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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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37
unsupported/test/cxx11_tensor_ifft.cpp
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@@ -58,8 +58,9 @@ static void test_2D_fft_ifft_invariant(int dim0, int dim1) {
for (int i = 0; i < dim0; ++i) {
for (int j = 0; j < dim1; ++j) {
//std::cout << "[" << i << "][" << j << "]" << " Original data: " << tensor(i,j) << " Transformed data:" << tensor_after_fft_ifft(i,j) << std::endl;
VERIFY_IS_APPROX(static_cast<float>(tensor(i,j)), static_cast<float>(std::real(tensor_after_fft_ifft(i,j))));
// std::cout << "[" << i << "][" << j << "]" << " Original data: " << tensor(i,j) << " Transformed data:" <<
// tensor_after_fft_ifft(i,j) << std::endl;
VERIFY_IS_APPROX(static_cast<float>(tensor(i, j)), static_cast<float>(std::real(tensor_after_fft_ifft(i, j))));
}
}
}
@@ -90,7 +91,8 @@ static void test_3D_fft_ifft_invariant(int dim0, int dim1, int dim2) {
for (int i = 0; i < dim0; ++i) {
for (int j = 0; j < dim1; ++j) {
for (int k = 0; k < dim2; ++k) {
VERIFY_IS_APPROX(static_cast<float>(tensor(i,j,k)), static_cast<float>(std::real(tensor_after_fft_ifft(i,j,k))));
VERIFY_IS_APPROX(static_cast<float>(tensor(i, j, k)),
static_cast<float>(std::real(tensor_after_fft_ifft(i, j, k))));
}
}
}
@@ -124,7 +126,8 @@ static void test_sub_fft_ifft_invariant(int dim0, int dim1, int dim2, int dim3)
for (int j = 0; j < dim1; ++j) {
for (int k = 0; k < dim2; ++k) {
for (int l = 0; l < dim3; ++l) {
VERIFY_IS_APPROX(static_cast<float>(tensor(i,j,k,l)), static_cast<float>(tensor_after_fft_ifft(i,j,k,l)));
VERIFY_IS_APPROX(static_cast<float>(tensor(i, j, k, l)),
static_cast<float>(tensor_after_fft_ifft(i, j, k, l)));
}
}
}
@@ -135,20 +138,20 @@ EIGEN_DECLARE_TEST(cxx11_tensor_ifft) {
CALL_SUBTEST(test_1D_fft_ifft_invariant<ColMajor>(4));
CALL_SUBTEST(test_1D_fft_ifft_invariant<ColMajor>(16));
CALL_SUBTEST(test_1D_fft_ifft_invariant<ColMajor>(32));
CALL_SUBTEST(test_1D_fft_ifft_invariant<ColMajor>(1024*1024));
CALL_SUBTEST(test_1D_fft_ifft_invariant<ColMajor>(1024 * 1024));
CALL_SUBTEST(test_2D_fft_ifft_invariant<ColMajor>(4,4));
CALL_SUBTEST(test_2D_fft_ifft_invariant<ColMajor>(8,16));
CALL_SUBTEST(test_2D_fft_ifft_invariant<ColMajor>(16,32));
CALL_SUBTEST(test_2D_fft_ifft_invariant<ColMajor>(1024,1024));
CALL_SUBTEST(test_2D_fft_ifft_invariant<ColMajor>(4, 4));
CALL_SUBTEST(test_2D_fft_ifft_invariant<ColMajor>(8, 16));
CALL_SUBTEST(test_2D_fft_ifft_invariant<ColMajor>(16, 32));
CALL_SUBTEST(test_2D_fft_ifft_invariant<ColMajor>(1024, 1024));
CALL_SUBTEST(test_3D_fft_ifft_invariant<ColMajor>(4,4,4));
CALL_SUBTEST(test_3D_fft_ifft_invariant<ColMajor>(8,16,32));
CALL_SUBTEST(test_3D_fft_ifft_invariant<ColMajor>(16,4,8));
CALL_SUBTEST(test_3D_fft_ifft_invariant<ColMajor>(256,256,256));
CALL_SUBTEST(test_3D_fft_ifft_invariant<ColMajor>(4, 4, 4));
CALL_SUBTEST(test_3D_fft_ifft_invariant<ColMajor>(8, 16, 32));
CALL_SUBTEST(test_3D_fft_ifft_invariant<ColMajor>(16, 4, 8));
CALL_SUBTEST(test_3D_fft_ifft_invariant<ColMajor>(256, 256, 256));
CALL_SUBTEST(test_sub_fft_ifft_invariant<ColMajor>(4,4,4,4));
CALL_SUBTEST(test_sub_fft_ifft_invariant<ColMajor>(8,16,32,64));
CALL_SUBTEST(test_sub_fft_ifft_invariant<ColMajor>(16,4,8,12));
CALL_SUBTEST(test_sub_fft_ifft_invariant<ColMajor>(64,64,64,64));
CALL_SUBTEST(test_sub_fft_ifft_invariant<ColMajor>(4, 4, 4, 4));
CALL_SUBTEST(test_sub_fft_ifft_invariant<ColMajor>(8, 16, 32, 64));
CALL_SUBTEST(test_sub_fft_ifft_invariant<ColMajor>(16, 4, 8, 12));
CALL_SUBTEST(test_sub_fft_ifft_invariant<ColMajor>(64, 64, 64, 64));
}