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Don't crash when attempting to slice an empty tensor.

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This commit is contained in:
Rasmus Munk Larsen
2021-02-24 18:12:51 -08:00
parent 113e61f364
commit f284c8592b
2 changed files with 68 additions and 4 deletions
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60
unsupported/test/cxx11_tensor_morphing.cpp
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@@ -479,6 +479,66 @@ static void test_composition()
}
}
template<typename T, int DataLayout>
static void test_empty_slice()
{
Tensor<T, 3, DataLayout> tensor(2,3,5);
tensor.setRandom();
Tensor<T, 3, DataLayout> copy = tensor;
// empty size in first dimension
Eigen::DSizes<ptrdiff_t, 3> indices1(1,2,3);
Eigen::DSizes<ptrdiff_t, 3> sizes1(0,1,2);
Tensor<T, 3, DataLayout> slice1(0,1,2);
slice1.setRandom();
tensor.slice(indices1, sizes1) = slice1;
// empty size in second dimension
Eigen::DSizes<ptrdiff_t, 3> indices2(1,2,3);
Eigen::DSizes<ptrdiff_t, 3> sizes2(1,0,2);
Tensor<T, 3, DataLayout> slice2(1,0,2);
slice2.setRandom();
tensor.slice(indices2, sizes2) = slice2;
// empty size in third dimension
Eigen::DSizes<ptrdiff_t, 3> indices3(1,2,3);
Eigen::DSizes<ptrdiff_t, 3> sizes3(1,1,0);
Tensor<T, 3, DataLayout> slice3(1,1,0);
slice3.setRandom();
tensor.slice(indices3, sizes3) = slice3;
// empty size in first and second dimension
Eigen::DSizes<ptrdiff_t, 3> indices4(1,2,3);
Eigen::DSizes<ptrdiff_t, 3> sizes4(0,0,2);
Tensor<T, 3, DataLayout> slice4(0,0,2);
slice4.setRandom();
tensor.slice(indices4, sizes4) = slice4;
// empty size in second and third dimension
Eigen::DSizes<ptrdiff_t, 3> indices5(1,2,3);
Eigen::DSizes<ptrdiff_t, 3> sizes5(1,0,0);
Tensor<T, 3, DataLayout> slice5(1,0,0);
slice5.setRandom();
tensor.slice(indices5, sizes5) = slice5;
// empty size in all dimensions
Eigen::DSizes<ptrdiff_t, 3> indices6(1,2,3);
Eigen::DSizes<ptrdiff_t, 3> sizes6(0,0,0);
Tensor<T, 3, DataLayout> slice6(0,0,0);
slice6.setRandom();
tensor.slice(indices6, sizes6) = slice6;
// none of these operations should change the tensor's components
// because all of the rvalue slices have at least one zero dimension
for (int i = 0; i < 2; ++i) {
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 5; ++k) {
VERIFY_IS_EQUAL(tensor(i,j,k), copy(i,j,k));
}
}
}
}
#define CALL_SUBTEST_PART(PART) \
CALL_SUBTEST_##PART