| /* |
| * 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 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] 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] 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 |