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Clang-format tests, examples, libraries, benchmarks, etc.

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This commit is contained in:
Antonio Sánchez
2023-12-05 21:22:55 +00:00
committed by Rasmus Munk Larsen
parent 3252ecc7a4
commit 46e9cdb7fe
876 changed files with 33453 additions and 37795 deletions
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32
unsupported/test/cxx11_tensor_random.cpp
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@@ -11,36 +11,33 @@
#include <Eigen/CXX11/Tensor>
template<typename Scalar>
static void test_default()
{
template <typename Scalar>
static void test_default() {
Tensor<Scalar, 1> vec(6);
vec.setRandom();
// Fixme: we should check that the generated numbers follow a uniform
// distribution instead.
for (int i = 1; i < 6; ++i) {
VERIFY_IS_NOT_EQUAL(vec(i), vec(i-1));
VERIFY_IS_NOT_EQUAL(vec(i), vec(i - 1));
}
}
template<typename Scalar>
static void test_normal()
{
template <typename Scalar>
static void test_normal() {
Tensor<Scalar, 1> vec(6);
vec.template setRandom<Eigen::internal::NormalRandomGenerator<Scalar>>();
// Fixme: we should check that the generated numbers follow a gaussian
// distribution instead.
for (int i = 1; i < 6; ++i) {
VERIFY_IS_NOT_EQUAL(vec(i), vec(i-1));
VERIFY_IS_NOT_EQUAL(vec(i), vec(i - 1));
}
}
struct MyGenerator {
MyGenerator() { }
MyGenerator(const MyGenerator&) { }
MyGenerator() {}
MyGenerator(const MyGenerator&) {}
// Return a random value to be used. "element_location" is the
// location of the entry to set in the tensor, it can typically
@@ -50,8 +47,8 @@ struct MyGenerator {
}
// Same as above but generates several numbers at a time.
internal::packet_traits<int>::type packetOp(
Eigen::DenseIndex packet_location, Eigen::DenseIndex /*unused*/ = 0) const {
internal::packet_traits<int>::type packetOp(Eigen::DenseIndex packet_location,
Eigen::DenseIndex /*unused*/ = 0) const {
const int packetSize = internal::packet_traits<int>::size;
EIGEN_ALIGN_MAX int values[packetSize];
for (int i = 0; i < packetSize; ++i) {
@@ -61,19 +58,16 @@ struct MyGenerator {
}
};
static void test_custom()
{
static void test_custom() {
Tensor<int, 1> vec(6);
vec.setRandom<MyGenerator>();
for (int i = 0; i < 6; ++i) {
VERIFY_IS_EQUAL(vec(i), 3*i);
VERIFY_IS_EQUAL(vec(i), 3 * i);
}
}
EIGEN_DECLARE_TEST(cxx11_tensor_random)
{
EIGEN_DECLARE_TEST(cxx11_tensor_random) {
CALL_SUBTEST((test_default<float>()));
CALL_SUBTEST((test_normal<float>()));
CALL_SUBTEST((test_default<double>()));