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https://gitlab.com/libeigen/eigen.git
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Fix tensor casts for large packets and casts to/from std::complex
The original tensor casts were only defined for `SrcCoeffRatio`:`TgtCoeffRatio` 1:1, 1:2, 2:1, 4:1. Here we add the missing 1:N and 8:1. We also add casting `Eigen::half` to/from `std::complex<T>`, which was missing to make it consistent with `Eigen:bfloat16`, and generalize the overload to work for any complex type. Tests were added to `basicstuff`, `packetmath`, and `cxx11_tensor_casts` to test all cast configurations.
This commit is contained in:
committed by
Antonio Sánchez
parent
145e51516f
commit
9cb8771e9c
@@ -8,6 +8,7 @@
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include "main.h"
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#include "random_without_cast_overflow.h"
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#include <Eigen/CXX11/Tensor>
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@@ -104,12 +105,82 @@ static void test_small_to_big_type_cast()
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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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// 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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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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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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}
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}
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}
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template<typename Scalar, typename EnableIf = void>
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struct test_cast_runner {
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static void run() {
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test_type_cast<Scalar, bool>();
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test_type_cast<Scalar, int8_t>();
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test_type_cast<Scalar, int16_t>();
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test_type_cast<Scalar, int32_t>();
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test_type_cast<Scalar, int64_t>();
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test_type_cast<Scalar, uint8_t>();
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test_type_cast<Scalar, uint16_t>();
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test_type_cast<Scalar, uint32_t>();
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test_type_cast<Scalar, uint64_t>();
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test_type_cast<Scalar, half>();
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test_type_cast<Scalar, bfloat16>();
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test_type_cast<Scalar, float>();
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test_type_cast<Scalar, double>();
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test_type_cast<Scalar, std::complex<float>>();
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test_type_cast<Scalar, std::complex<double>>();
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}
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};
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// Only certain types allow cast from std::complex<>.
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template<typename Scalar>
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struct test_cast_runner<Scalar, typename internal::enable_if<NumTraits<Scalar>::IsComplex>::type> {
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static void run() {
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test_type_cast<Scalar, half>();
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test_type_cast<Scalar, bfloat16>();
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test_type_cast<Scalar, std::complex<float>>();
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test_type_cast<Scalar, std::complex<double>>();
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}
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};
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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_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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CALL_SUBTEST(test_cast_runner<int32_t>::run());
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CALL_SUBTEST(test_cast_runner<int64_t>::run());
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CALL_SUBTEST(test_cast_runner<uint8_t>::run());
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CALL_SUBTEST(test_cast_runner<uint16_t>::run());
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CALL_SUBTEST(test_cast_runner<uint32_t>::run());
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CALL_SUBTEST(test_cast_runner<uint64_t>::run());
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CALL_SUBTEST(test_cast_runner<half>::run());
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CALL_SUBTEST(test_cast_runner<bfloat16>::run());
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CALL_SUBTEST(test_cast_runner<float>::run());
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CALL_SUBTEST(test_cast_runner<double>::run());
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CALL_SUBTEST(test_cast_runner<std::complex<float>>::run());
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CALL_SUBTEST(test_cast_runner<std::complex<double>>::run());
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}
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