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| author | Alex Gilday <alexander.gilday@arm.com> | 2018-03-23 14:16:00 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:49:16 +0000 |
| commit | 7da29b6b12ff319ed2b6e2c46588dfa1991556fb (patch) | |
| tree | 24e766d916ae8da32deb5cd4fac4d82207cbe6ea /tests/validation/reference/Convolution3d.h | |
| parent | f92cb23f06572fe73ec5ab9da0ec5713724c2dde (diff) | |
| download | ComputeLibrary-7da29b6b12ff319ed2b6e2c46588dfa1991556fb.tar.gz | |
COMPMID-1017: Implement dilated convolution in NEON, OpenCL, and GC
Change-Id: If4626ec9e215e14dffe22e80812da5bac84a52e2
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/125734
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/reference/Convolution3d.h')
| -rw-r--r-- | tests/validation/reference/Convolution3d.h | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/tests/validation/reference/Convolution3d.h b/tests/validation/reference/Convolution3d.h index b99d534635..700175880b 100644 --- a/tests/validation/reference/Convolution3d.h +++ b/tests/validation/reference/Convolution3d.h @@ -46,7 +46,7 @@ inline bool is_valid_pixel(int i, int min, int max) template < typename T, typename TB, typename std::enable_if < validation::is_floating_point<T>::value &&validation::is_floating_point<TB>::value, int >::type = 0 > inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<T> &weights, const SimpleTensor<TB> &bias, SimpleTensor<T> &out, int i_offset, int w_offset, int b_offset, int o_offset, - int xi, int yi, int width_in, int height_in, int depth_in, int width_weights, int height_weights) + int xi, int yi, int width_in, int height_in, int depth_in, int width_weights, int height_weights, int dilation_x = 1, int dilation_y = 1) { const T *in_ptr = in.data() + i_offset; const T *w_ptr = weights.data() + w_offset; @@ -73,12 +73,12 @@ inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<T> &weig for(int xk = -half_width_weights_start; xk <= half_width_weights_end; ++xk) { // Check if the pixel is out-of-bound - if(is_valid_pixel(xi + xk, 0, width_in) && is_valid_pixel(yi + yk, 0, height_in)) + if(is_valid_pixel(xi + xk * dilation_x, 0, width_in) && is_valid_pixel(yi + yk * dilation_y, 0, height_in)) { const int idx = xk + half_width_weights_start; const int idy = yk + half_height_weights_start; - const T i_value = in_ptr[offset_slice_in + xk + yk * width_in]; + const T i_value = in_ptr[offset_slice_in + xk * dilation_x + yk * dilation_y * width_in]; const T w_value = w_ptr[idx + idy * width_weights + ifm * width_weights * height_weights]; acc += i_value * w_value; @@ -95,7 +95,7 @@ inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<T> &weig template < typename T, typename TB, typename std::enable_if < std::is_integral<T>::value &&std::is_integral<TB>::value, int >::type = 0 > inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<T> &weights, const SimpleTensor<TB> &bias, SimpleTensor<T> &out, int i_offset, int w_offset, int b_offset, int o_offset, - int xi, int yi, int width_in, int height_in, int depth_in, int width_weights, int height_weights) + int xi, int yi, int width_in, int height_in, int depth_in, int width_weights, int height_weights, int dilation_x = 1, int dilation_y = 1) { const T *in_ptr = in.data() + i_offset; const T *w_ptr = weights.data() + w_offset; @@ -126,12 +126,12 @@ inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<T> &weig for(int xk = -half_width_weights_start; xk <= half_width_weights_end; ++xk) { // Check if the pixel is out-of-bound - if(is_valid_pixel(xi + xk, 0, width_in) && is_valid_pixel(yi + yk, 0, height_in)) + if(is_valid_pixel(xi + xk * dilation_x, 0, width_in) && is_valid_pixel(yi + yk * dilation_y, 0, height_in)) { const int idx = xk + half_width_weights_start; const int idy = yk + half_height_weights_start; - const fixed_point<promoted_type> i_value(in_ptr[offset_slice_in + xk + yk * width_in], fixed_point_position, true); + const fixed_point<promoted_type> i_value(in_ptr[offset_slice_in + xk * dilation_x + yk * dilation_y * width_in], fixed_point_position, true); const fixed_point<promoted_type> w_value(w_ptr[idx + idy * width_weights + ifm * width_weights * height_weights], fixed_point_position, true); const fixed_point<promoted_type> iw = i_value * w_value; acc = iw + acc; @@ -153,7 +153,7 @@ inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<T> &weig template <> inline void convolution3d(const SimpleTensor<uint8_t> &in, const SimpleTensor<uint8_t> &weights, const SimpleTensor<int32_t> &bias, SimpleTensor<uint8_t> &out, int i_offset, int w_offset, int b_offset, int o_offset, - int xi, int yi, int width_in, int height_in, int depth_in, int width_weights, int height_weights) + int xi, int yi, int width_in, int height_in, int depth_in, int width_weights, int height_weights, int dilation_x, int dilation_y) { const uint8_t *in_ptr = in.data() + i_offset; const uint8_t *w_ptr = weights.data() + w_offset; @@ -192,12 +192,12 @@ inline void convolution3d(const SimpleTensor<uint8_t> &in, const SimpleTensor<ui for(int xk = -half_width_weights_start; xk <= half_width_weights_end; ++xk) { // Check if the pixel is out-of-bound - if(is_valid_pixel(xi + xk, 0, width_in) && is_valid_pixel(yi + yk, 0, height_in)) + if(is_valid_pixel(xi + xk * dilation_x, 0, width_in) && is_valid_pixel(yi + yk * dilation_y, 0, height_in)) { const int idx = xk + half_width_weights_start; const int idy = yk + half_height_weights_start; - const uint8_t i_value = in_ptr[offset_slice_in + xk + yk * width_in]; + const uint8_t i_value = in_ptr[offset_slice_in + xk * dilation_x + yk * dilation_y * width_in]; const uint8_t w_value = w_ptr[idx + idy * width_weights + ifm * width_weights * height_weights]; acc += (i_value + input_offset) * (w_value + weights_offset); |