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diff --git a/src/core/CL/cl_kernels/convolution_rectangle.cl b/src/core/CL/cl_kernels/convolution_rectangle.cl
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+/*
+ * 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 "convolution3x3.cl"
+#include "convolution5x5.cl"
+#include "convolution7x7.cl"
+#include "convolution9x9.cl"
+#include "helpers.h"
+
+#define MAT_INDEX(i) MAT##i
+
+#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
+
+#ifndef DYNAMIC_MATRIX_CONVOLUTION
+
+/** Apply a rectangle matrix to a single channel U8 input image and output a single channel image including borders
+ *
+ * @attention The matrix coefficients(MAT0, MAT1, ... MAT80, SCALE), MATRIX_WIDTH, MATRIX_HEIGHT, COMPUTE_TYPE, DATA_TYPE, DATA_TYPE_OUT need to be passed at compile time:\n
+ * e.g. -DMAT0=0 -DMAT1=1, ... -DMAT80=80, -DSCALE=6, -DMATRIX_WIDTH=3, -DMATRIX_HEIGHT=5, -DCOMPUTE_TYPE=int, -DDATA_TYPE=int, -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 convolution_rectangle(
+ IMAGE_DECLARATION(src),
+ IMAGE_DECLARATION(dst))
+{
+ Image src = CONVERT_TO_IMAGE_STRUCT(src);
+ Image dst = CONVERT_TO_IMAGE_STRUCT(dst);
+
+ short matrix_coeff[81] =
+ {
+ 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
+ };
+
+ VEC_DATA_TYPE(DATA_TYPE, 8)
+ pixels = (VEC_DATA_TYPE(DATA_TYPE, 8))0;
+
+ for(int i = 0; i < MATRIX_HEIGHT; i++)
+ {
+#if MATRIX_WIDTH == 3
+ pixels += convolution1x3(offset(&src, -1, -(MATRIX_HEIGHT / 2) + i), matrix_coeff[0 + i * 3], matrix_coeff[1 + i * 3],
+ matrix_coeff[2 + i * 3]);
+#endif
+
+#if MATRIX_WIDTH == 5
+ pixels += convolution1x5(offset(&src, -2, -(MATRIX_HEIGHT / 2) + i), matrix_coeff[0 + i * 5], matrix_coeff[1 + i * 5],
+ matrix_coeff[2 + i * 5], matrix_coeff[3 + i * 5], matrix_coeff[4 + i * 5]);
+#endif
+
+#if MATRIX_WIDTH == 7
+ pixels += convolution1x7(offset(&src, -3, -(MATRIX_HEIGHT / 2) + i), matrix_coeff[0 + i * 7], matrix_coeff[1 + i * 7],
+ matrix_coeff[2 + i * 7], matrix_coeff[3 + i * 7], matrix_coeff[4 + i * 7],
+ matrix_coeff[5 + i * 7], matrix_coeff[6 + i * 7]);
+#endif
+
+#if MATRIX_WIDTH == 9
+ pixels += convolution1x9(offset(&src, -4, -(MATRIX_HEIGHT / 2) + i), matrix_coeff[0 + i * 9], matrix_coeff[1 + i * 9],
+ matrix_coeff[2 + i * 9], matrix_coeff[3 + i * 9], matrix_coeff[4 + i * 9],
+ matrix_coeff[5 + i * 9], matrix_coeff[6 + i * 9], matrix_coeff[7 + i * 9], matrix_coeff[8 + i * 9]);
+#endif
+ }
+
+ pixels /= (VEC_DATA_TYPE(DATA_TYPE, 8))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