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Fix (u)int64_t->float conversion on arm
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@ -1111,11 +1111,11 @@ struct type_casting_traits<numext::int64_t, float> {
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};
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template <>
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EIGEN_STRONG_INLINE Packet4f pcast<Packet2l, Packet4f>(const Packet2l& a, const Packet2l& b) {
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return vcvtq_f32_s32(vcombine_s32(vmovn_s64(a), vmovn_s64(b)));
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return vcombine_f32(vcvt_f32_f64(vcvtq_f64_s64(a)), vcvt_f32_f64(vcvtq_f64_s64(b)));
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}
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template <>
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EIGEN_STRONG_INLINE Packet2f pcast<Packet2l, Packet2f>(const Packet2l& a) {
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return vcvt_f32_s32(vmovn_s64(a));
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return vcvt_f32_f64(vcvtq_f64_s64(a));
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}
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@ -1233,11 +1233,11 @@ struct type_casting_traits<numext::uint64_t, float> {
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};
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template <>
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EIGEN_STRONG_INLINE Packet4f pcast<Packet2ul, Packet4f>(const Packet2ul& a, const Packet2ul& b) {
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return vcvtq_f32_u32(vcombine_u32(vmovn_u64(a), vmovn_u64(b)));
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return vcombine_f32(vcvt_f32_f64(vcvtq_f64_u64(a)), vcvt_f32_f64(vcvtq_f64_u64(b)));
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}
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template <>
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EIGEN_STRONG_INLINE Packet2f pcast<Packet2ul, Packet2f>(const Packet2ul& a) {
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return vcvt_f32_u32(vmovn_u64(a));
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return vcvt_f32_f64(vcvtq_f64_u64(a));
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}
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@ -182,6 +182,7 @@ ei_add_test(first_aligned)
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ei_add_test(type_alias)
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ei_add_test(nullary)
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ei_add_test(mixingtypes)
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ei_add_test(float_conversion)
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ei_add_test(io)
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ei_add_test(packetmath "-DEIGEN_FAST_MATH=1")
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ei_add_test(vectorization_logic)
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51
test/float_conversion.cpp
Normal file
51
test/float_conversion.cpp
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@ -0,0 +1,51 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include <sstream>
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#include "main.h"
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template<typename From, typename To>
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void test_conversion() {
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typedef Array<From, Dynamic, 1> ArrayXFrom;
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typedef Array<To, Dynamic, 1> ArrayXTo;
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typedef Array<double, Dynamic, 1> ArrayXDouble;
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Index size = internal::random<Index>(1, EIGEN_TEST_MAX_SIZE);
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double from_min = static_cast<double>((std::numeric_limits<From>::min)());
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double from_range = static_cast<double>((std::numeric_limits<From>::max)()) - from_min;
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// ArrayXFrom::Random() only generates 32-bit values (#2749), so we generate
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// doubles and scale to fit the range.
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ArrayXDouble doubles = (ArrayXDouble::Random(size)+1.0)*(from_range/2.0) + from_min;
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ArrayXFrom from = doubles.template cast<From>();
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ArrayXTo to(size);
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for (Index i = 0; i < size; ++i) {
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to(i) = static_cast<To>(from(i));
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}
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VERIFY_IS_APPROX(from.template cast<To>(), to);
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}
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template<typename To>
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void test_conversion_to() {
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CALL_SUBTEST((test_conversion<int64_t, To>()));
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CALL_SUBTEST((test_conversion<uint64_t, To>()));
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CALL_SUBTEST((test_conversion<int32_t, To>()));
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CALL_SUBTEST((test_conversion<uint32_t, To>()));
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CALL_SUBTEST((test_conversion<int16_t, To>()));
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CALL_SUBTEST((test_conversion<uint16_t, To>()));
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CALL_SUBTEST((test_conversion<int8_t, To>()));
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CALL_SUBTEST((test_conversion<uint8_t, To>()));
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}
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EIGEN_DECLARE_TEST(float_conversion)
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST(test_conversion_to<float>());
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CALL_SUBTEST(test_conversion_to<double>());
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}
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}
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