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Diffstat (limited to 'src/core/CL/cl_kernels/convolution9x9.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/convolution9x9.cl | 403 |
1 files changed, 0 insertions, 403 deletions
diff --git a/src/core/CL/cl_kernels/convolution9x9.cl b/src/core/CL/cl_kernels/convolution9x9.cl deleted file mode 100644 index 2a5f4a10c7..0000000000 --- a/src/core/CL/cl_kernels/convolution9x9.cl +++ /dev/null @@ -1,403 +0,0 @@ -/* - * Copyright (c) 2016-2019 ARM Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ -#include "helpers.h" - -#ifndef DATA_TYPE -#define DATA_TYPE short -#endif /* DATA_TYPE */ - -#ifndef COMPUTE_TYPE -#define COMPUTE_TYPE int -#endif /* COMPUTE_TYPE */ - -#ifndef DATA_TYPE_OUT -#define DATA_TYPE_OUT uchar -#endif /* DATA_TYPE_OUT */ - -/** Compute a 1D horizontal convolution of size 9 for 8 bytes assuming the input is made of 1 channel of 1 byte (i.e 8 pixels). - * - * @param[in] left_pixel Pointer to the left pixel - * @param[in] left1_coeff Weight of the most left pixel - * @param[in] left2_coeff Weight of the second left pixel - * @param[in] left3_coeff Weight of the third left pixel - * @param[in] left4_coeff Weight of the left pixel - * @param[in] middle_coeff Weight of the middle pixel - * @param[in] right1_coeff Weight of the right pixel - * @param[in] right2_coeff Weight of the second right pixel - * @param[in] right3_coeff Weight of the third right pixel - * @param[in] right4_coeff Weight of the most right pixel - * - * @return a short8 containing 8 convoluted values. - */ -VEC_DATA_TYPE(DATA_TYPE, 8) -convolution1x9( - __global const uchar *left_pixel, - const short left1_coeff, - const short left2_coeff, - const short left3_coeff, - const short left4_coeff, - const short middle_coeff, - const short right1_coeff, - const short right2_coeff, - const short right3_coeff, - const short right4_coeff) -{ - uchar16 temp = vload16(0, left_pixel); - - VEC_DATA_TYPE(DATA_TYPE, 8) - left1 = CONVERT(temp.s01234567, VEC_DATA_TYPE(DATA_TYPE, 8)); - VEC_DATA_TYPE(DATA_TYPE, 8) - left2 = CONVERT(temp.s12345678, VEC_DATA_TYPE(DATA_TYPE, 8)); - VEC_DATA_TYPE(DATA_TYPE, 8) - left3 = CONVERT(temp.s23456789, VEC_DATA_TYPE(DATA_TYPE, 8)); - VEC_DATA_TYPE(DATA_TYPE, 8) - left4 = CONVERT(temp.s3456789a, VEC_DATA_TYPE(DATA_TYPE, 8)); - VEC_DATA_TYPE(DATA_TYPE, 8) - middle = CONVERT(temp.s456789ab, VEC_DATA_TYPE(DATA_TYPE, 8)); - VEC_DATA_TYPE(DATA_TYPE, 8) - right1 = CONVERT(temp.s56789abc, VEC_DATA_TYPE(DATA_TYPE, 8)); - VEC_DATA_TYPE(DATA_TYPE, 8) - right2 = CONVERT(temp.s6789abcd, VEC_DATA_TYPE(DATA_TYPE, 8)); - VEC_DATA_TYPE(DATA_TYPE, 8) - right3 = CONVERT(temp.s789abcde, VEC_DATA_TYPE(DATA_TYPE, 8)); - VEC_DATA_TYPE(DATA_TYPE, 8) - right4 = CONVERT(temp.s89abcdef, VEC_DATA_TYPE(DATA_TYPE, 8)); - - return left1 * (VEC_DATA_TYPE(DATA_TYPE, 8))left1_coeff + left2 * (VEC_DATA_TYPE(DATA_TYPE, 8))left2_coeff + left3 * (VEC_DATA_TYPE(DATA_TYPE, 8))left3_coeff + left4 * (VEC_DATA_TYPE(DATA_TYPE, - 8))left4_coeff + middle * (VEC_DATA_TYPE(DATA_TYPE, 8))middle_coeff + right1 * (VEC_DATA_TYPE(DATA_TYPE, 8))right1_coeff + right2 * (VEC_DATA_TYPE(DATA_TYPE, - 8))right2_coeff + right3 * (VEC_DATA_TYPE(DATA_TYPE, 8))right3_coeff + right4 * (VEC_DATA_TYPE(DATA_TYPE, 8))right4_coeff; -} - -/** Compute a 1D vertical convolution of size 9 for 8 bytes assuming the input is made of 1 channel of 1 byte (i.e 8 pixels). - * - * @param[in] src Pointer to source image. - * @param[in] up1_coeff Weight of the most up pixel - * @param[in] up2_coeff Weight of the second up pixel - * @param[in] up3_coeff Weight of the third up pixel - * @param[in] up4_coeff Weight of the up pixel - * @param[in] middle_coeff Weight of the middle pixel - * @param[in] down1_coeff Weight of the down pixel - * @param[in] down2_coeff Weight of the second down pixel - * @param[in] down3_coeff Weight of the third down pixel - * @param[in] down4_coeff Weight of the most down pixel - * - * @return a short8 containing 8 convoluted values. - */ -VEC_DATA_TYPE(COMPUTE_TYPE, 8) -convolution9x1( - Image *src, - const short up1_coeff, - const short up2_coeff, - const short up3_coeff, - const short up4_coeff, - const short middle_coeff, - const short down1_coeff, - const short down2_coeff, - const short down3_coeff, - const short down4_coeff) -{ - VEC_DATA_TYPE(COMPUTE_TYPE, 8) - val; - VEC_DATA_TYPE(COMPUTE_TYPE, 8) - out = (VEC_DATA_TYPE(COMPUTE_TYPE, 8))0; - - val = CONVERT(vload8(0, (__global DATA_TYPE *)offset(src, 0, -4)), VEC_DATA_TYPE(COMPUTE_TYPE, 8)); - out += val * (VEC_DATA_TYPE(COMPUTE_TYPE, 8))up1_coeff; - - val = CONVERT(vload8(0, (__global DATA_TYPE *)offset(src, 0, -3)), VEC_DATA_TYPE(COMPUTE_TYPE, 8)); - out += val * (VEC_DATA_TYPE(COMPUTE_TYPE, 8))up2_coeff; - - val = CONVERT(vload8(0, (__global DATA_TYPE *)offset(src, 0, -2)), VEC_DATA_TYPE(COMPUTE_TYPE, 8)); - out += val * (VEC_DATA_TYPE(COMPUTE_TYPE, 8))up3_coeff; - - val = CONVERT(vload8(0, (__global DATA_TYPE *)offset(src, 0, -1)), VEC_DATA_TYPE(COMPUTE_TYPE, 8)); - out += val * (VEC_DATA_TYPE(COMPUTE_TYPE, 8))up4_coeff; - - val = CONVERT(vload8(0, (__global DATA_TYPE *)offset(src, 0, 0)), VEC_DATA_TYPE(COMPUTE_TYPE, 8)); - out += val * (VEC_DATA_TYPE(COMPUTE_TYPE, 8))middle_coeff; - - val = CONVERT(vload8(0, (__global DATA_TYPE *)offset(src, 0, 1)), VEC_DATA_TYPE(COMPUTE_TYPE, 8)); - out += val * (VEC_DATA_TYPE(COMPUTE_TYPE, 8))down1_coeff; - - val = CONVERT(vload8(0, (__global DATA_TYPE *)offset(src, 0, 2)), VEC_DATA_TYPE(COMPUTE_TYPE, 8)); - out += val * (VEC_DATA_TYPE(COMPUTE_TYPE, 8))down2_coeff; - - val = CONVERT(vload8(0, (__global DATA_TYPE *)offset(src, 0, 3)), VEC_DATA_TYPE(COMPUTE_TYPE, 8)); - out += val * (VEC_DATA_TYPE(COMPUTE_TYPE, 8))down3_coeff; - - val = CONVERT(vload8(0, (__global DATA_TYPE *)offset(src, 0, 4)), VEC_DATA_TYPE(COMPUTE_TYPE, 8)); - out += val * (VEC_DATA_TYPE(COMPUTE_TYPE, 8))down4_coeff; - - return out; -} - -/** Apply a 9x9 convolution matrix to a single channel U8 input image and return the result. - * - * Convolution matrix layout:\n - * [ mat0, mat1, mat2, mat3 , mat4, mat5, mat6, mat7, mat8 ]\n - * [ mat9, mat10, mat11, mat12, mat13, mat14, mat15, mat16, mat17 ]\n - * [ mat18, mat19, mat20, mat21, mat22, mat23, mat24, mat25, mat26 ]\n - * [ mat27, mat28, mat29, mat30, mat31, mat32, mat33, mat34, mat35 ]\n - * [ mat36, mat37, mat38, mat39, mat40, mat41, mat42, mat43, mat44 ]\n - * [ mat45, mat46, mat47, mat48, mat49, mat50, mat51, mat52, mat53 ]\n - * [ mat54, mat55, mat56, mat57, mat58, mat59, mat60, mat61, mat62 ] - * [ mat63, mat64, mat65, mat66, mat67, mat68, mat69, mat70, mat71 ] - * [ mat72, mat73, mat74, mat75, mat76, mat77, mat78, mat79, mat80 ] - * - * @param[in] src A pointer to source Image structure. - * @param[in] mat0 Coefficient from the convolution matrix - * @param[in] mat1 Coefficient from the convolution matrix - * @param[in] mat2 Coefficient from the convolution matrix - * @param[in] mat3 Coefficient from the convolution matrix - * @param[in] mat4 Coefficient from the convolution matrix - * @param[in] mat5 Coefficient from the convolution matrix - * @param[in] mat6 Coefficient from the convolution matrix - * @param[in] mat7 Coefficient from the convolution matrix - * @param[in] mat8 Coefficient from the convolution matrix - * @param[in] mat9 Coefficient from the convolution matrix - * @param[in] mat10 Coefficient from the convolution matrix - * @param[in] mat11 Coefficient from the convolution matrix - * @param[in] mat12 Coefficient from the convolution matrix - * @param[in] mat13 Coefficient from the convolution matrix - * @param[in] mat14 Coefficient from the convolution matrix - * @param[in] mat15 Coefficient from the convolution matrix - * @param[in] mat16 Coefficient from the convolution matrix - * @param[in] mat17 Coefficient from the convolution matrix - * @param[in] mat18 Coefficient from the convolution matrix - * @param[in] mat19 Coefficient from the convolution matrix - * @param[in] mat20 Coefficient from the convolution matrix - * @param[in] mat21 Coefficient from the convolution matrix - * @param[in] mat22 Coefficient from the convolution matrix - * @param[in] mat23 Coefficient from the convolution matrix - * @param[in] mat24 Coefficient from the convolution matrix - * @param[in] mat25 Coefficient from the convolution matrix - * @param[in] mat26 Coefficient from the convolution matrix - * @param[in] mat27 Coefficient from the convolution matrix - * @param[in] mat28 Coefficient from the convolution matrix - * @param[in] mat29 Coefficient from the convolution matrix - * @param[in] mat30 Coefficient from the convolution matrix - * @param[in] mat31 Coefficient from the convolution matrix - * @param[in] mat32 Coefficient from the convolution matrix - * @param[in] mat33 Coefficient from the convolution matrix - * @param[in] mat34 Coefficient from the convolution matrix - * @param[in] mat35 Coefficient from the convolution matrix - * @param[in] mat36 Coefficient from the convolution matrix - * @param[in] mat37 Coefficient from the convolution matrix - * @param[in] mat38 Coefficient from the convolution matrix - * @param[in] mat39 Coefficient from the convolution matrix - * @param[in] mat40 Coefficient from the convolution matrix - * @param[in] mat41 Coefficient from the convolution matrix - * @param[in] mat42 Coefficient from the convolution matrix - * @param[in] mat43 Coefficient from the convolution matrix - * @param[in] mat44 Coefficient from the convolution matrix - * @param[in] mat45 Coefficient from the convolution matrix - * @param[in] mat46 Coefficient from the convolution matrix - * @param[in] mat47 Coefficient from the convolution matrix - * @param[in] mat48 Coefficient from the convolution matrix - * @param[in] mat49 Coefficient from the convolution matrix - * @param[in] mat50 Coefficient from the convolution matrix - * @param[in] mat51 Coefficient from the convolution matrix - * @param[in] mat52 Coefficient from the convolution matrix - * @param[in] mat53 Coefficient from the convolution matrix - * @param[in] mat54 Coefficient from the convolution matrix - * @param[in] mat55 Coefficient from the convolution matrix - * @param[in] mat56 Coefficient from the convolution matrix - * @param[in] mat57 Coefficient from the convolution matrix - * @param[in] mat58 Coefficient from the convolution matrix - * @param[in] mat59 Coefficient from the convolution matrix - * @param[in] mat60 Coefficient from the convolution matrix - * @param[in] mat61 Coefficient from the convolution matrix - * @param[in] mat62 Coefficient from the convolution matrix - * @param[in] mat63 Coefficient from the convolution matrix - * @param[in] mat64 Coefficient from the convolution matrix - * @param[in] mat65 Coefficient from the convolution matrix - * @param[in] mat66 Coefficient from the convolution matrix - * @param[in] mat67 Coefficient from the convolution matrix - * @param[in] mat68 Coefficient from the convolution matrix - * @param[in] mat69 Coefficient from the convolution matrix - * @param[in] mat70 Coefficient from the convolution matrix - * @param[in] mat71 Coefficient from the convolution matrix - * @param[in] mat72 Coefficient from the convolution matrix - * @param[in] mat73 Coefficient from the convolution matrix - * @param[in] mat74 Coefficient from the convolution matrix - * @param[in] mat75 Coefficient from the convolution matrix - * @param[in] mat76 Coefficient from the convolution matrix - * @param[in] mat77 Coefficient from the convolution matrix - * @param[in] mat78 Coefficient from the convolution matrix - * @param[in] mat79 Coefficient from the convolution matrix - * @param[in] mat80 Coefficient from the convolution matrix - * @param[in] scale Convolution matrix scale (Sum of the coefficients, or 1 if the sum is 0) - * - */ -short8 convolution9x9( - Image *src, - const short mat0, const short mat1, const short mat2, const short mat3, const short mat4, - const short mat5, const short mat6, const short mat7, const short mat8, const short mat9, - const short mat10, const short mat11, const short mat12, const short mat13, const short mat14, - const short mat15, const short mat16, const short mat17, const short mat18, const short mat19, - const short mat20, const short mat21, const short mat22, const short mat23, const short mat24, - const short mat25, const short mat26, const short mat27, const short mat28, const short mat29, - const short mat30, const short mat31, const short mat32, const short mat33, const short mat34, - const short mat35, const short mat36, const short mat37, const short mat38, const short mat39, - const short mat40, const short mat41, const short mat42, const short mat43, const short mat44, - const short mat45, const short mat46, const short mat47, const short mat48, const short mat49, - const short mat50, const short mat51, const short mat52, const short mat53, const short mat54, - const short mat55, const short mat56, const short mat57, const short mat58, const short mat59, - const short mat60, const short mat61, const short mat62, const short mat63, const short mat64, - const short mat65, const short mat66, const short mat67, const short mat68, const short mat69, - const short mat70, const short mat71, const short mat72, const short mat73, const short mat74, - const short mat75, const short mat76, const short mat77, const short mat78, const short mat79, - const short mat80, uint scale) -{ - VEC_DATA_TYPE(DATA_TYPE, 8) - pixels; - - pixels = convolution1x9(offset(src, -4, -4), mat0, mat1, mat2, mat3, mat4, mat5, mat6, mat7, mat8); - pixels += convolution1x9(offset(src, -4, -3), mat9, mat10, mat11, mat12, mat13, mat14, mat15, mat16, mat17); - pixels += convolution1x9(offset(src, -4, -2), mat18, mat19, mat20, mat21, mat22, mat23, mat24, mat25, mat26); - pixels += convolution1x9(offset(src, -4, -1), mat27, mat28, mat29, mat30, mat31, mat32, mat33, mat34, mat35); - pixels += convolution1x9(offset(src, -4, 0), mat36, mat37, mat38, mat39, mat40, mat41, mat42, mat43, mat44); - pixels += convolution1x9(offset(src, -4, 1), mat45, mat46, mat47, mat48, mat49, mat50, mat51, mat52, mat53); - pixels += convolution1x9(offset(src, -4, 2), mat54, mat55, mat56, mat57, mat58, mat59, mat60, mat61, mat62); - pixels += convolution1x9(offset(src, -4, 3), mat63, mat64, mat65, mat66, mat67, mat68, mat69, mat70, mat71); - pixels += convolution1x9(offset(src, -4, 4), mat72, mat73, mat74, mat75, mat76, mat77, mat78, mat79, mat80); - - if(scale > 0) - { - pixels /= (VEC_DATA_TYPE(DATA_TYPE, 8))scale; - } - - return convert_short8_sat(pixels); -} - -#ifndef DYNAMIC_MATRIX_CONVOLUTION - -/** Apply a 1x9 static convolution matrix to a single channel U8 input image and output a single temporary channel image. - * - * @attention The matrix coefficients (MAT0, MAT1, MAT2, MAT3, MAT4, MAT5, MAT6, MAT7, MAT8) and DATA_TYPE need to be passed at compile time:\n - * e.g. -DMAT0=7 -DMAT1=8, ... -DMAT8=8, -DCOMPUTE_TYPE=int - * - * @param[in] src_ptr Pointer to the source image. Supported data types: U8 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[out] dst_ptr Pointer to the destination image. Supported data types: U16, S16, S32 - * @param[in] dst_stride_x Stride of the destination image in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination image in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination image - */ -__kernel void convolution_separable1x9_static( - IMAGE_DECLARATION(src), - IMAGE_DECLARATION(dst)) -{ - Image src = CONVERT_TO_IMAGE_STRUCT(src); - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - // Output pixels - VEC_DATA_TYPE(DATA_TYPE, 8) - pixels = convolution1x9(offset(&src, -4, 0), MAT0, MAT1, MAT2, MAT3, MAT4, MAT5, MAT6, MAT7, MAT8); - - // Store result in dst - vstore8(pixels, 0, (__global DATA_TYPE *)dst.ptr); -} - -/** Apply a 9x1 static convolution matrix to a single channel U8 input image and output a single channel image. - * - * @attention The matrix coefficients (MAT9, MAT10, ... MAT17, SCALE), COMPUTE_TYPE and DATA_TYPE_OUT need to be passed at compile time:\n - * e.g. -DMAT9=9 -DMAT10=10, ... -DMAT17=17, -DSCALE=6, -DCOMPUTE_TYPE=int, -DDATA_TYPE_OUT=int - * - * @param[in] src_ptr Pointer to the source image. Supported data types: U16, S16, S32 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[out] dst_ptr Pointer to the destination image. Supported data types: U8, S16 - * @param[in] dst_stride_x Stride of the destination image in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination image in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination image - */ -__kernel void convolution_separable9x1_static( - IMAGE_DECLARATION(src), - IMAGE_DECLARATION(dst)) -{ - Image src = CONVERT_TO_IMAGE_STRUCT(src); - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - // Output pixels - VEC_DATA_TYPE(COMPUTE_TYPE, 8) - pixels = convolution9x1(&src, MAT9, MAT10, MAT11, MAT12, MAT13, MAT14, MAT15, MAT16, MAT17); - - // Divide by the scale - pixels = pixels / (VEC_DATA_TYPE(COMPUTE_TYPE, 8))SCALE; - - // Store result in dst - vstore8(CONVERT_SAT(pixels, VEC_DATA_TYPE(DATA_TYPE_OUT, 8)), 0, (__global DATA_TYPE_OUT *)dst.ptr); -} - -/** Apply a static 9x9 convolution matrix to a single channel U8 input image and output a single channel image including borders - * - * @attention The matrix coefficients(MAT0, MAT1, ... MAT80, SCALE), DATA_TYPE_OUT need to be passed at compile time:\n - * e.g. -DMAT0=0 -DMAT1=1, ... -DMAT80=80, -DSCALE=6, -DDATA_TYPE_OUT=int - * - * @param[in] src_ptr Pointer to the source image. Supported data types: U8 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[out] dst_ptr Pointer to the destination image. Supported data types: U8, S16 - * @param[in] dst_stride_x Stride of the destination image in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination image in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination image - */ -__kernel void convolution9x9_static( - IMAGE_DECLARATION(src), - IMAGE_DECLARATION(dst)) -{ - Image src = CONVERT_TO_IMAGE_STRUCT(src); - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - short8 pixels = convolution9x9(&src, - MAT0, MAT1, MAT2, MAT3, MAT4, MAT5, MAT6, MAT7, MAT8, MAT9, MAT10, MAT11, MAT12, MAT13, - MAT14, MAT15, MAT16, MAT17, MAT18, MAT19, MAT20, MAT21, MAT22, MAT23, MAT24, MAT25, - MAT26, MAT27, MAT28, MAT29, MAT30, MAT31, MAT32, MAT33, MAT34, MAT35, MAT36, MAT37, - MAT38, MAT39, MAT40, MAT41, MAT42, MAT43, MAT44, MAT45, MAT46, MAT47, MAT48, MAT49, - MAT50, MAT51, MAT52, MAT53, MAT54, MAT55, MAT56, MAT57, MAT58, MAT59, MAT60, MAT61, - MAT62, MAT63, MAT64, MAT65, MAT66, MAT67, MAT68, MAT69, MAT70, MAT71, MAT72, MAT73, - MAT74, MAT75, MAT76, MAT77, MAT78, MAT79, MAT80, SCALE); - - // Store the result as is in dst - vstore8(CONVERT_SAT(pixels, VEC_DATA_TYPE(DATA_TYPE_OUT, 8)), 0, (__global DATA_TYPE_OUT *)dst.ptr); -} - -#endif // DYNAMIC_MATRIX_CONVOLUTION |