diff options
| author | Abe Mbise <abe.mbise@arm.com> | 2017-09-07 18:21:28 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 7905f91d0765ea59cf0aadc2a338135f4965586f (patch) | |
| tree | f55e48bbd9029b87ced017cd4678deb940d2663a /tests/validation_old/TensorOperations.h | |
| parent | ff1c360815c268b1f526ba7c16919fd021868a67 (diff) | |
| download | ComputeLibrary-7905f91d0765ea59cf0aadc2a338135f4965586f.tar.gz | |
COMPMID-499: Port Gaussian 3x3 and 5x5 to new validation
Change-Id: Icb82186cb97bd8d6e2c4c63f050ee44e5d753ff7
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/86926
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>
Diffstat (limited to 'tests/validation_old/TensorOperations.h')
| -rw-r--r-- | tests/validation_old/TensorOperations.h | 32 |
1 files changed, 0 insertions, 32 deletions
diff --git a/tests/validation_old/TensorOperations.h b/tests/validation_old/TensorOperations.h index af17ea8dfd..bba09175ca 100644 --- a/tests/validation_old/TensorOperations.h +++ b/tests/validation_old/TensorOperations.h @@ -511,38 +511,6 @@ void accumulate_weighted(const Tensor<T> &in, Tensor<T> &out, float alpha) } } -// Gaussian3x3 filter -template <typename T, typename = typename std::enable_if<std::is_integral<T>::value>::type> -void gaussian3x3(const Tensor<T> &in, Tensor<T> &out, BorderMode border_mode, T constant_border_value) -{ - const std::array<T, 9> filter{ { 1, 2, 1, 2, 4, 2, 1, 2, 1 } }; - const float scale = 1.f / 16.f; - for(int element_idx = 0; element_idx < in.num_elements(); ++element_idx) - { - const Coordinates id = index2coord(in.shape(), element_idx); - apply_2d_spatial_filter(id, in, out, TensorShape(3U, 3U), filter.data(), scale, border_mode, constant_border_value); - } -} - -// Gaussian5x5 filter -template <typename T, typename = typename std::enable_if<std::is_integral<T>::value>::type> -void gaussian5x5(const Tensor<T> &in, Tensor<T> &out, BorderMode border_mode, T constant_border_value) -{ - const std::array<T, 25> filter{ { - 1, 4, 6, 4, 1, - 4, 16, 24, 16, 4, - 6, 24, 36, 24, 6, - 4, 16, 24, 16, 4, - 1, 4, 6, 4, 1 - } }; - const float scale = 1.f / 256.f; - for(int element_idx = 0; element_idx < in.num_elements(); ++element_idx) - { - const Coordinates id = index2coord(in.shape(), element_idx); - apply_2d_spatial_filter(id, in, out, TensorShape(5U, 5U), filter.data(), scale, border_mode, constant_border_value); - } -} - // Non linear filter template <typename T> void non_linear_filter(const Tensor<T> &in, Tensor<T> &out, NonLinearFilterFunction function, unsigned int mask_size, |