mirror/eigen
2
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2024-12-15 07:10:37 +08:00
Code Issues Packages Projects Releases Wiki Activity

Silenced one more comilation warning

Browse Source
This commit is contained in:
Benoit Steiner 2015-02-28 01:49:09 -08:00
parent 1a7b84dc75
commit 61409d9449
1 changed files with 7 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

14
unsupported/test/cxx11_tensor_morphing.cpp
View File

@ -22,11 +22,11 @@ static void test_simple_reshape()
Tensor<float, 2> tensor3(6,7);
Tensor<float, 2> tensor4(2,21);
Tensor<float, 3>::Dimensions dim1{{2,3,7}};
Tensor<float, 3>::Dimensions dim1(2,3,7);
tensor2 = tensor1.reshape(dim1);
Tensor<float, 2>::Dimensions dim2{{6,7}};
Tensor<float, 2>::Dimensions dim2(6,7);
tensor3 = tensor1.reshape(dim2);
Tensor<float, 2>::Dimensions dim3{{2,21}};
Tensor<float, 2>::Dimensions dim3(2,21);
tensor4 = tensor1.reshape(dim1).reshape(dim3);
for (int i = 0; i < 2; ++i) {
@ -50,8 +50,8 @@ static void test_reshape_in_expr() {
TensorMap<Tensor<float, 5>> tensor1(m1.data(), 2,3,5,7,11);
TensorMap<Tensor<float, 5>> tensor2(m2.data(), 3,5,7,11,13);
Tensor<float, 2>::Dimensions newDims1{{2,3*5*7*11}};
Tensor<float, 2>::Dimensions newDims2{{3*5*7*11,13}};
Tensor<float, 2>::Dimensions newDims1(2,3*5*7*11);
Tensor<float, 2>::Dimensions newDims2(3*5*7*11,13);
typedef Tensor<float, 1>::DimensionPair DimPair;
array<DimPair, 1> contract_along{{DimPair(1, 0)}};
Tensor<float, 2> tensor3(2,13);
@ -72,7 +72,7 @@ static void test_reshape_as_lvalue()
tensor.setRandom();
Tensor<float, 2> tensor2d(6,7);
Tensor<float, 3>::Dimensions dim{{2,3,7}};
Tensor<float, 3>::Dimensions dim(2,3,7);
tensor2d.reshape(dim) = tensor;
float scratch[2*3*1*7*1];
@ -311,7 +311,7 @@ static void test_composition()
Eigen::Tensor<float, 2, DataLayout> matrix(7, 11);
matrix.setRandom();
const DSizes<ptrdiff_t, 3> newDims{{1, 1, 11}};
const DSizes<ptrdiff_t, 3> newDims(1, 1, 11);
Eigen::Tensor<float, 3, DataLayout> tensor =
matrix.slice(DSizes<ptrdiff_t, 2>(2, 0), DSizes<ptrdiff_t, 2>(1, 11)).reshape(newDims);