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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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63
unsupported/test/cxx11_tensor_shuffling.cpp
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@@ -11,13 +11,12 @@
#include <Eigen/CXX11/Tensor>
using Eigen::Tensor;
using Eigen::array;
using Eigen::Tensor;
template <int DataLayout>
static void test_simple_shuffling()
{
Tensor<float, 4, DataLayout> tensor(2,3,5,7);
static void test_simple_shuffling() {
Tensor<float, 4, DataLayout> tensor(2, 3, 5, 7);
tensor.setRandom();
array<ptrdiff_t, 4> shuffles;
shuffles[0] = 0;
@@ -37,7 +36,7 @@ static void test_simple_shuffling()
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 5; ++k) {
for (int l = 0; l < 7; ++l) {
VERIFY_IS_EQUAL(tensor(i,j,k,l), no_shuffle(i,j,k,l));
VERIFY_IS_EQUAL(tensor(i, j, k, l), no_shuffle(i, j, k, l));
}
}
}
@@ -59,18 +58,16 @@ static void test_simple_shuffling()
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 5; ++k) {
for (int l = 0; l < 7; ++l) {
VERIFY_IS_EQUAL(tensor(i,j,k,l), shuffle(k,l,j,i));
VERIFY_IS_EQUAL(tensor(i, j, k, l), shuffle(k, l, j, i));
}
}
}
}
}
template <int DataLayout>
static void test_expr_shuffling()
{
Tensor<float, 4, DataLayout> tensor(2,3,5,7);
static void test_expr_shuffling() {
Tensor<float, 4, DataLayout> tensor(2, 3, 5, 7);
tensor.setRandom();
array<ptrdiff_t, 4> shuffles;
@@ -89,8 +86,7 @@ static void test_expr_shuffling()
array<ptrdiff_t, 4> dst_slice_start{{0, 0, 0, 0}};
for (int i = 0; i < 5; ++i) {
result.slice(dst_slice_start, dst_slice_dim) =
tensor.slice(src_slice_start, src_slice_dim).shuffle(shuffles);
result.slice(dst_slice_start, dst_slice_dim) = tensor.slice(src_slice_start, src_slice_dim).shuffle(shuffles);
src_slice_start[2] += 1;
dst_slice_start[0] += 1;
}
@@ -104,7 +100,7 @@ static void test_expr_shuffling()
for (int j = 0; j < expected.dimension(1); ++j) {
for (int k = 0; k < expected.dimension(2); ++k) {
for (int l = 0; l < expected.dimension(3); ++l) {
VERIFY_IS_EQUAL(result(i,j,k,l), expected(i,j,k,l));
VERIFY_IS_EQUAL(result(i, j, k, l), expected(i, j, k, l));
}
}
}
@@ -113,8 +109,7 @@ static void test_expr_shuffling()
dst_slice_start[0] = 0;
result.setRandom();
for (int i = 0; i < 5; ++i) {
result.slice(dst_slice_start, dst_slice_dim) =
tensor.shuffle(shuffles).slice(dst_slice_start, dst_slice_dim);
result.slice(dst_slice_start, dst_slice_dim) = tensor.shuffle(shuffles).slice(dst_slice_start, dst_slice_dim);
dst_slice_start[0] += 1;
}
@@ -122,25 +117,23 @@ static void test_expr_shuffling()
for (int j = 0; j < expected.dimension(1); ++j) {
for (int k = 0; k < expected.dimension(2); ++k) {
for (int l = 0; l < expected.dimension(3); ++l) {
VERIFY_IS_EQUAL(result(i,j,k,l), expected(i,j,k,l));
VERIFY_IS_EQUAL(result(i, j, k, l), expected(i, j, k, l));
}
}
}
}
}
template <int DataLayout>
static void test_shuffling_as_value()
{
Tensor<float, 4, DataLayout> tensor(2,3,5,7);
static void test_shuffling_as_value() {
Tensor<float, 4, DataLayout> tensor(2, 3, 5, 7);
tensor.setRandom();
array<ptrdiff_t, 4> shuffles;
shuffles[2] = 0;
shuffles[3] = 1;
shuffles[1] = 2;
shuffles[0] = 3;
Tensor<float, 4, DataLayout> shuffle(5,7,3,2);
Tensor<float, 4, DataLayout> shuffle(5, 7, 3, 2);
shuffle.shuffle(shuffles) = tensor;
VERIFY_IS_EQUAL(shuffle.dimension(0), 5);
@@ -152,7 +145,7 @@ static void test_shuffling_as_value()
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 5; ++k) {
for (int l = 0; l < 7; ++l) {
VERIFY_IS_EQUAL(tensor(i,j,k,l), shuffle(k,l,j,i));
VERIFY_IS_EQUAL(tensor(i, j, k, l), shuffle(k, l, j, i));
}
}
}
@@ -163,24 +156,22 @@ static void test_shuffling_as_value()
no_shuffle[1] = 1;
no_shuffle[2] = 2;
no_shuffle[3] = 3;
Tensor<float, 4, DataLayout> shuffle2(5,7,3,2);
Tensor<float, 4, DataLayout> shuffle2(5, 7, 3, 2);
shuffle2.shuffle(shuffles) = tensor.shuffle(no_shuffle);
for (int i = 0; i < 5; ++i) {
for (int j = 0; j < 7; ++j) {
for (int k = 0; k < 3; ++k) {
for (int l = 0; l < 2; ++l) {
VERIFY_IS_EQUAL(shuffle2(i,j,k,l), shuffle(i,j,k,l));
VERIFY_IS_EQUAL(shuffle2(i, j, k, l), shuffle(i, j, k, l));
}
}
}
}
}
template <int DataLayout>
static void test_shuffle_unshuffle()
{
Tensor<float, 4, DataLayout> tensor(2,3,5,7);
static void test_shuffle_unshuffle() {
Tensor<float, 4, DataLayout> tensor(2, 3, 5, 7);
tensor.setRandom();
// Choose a random permutation.
@@ -207,18 +198,16 @@ static void test_shuffle_unshuffle()
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 5; ++k) {
for (int l = 0; l < 7; ++l) {
VERIFY_IS_EQUAL(tensor(i,j,k,l), shuffle(i,j,k,l));
VERIFY_IS_EQUAL(tensor(i, j, k, l), shuffle(i, j, k, l));
}
}
}
}
}
template <int DataLayout>
static void test_empty_shuffling()
{
Tensor<float, 4, DataLayout> tensor(2,3,0,7);
static void test_empty_shuffling() {
Tensor<float, 4, DataLayout> tensor(2, 3, 0, 7);
tensor.setRandom();
array<ptrdiff_t, 4> shuffles;
shuffles[0] = 0;
@@ -238,7 +227,7 @@ static void test_empty_shuffling()
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 0; ++k) {
for (int l = 0; l < 7; ++l) {
VERIFY_IS_EQUAL(tensor(i,j,k,l), no_shuffle(i,j,k,l));
VERIFY_IS_EQUAL(tensor(i, j, k, l), no_shuffle(i, j, k, l));
}
}
}
@@ -260,16 +249,14 @@ static void test_empty_shuffling()
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 0; ++k) {
for (int l = 0; l < 7; ++l) {
VERIFY_IS_EQUAL(tensor(i,j,k,l), shuffle(k,l,j,i));
VERIFY_IS_EQUAL(tensor(i, j, k, l), shuffle(k, l, j, i));
}
}
}
}
}
EIGEN_DECLARE_TEST(cxx11_tensor_shuffling)
{
EIGEN_DECLARE_TEST(cxx11_tensor_shuffling) {
CALL_SUBTEST(test_simple_shuffling<ColMajor>());
CALL_SUBTEST(test_simple_shuffling<RowMajor>());
CALL_SUBTEST(test_expr_shuffling<ColMajor>());