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Diffstat (limited to 'src/core/CL/cl_kernels/convolution5x5.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/convolution5x5.cl | 289 |
1 files changed, 289 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/convolution5x5.cl b/src/core/CL/cl_kernels/convolution5x5.cl new file mode 100644 index 0000000000..d1335c5558 --- /dev/null +++ b/src/core/CL/cl_kernels/convolution5x5.cl @@ -0,0 +1,289 @@ +/* + * Copyright (c) 2016, 2017 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 + +#ifndef COMPUTE_TYPE +#define COMPUTE_TYPE int +#endif + +#ifndef DATA_TYPE_OUT +#define DATA_TYPE_OUT uchar +#endif + +/** Compute a 1D horizontal convolution of size 5 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 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 most right pixel + * + * @return a short8 containing 8 convoluted values. + */ +VEC_DATA_TYPE(DATA_TYPE, 8) +convolution1x5( + __global const uchar *left_pixel, + const short left1_coeff, + const short left2_coeff, + const short middle_coeff, + const short right1_coeff, + const short right2_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) + middle = CONVERT(temp.s23456789, VEC_DATA_TYPE(DATA_TYPE, 8)); + VEC_DATA_TYPE(DATA_TYPE, 8) + right1 = CONVERT(temp.s3456789a, VEC_DATA_TYPE(DATA_TYPE, 8)); + VEC_DATA_TYPE(DATA_TYPE, 8) + right2 = CONVERT(temp.s456789ab, 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 + + 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; +} + +/** Compute a 1D vertical convolution of size 5 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 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 most down pixel + * + * @return a short8 containing 8 convoluted values. + */ +VEC_DATA_TYPE(COMPUTE_TYPE, 8) +convolution5x1( + Image *src, + const short up1_coeff, + const short up2_coeff, + const short middle_coeff, + const short down1_coeff, + const short down2_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, -2)), 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, -1)), 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, 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; + + return out; +} + +/** Apply a 5x5 convolution matrix to a single channel U8 input image and return the result. + * + * Convolution matrix layout:\n + * [ mat0, mat1, mat2, mat3 , mat4 ]\n + * [ mat5, mat6, mat7, mat8, mat9 ]\n + * [ mat10, mat11, mat12, mat13, mat14 ]\n + * [ mat15, mat16, mat17, mat18, mat19 ]\n + * [ mat20, mat21, mat22, mat23, mat24 ] + * + * @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] mat0 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] mat10 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] scale Convolution matrix scale (Sum of the coefficients, or 1 if the sum is 0) + * + * @return a short8 containing 8 convoluted and scaled values. + */ +short8 convolution5x5( + 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, + uint scale) +{ + VEC_DATA_TYPE(DATA_TYPE, 8) + pixels; + + pixels = convolution1x5(offset(src, -2, -2), mat0, mat1, mat2, mat3, mat4); + pixels += convolution1x5(offset(src, -2, -1), mat5, mat6, mat7, mat8, mat9); + pixels += convolution1x5(offset(src, -2, 0), mat10, mat11, mat12, mat13, mat14); + pixels += convolution1x5(offset(src, -2, 1), mat15, mat16, mat17, mat18, mat19); + pixels += convolution1x5(offset(src, -2, 2), mat20, mat21, mat22, mat23, mat24); + + if(scale > 0) + { + pixels /= (VEC_DATA_TYPE(DATA_TYPE, 8))scale; + } + + return convert_short8_sat(pixels); +} + +#ifndef DYNAMIC_MATRIX_CONVOLUTION + +/** Apply a 1x5 static convolution matrix to a single channel U8 input image and output a single temporary channel image(Support U16, S16, S32). + * + * @attention The matrix coefficients (MAT0, MAT1, MAT2, MAT3, MAT4) and DATA_TYPE need to be passed at compile time:\n + * e.g. -DMAT0=1 -DMAT2=2, -DMAT3=3, -DMAT4=4, -DDATA_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_separable1x5_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 = convolution1x5(offset(&src, -2, 0), MAT0, MAT1, MAT2, MAT3, MAT4); + + // Store result in dst + vstore8(pixels, 0, (__global DATA_TYPE *)dst.ptr); +} + +/** Apply a 5x1 static convolution matrix to a single channel U8 input image and output a single channel image. + * + * @attention The matrix coefficients (MAT5, MAT6, MAT7, MAT8, MAT9, SCALE), COMPUTE_TYPE and DATA_TYPE_OUT need to be passed at compile time:\n + * e.g. -DMAT5=1 -DMAT6=2, -DMAT7=3, -DMAT8=4, -DMAT9=5, -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_separable5x1_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 = convolution5x1(&src, MAT5, MAT6, MAT7, MAT8, MAT9); + + // Divide by the scale + 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 5x5 convolution matrix to a single channel U8 input image and output a single channel image including borders + * + * @attention The matrix coefficients(MAT0, MAT1, ... MAT24, SCALE), DATA_TYPE_OUT need to be passed at compile time:\n + * e.g. -DMAT0=1 -DMAT1=2, ... -DMAT24=24, -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 convolution5x5_static( + IMAGE_DECLARATION(src), + IMAGE_DECLARATION(dst)) +{ + Image src = CONVERT_TO_IMAGE_STRUCT(src); + Image dst = CONVERT_TO_IMAGE_STRUCT(dst); + + short8 pixels = convolution5x5(&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, 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 |