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Fixed Tensor documentation formatting.

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This commit is contained in:
Alberto Luaces 2019-07-23 09:24:06 +00:00
parent 15f3d9d272
commit c694be1214
1 changed files with 80 additions and 78 deletions
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78
unsupported/Eigen/CXX11/src/Tensor/README.md
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@ -1636,8 +1636,8 @@ For example, given the following input tensor:
{8.0f, 9.0f, 10.0f, 11.0f}}); {8.0f, 9.0f, 10.0f, 11.0f}});
cout << "tensor: " << endl << tensor << endl; cout << "tensor: " << endl << tensor << endl;
=> =>
tensor: tensor:
0 1 2 3 0 1 2 3
4 5 6 7 4 5 6 7
8 9 10 11 8 9 10 11
@ -1665,46 +1665,46 @@ Six 2x2 patches can be extracted and indexed using the following code:
This code results in the following output when the data layout is ColMajor: This code results in the following output when the data layout is ColMajor:
patch index: 0 patch index: 0
0 1 0 1
4 5 4 5
patch index: 1 patch index: 1
4 5 4 5
8 9 8 9
patch index: 2 patch index: 2
1 2 1 2
5 6 5 6
patch index: 3 patch index: 3
5 6 5 6
9 10 9 10
patch index: 4 patch index: 4
2 3 2 3
6 7 6 7
patch index: 5 patch index: 5
6 7 6 7
10 11 10 11
This code results in the following output when the data layout is RowMajor: This code results in the following output when the data layout is RowMajor:
(NOTE: the set of patches is the same as in ColMajor, but are indexed differently). (NOTE: the set of patches is the same as in ColMajor, but are indexed differently).
patch index: 0 patch index: 0
0 1 0 1
4 5 4 5
patch index: 1 patch index: 1
1 2 1 2
5 6 5 6
patch index: 2 patch index: 2
2 3 2 3
6 7 6 7
patch index: 3 patch index: 3
4 5 4 5
8 9 8 9
patch index: 4 patch index: 4
5 6 5 6
9 10 9 10
patch index: 5 patch index: 5
6 7 6 7
10 11 10 11
### `<Operation> extract_image_patches(const Index patch_rows, const Index patch_cols, const Index row_stride, const Index col_stride, const PaddingType padding_type)` ### `<Operation> extract_image_patches(const Index patch_rows, const Index patch_cols, const Index row_stride, const Index col_stride, const PaddingType padding_type)`
@ -1742,6 +1742,7 @@ sizes:
2x2 image patches can be extracted and indexed using the following code: 2x2 image patches can be extracted and indexed using the following code:
*) 2D patch: ColMajor (patch indexed by second-to-last dimension) *) 2D patch: ColMajor (patch indexed by second-to-last dimension)
Tensor<float, 5> twod_patch; Tensor<float, 5> twod_patch;
twod_patch = tensor.extract_image_patches<2, 2>(); twod_patch = tensor.extract_image_patches<2, 2>();
// twod_patch.dimension(0) == 2 // twod_patch.dimension(0) == 2
@ -1751,6 +1752,7 @@ sizes:
// twod_patch.dimension(4) == 7 // twod_patch.dimension(4) == 7
*) 2D patch: RowMajor (patch indexed by the second dimension) *) 2D patch: RowMajor (patch indexed by the second dimension)
Tensor<float, 5, RowMajor> twod_patch_row_major; Tensor<float, 5, RowMajor> twod_patch_row_major;
twod_patch_row_major = tensor_row_major.extract_image_patches<2, 2>(); twod_patch_row_major = tensor_row_major.extract_image_patches<2, 2>();
// twod_patch_row_major.dimension(0) == 7 // twod_patch_row_major.dimension(0) == 7