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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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51
unsupported/test/cxx11_tensor_convolution.cpp
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@@ -11,19 +11,18 @@
#include <Eigen/CXX11/Tensor>
using Eigen::Tensor;
using Eigen::DefaultDevice;
using Eigen::Tensor;
template <int DataLayout>
static void test_evals()
{
static void test_evals() {
Tensor<float, 2, DataLayout> input(3, 3);
Tensor<float, 1, DataLayout> kernel(2);
input.setRandom();
kernel.setRandom();
Tensor<float, 2, DataLayout> result(2,3);
Tensor<float, 2, DataLayout> result(2, 3);
result.setZero();
Eigen::array<Tensor<float, 2>::Index, 1> dims3;
dims3[0] = 0;
@@ -31,40 +30,39 @@ static void test_evals()
typedef TensorEvaluator<decltype(input.convolve(kernel, dims3)), DefaultDevice> Evaluator;
Evaluator eval(input.convolve(kernel, dims3), DefaultDevice());
eval.evalTo(result.data());
EIGEN_STATIC_ASSERT(Evaluator::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT(Evaluator::NumDims == 2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
VERIFY_IS_EQUAL(eval.dimensions()[0], 2);
VERIFY_IS_EQUAL(eval.dimensions()[1], 3);
VERIFY_IS_APPROX(result(0,0), input(0,0)*kernel(0) + input(1,0)*kernel(1)); // index 0
VERIFY_IS_APPROX(result(0,1), input(0,1)*kernel(0) + input(1,1)*kernel(1)); // index 2
VERIFY_IS_APPROX(result(0,2), input(0,2)*kernel(0) + input(1,2)*kernel(1)); // index 4
VERIFY_IS_APPROX(result(1,0), input(1,0)*kernel(0) + input(2,0)*kernel(1)); // index 1
VERIFY_IS_APPROX(result(1,1), input(1,1)*kernel(0) + input(2,1)*kernel(1)); // index 3
VERIFY_IS_APPROX(result(1,2), input(1,2)*kernel(0) + input(2,2)*kernel(1)); // index 5
VERIFY_IS_APPROX(result(0, 0), input(0, 0) * kernel(0) + input(1, 0) * kernel(1)); // index 0
VERIFY_IS_APPROX(result(0, 1), input(0, 1) * kernel(0) + input(1, 1) * kernel(1)); // index 2
VERIFY_IS_APPROX(result(0, 2), input(0, 2) * kernel(0) + input(1, 2) * kernel(1)); // index 4
VERIFY_IS_APPROX(result(1, 0), input(1, 0) * kernel(0) + input(2, 0) * kernel(1)); // index 1
VERIFY_IS_APPROX(result(1, 1), input(1, 1) * kernel(0) + input(2, 1) * kernel(1)); // index 3
VERIFY_IS_APPROX(result(1, 2), input(1, 2) * kernel(0) + input(2, 2) * kernel(1)); // index 5
}
template <int DataLayout>
static void test_expr()
{
static void test_expr() {
Tensor<float, 2, DataLayout> input(3, 3);
Tensor<float, 2, DataLayout> kernel(2, 2);
input.setRandom();
kernel.setRandom();
Tensor<float, 2, DataLayout> result(2,2);
Tensor<float, 2, DataLayout> result(2, 2);
Eigen::array<ptrdiff_t, 2> dims;
dims[0] = 0;
dims[1] = 1;
result = input.convolve(kernel, dims);
VERIFY_IS_APPROX(result(0,0), input(0,0)*kernel(0,0) + input(0,1)*kernel(0,1) +
input(1,0)*kernel(1,0) + input(1,1)*kernel(1,1));
VERIFY_IS_APPROX(result(0,1), input(0,1)*kernel(0,0) + input(0,2)*kernel(0,1) +
input(1,1)*kernel(1,0) + input(1,2)*kernel(1,1));
VERIFY_IS_APPROX(result(1,0), input(1,0)*kernel(0,0) + input(1,1)*kernel(0,1) +
input(2,0)*kernel(1,0) + input(2,1)*kernel(1,1));
VERIFY_IS_APPROX(result(1,1), input(1,1)*kernel(0,0) + input(1,2)*kernel(0,1) +
input(2,1)*kernel(1,0) + input(2,2)*kernel(1,1));
VERIFY_IS_APPROX(result(0, 0), input(0, 0) * kernel(0, 0) + input(0, 1) * kernel(0, 1) + input(1, 0) * kernel(1, 0) +
input(1, 1) * kernel(1, 1));
VERIFY_IS_APPROX(result(0, 1), input(0, 1) * kernel(0, 0) + input(0, 2) * kernel(0, 1) + input(1, 1) * kernel(1, 0) +
input(1, 2) * kernel(1, 1));
VERIFY_IS_APPROX(result(1, 0), input(1, 0) * kernel(0, 0) + input(1, 1) * kernel(0, 1) + input(2, 0) * kernel(1, 0) +
input(2, 1) * kernel(1, 1));
VERIFY_IS_APPROX(result(1, 1), input(1, 1) * kernel(0, 0) + input(1, 2) * kernel(0, 1) + input(2, 1) * kernel(1, 0) +
input(2, 2) * kernel(1, 1));
}
template <int DataLayout>
@@ -131,14 +129,11 @@ static void test_strides() {
result = input.stride(stride_of_3).convolve(kernel, dims).stride(stride_of_2);
VERIFY_IS_EQUAL(result.dimension(0), 2);
VERIFY_IS_APPROX(result(0), (input(0)*kernel(0) + input(3)*kernel(1) +
input(6)*kernel(2)));
VERIFY_IS_APPROX(result(1), (input(6)*kernel(0) + input(9)*kernel(1) +
input(12)*kernel(2)));
VERIFY_IS_APPROX(result(0), (input(0) * kernel(0) + input(3) * kernel(1) + input(6) * kernel(2)));
VERIFY_IS_APPROX(result(1), (input(6) * kernel(0) + input(9) * kernel(1) + input(12) * kernel(2)));
}
EIGEN_DECLARE_TEST(cxx11_tensor_convolution)
{
EIGEN_DECLARE_TEST(cxx11_tensor_convolution) {
CALL_SUBTEST(test_evals<ColMajor>());
CALL_SUBTEST(test_evals<RowMajor>());
CALL_SUBTEST(test_expr<ColMajor>());