGEN_DECLARE_TEST(cxx11_tensor_casts)
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{
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CALL_SUBTEST(test_simple_cast());
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CALL_SUBTEST(test_vectorized_cast());
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CALL_SUBTEST(test_float_to_int_cast());
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CALL_SUBTEST(test_big_to_small_type_cast());
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CALL_SUBTEST(test_small_to_big_type_cast());
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CALL_SUBTEST(test_cast_runner<bool>::run());
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CALL_SUBTEST(test_cast_runner<int8_t>::run());
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CALL_SUBTEST(test_cast_runner<int16_t>::run());
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