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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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44
unsupported/test/cxx11_tensor_forced_eval.cpp
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@@ -15,17 +15,16 @@
using Eigen::MatrixXf;
using Eigen::Tensor;
static void test_simple()
{
MatrixXf m1(3,3);
MatrixXf m2(3,3);
static void test_simple() {
MatrixXf m1(3, 3);
MatrixXf m2(3, 3);
m1.setRandom();
m2.setRandom();
TensorMap<Tensor<float, 2> > mat1(m1.data(), 3,3);
TensorMap<Tensor<float, 2> > mat2(m2.data(), 3,3);
TensorMap<Tensor<float, 2> > mat1(m1.data(), 3, 3);
TensorMap<Tensor<float, 2> > mat2(m2.data(), 3, 3);
Tensor<float, 2> mat3(3,3);
Tensor<float, 2> mat3(3, 3);
mat3 = mat1;
typedef Tensor<float, 1>::DimensionPair DimPair;
@@ -34,21 +33,19 @@ static void test_simple()
mat3 = mat3.contract(mat2, dims).eval();
VERIFY_IS_APPROX(mat3(0, 0), (m1*m2).eval()(0,0));
VERIFY_IS_APPROX(mat3(0, 1), (m1*m2).eval()(0,1));
VERIFY_IS_APPROX(mat3(0, 2), (m1*m2).eval()(0,2));
VERIFY_IS_APPROX(mat3(1, 0), (m1*m2).eval()(1,0));
VERIFY_IS_APPROX(mat3(1, 1), (m1*m2).eval()(1,1));
VERIFY_IS_APPROX(mat3(1, 2), (m1*m2).eval()(1,2));
VERIFY_IS_APPROX(mat3(2, 0), (m1*m2).eval()(2,0));
VERIFY_IS_APPROX(mat3(2, 1), (m1*m2).eval()(2,1));
VERIFY_IS_APPROX(mat3(2, 2), (m1*m2).eval()(2,2));
VERIFY_IS_APPROX(mat3(0, 0), (m1 * m2).eval()(0, 0));
VERIFY_IS_APPROX(mat3(0, 1), (m1 * m2).eval()(0, 1));
VERIFY_IS_APPROX(mat3(0, 2), (m1 * m2).eval()(0, 2));
VERIFY_IS_APPROX(mat3(1, 0), (m1 * m2).eval()(1, 0));
VERIFY_IS_APPROX(mat3(1, 1), (m1 * m2).eval()(1, 1));
VERIFY_IS_APPROX(mat3(1, 2), (m1 * m2).eval()(1, 2));
VERIFY_IS_APPROX(mat3(2, 0), (m1 * m2).eval()(2, 0));
VERIFY_IS_APPROX(mat3(2, 1), (m1 * m2).eval()(2, 1));
VERIFY_IS_APPROX(mat3(2, 2), (m1 * m2).eval()(2, 2));
}
static void test_const()
{
MatrixXf input(3,3);
static void test_const() {
MatrixXf input(3, 3);
input.setRandom();
MatrixXf output = input;
output.rowwise() -= input.colwise().maxCoeff();
@@ -62,7 +59,8 @@ static void test_const()
bcast[0] = 3;
bcast[1] = 1;
const TensorMap<const Tensor<float, 2> > input_tensor(input.data(), 3, 3);
Tensor<float, 2> output_tensor= (input_tensor - input_tensor.maximum(depth_dim).eval().reshape(dims2d).broadcast(bcast));
Tensor<float, 2> output_tensor =
(input_tensor - input_tensor.maximum(depth_dim).eval().reshape(dims2d).broadcast(bcast));
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 3; ++j) {
@@ -71,9 +69,7 @@ static void test_const()
}
}
EIGEN_DECLARE_TEST(cxx11_tensor_forced_eval)
{
EIGEN_DECLARE_TEST(cxx11_tensor_forced_eval) {
CALL_SUBTEST(test_simple());
CALL_SUBTEST(test_const());
}