Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2017-2018 Arm Limited. |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "helpers.h" |
| 25 | |
Michele Di Giorgio | 6c92834 | 2017-06-22 16:55:57 +0100 | [diff] [blame] | 26 | #define MUL_OP(x, y) ((x) * (y)) |
| 27 | #define ADD_OP(x, y) ((x) + (y)) |
| 28 | #define DIV_OP(x, y) ((x) / (y)) |
| 29 | #define POW_OP(x, y) pow((x), (y)) |
| 30 | #define SQCVT_SAT(a) (a) |
| 31 | |
| 32 | #define LOAD_OP(offset, ptr) vload4(offset, ptr) |
| 33 | #define STORE_OP(data, offset, ptr) vstore4(data, offset, ptr) |
| 34 | |
Michele Di Giorgio | 9d3a831 | 2018-11-20 12:31:24 +0000 | [diff] [blame] | 35 | #if defined(NUM_SLICES) |
Georgios Pinitas | 0162436 | 2017-11-30 10:53:31 +0000 | [diff] [blame] | 36 | /** Apply cross-map normalization. |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 37 | * |
| 38 | * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short |
Michele Di Giorgio | 6c92834 | 2017-06-22 16:55:57 +0100 | [diff] [blame] | 39 | * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size, e.g. -DVEC_SIZE=16 |
Gian Marco Iodice | d60a6b9 | 2017-08-10 10:43:40 +0100 | [diff] [blame] | 40 | * @note The radius should be given as a preprocessor argument using -DRADIUS=size. e.g. -DRADIUS=5 |
| 41 | * @note The number of slices should be given as a preprocessor argument using -DNUM_SLICES=size. e.g. -DNUM_SLICES=192 |
Michele Di Giorgio | 6c92834 | 2017-06-22 16:55:57 +0100 | [diff] [blame] | 42 | * @note Scaling coefficient (= alpha/norm_size), beta and kappa need to be passed at compile time using -DCOEFF, -DALPHA and -DKAPPA |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 43 | * |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 44 | * @param[in] input_ptr Pointer to the first source tensor. Supported data types: F16/F32 |
Gian Marco Iodice | d60a6b9 | 2017-08-10 10:43:40 +0100 | [diff] [blame] | 45 | * @param[in] input_stride_x Stride of the first source tensor in X dimension (in bytes) |
| 46 | * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| 47 | * @param[in] input_stride_y Stride of the first source tensor in Y dimension (in bytes) |
| 48 | * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| 49 | * @param[in] input_stride_z Stride of the first source tensor in Z dimension (in bytes) |
| 50 | * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| 51 | * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor |
| 52 | * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr |
| 53 | * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 54 | * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| 55 | * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 56 | * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| 57 | * @param[in] output_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 58 | * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| 59 | * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 60 | */ |
| 61 | __kernel void normalization_layer_cross_map(TENSOR3D_DECLARATION(input), |
Gian Marco Iodice | d60a6b9 | 2017-08-10 10:43:40 +0100 | [diff] [blame] | 62 | TENSOR3D_DECLARATION(output)) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 63 | { |
Gian Marco Iodice | d60a6b9 | 2017-08-10 10:43:40 +0100 | [diff] [blame] | 64 | Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); |
| 65 | Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 66 | |
Michele Di Giorgio | 6c92834 | 2017-06-22 16:55:57 +0100 | [diff] [blame] | 67 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 68 | acc = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))0; |
| 69 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 70 | coeff_v = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(COEFF); |
| 71 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 72 | beta_v = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(BETA); |
| 73 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 74 | kappa_v = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(KAPPA); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 75 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 76 | const int current_slice = get_global_id(2); |
Georgios Pinitas | 0162436 | 2017-11-30 10:53:31 +0000 | [diff] [blame] | 77 | const int left_slice = max(-(int)RADIUS, -current_slice); |
| 78 | const int right_slice = min((int)RADIUS, (int)NUM_SLICES - 1 - current_slice); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 79 | |
| 80 | for(int i = left_slice; i <= right_slice; i++) |
| 81 | { |
Gian Marco Iodice | d60a6b9 | 2017-08-10 10:43:40 +0100 | [diff] [blame] | 82 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
Georgios Pinitas | 624b778 | 2017-11-15 16:17:22 +0000 | [diff] [blame] | 83 | values = LOAD_OP(0, (__global DATA_TYPE *)tensor3D_offset(&in, 0, 0, i)); |
Gian Marco Iodice | d60a6b9 | 2017-08-10 10:43:40 +0100 | [diff] [blame] | 84 | acc = ADD_OP(acc, MUL_OP(values, values)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 85 | } |
| 86 | |
Michele Di Giorgio | 6c92834 | 2017-06-22 16:55:57 +0100 | [diff] [blame] | 87 | acc = ADD_OP(MUL_OP(acc, coeff_v), kappa_v); |
| 88 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 89 | normalized = POW_OP(acc, beta_v); |
| 90 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 91 | normalized_pixel = DIV_OP(LOAD_OP(0, (__global DATA_TYPE *)in.ptr), normalized); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 92 | |
Michele Di Giorgio | 6c92834 | 2017-06-22 16:55:57 +0100 | [diff] [blame] | 93 | STORE_OP(normalized_pixel, 0, (__global DATA_TYPE *)out.ptr); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 94 | } |
Michele Di Giorgio | 9d3a831 | 2018-11-20 12:31:24 +0000 | [diff] [blame] | 95 | #endif /* defined(NUM_SLICES) */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 96 | |
Georgios Pinitas | 7f32d01 | 2018-10-11 18:41:19 +0100 | [diff] [blame] | 97 | #if defined(WIDTH_SIZE) |
Michele Di Giorgio | 9d3a831 | 2018-11-20 12:31:24 +0000 | [diff] [blame] | 98 | /** Apply in-map normalization when tensors are in the NCHW data layout format. |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 99 | * |
| 100 | * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short |
Michele Di Giorgio | 6c92834 | 2017-06-22 16:55:57 +0100 | [diff] [blame] | 101 | * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size, e.g. -DVEC_SIZE=16 |
Gian Marco Iodice | d60a6b9 | 2017-08-10 10:43:40 +0100 | [diff] [blame] | 102 | * @note The radius should be given as a preprocessor argument using -DRADIUS=size. e.g. -DRADIUS=5 |
Michele Di Giorgio | 6c92834 | 2017-06-22 16:55:57 +0100 | [diff] [blame] | 103 | * @note Scaling coefficient (= alpha/norm_size), beta and kappa need to be passed at compile time using -DCOEFF, -DALPHA and -DKAPPA |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 104 | * |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 105 | * @param[in] input_ptr Pointer to the first source tensor. Supported data types: F16/F32 |
Gian Marco Iodice | d60a6b9 | 2017-08-10 10:43:40 +0100 | [diff] [blame] | 106 | * @param[in] input_stride_x Stride of the first source tensor in X dimension (in bytes) |
| 107 | * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| 108 | * @param[in] input_stride_y Stride of the first source tensor in Y dimension (in bytes) |
| 109 | * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| 110 | * @param[in] input_stride_z Stride of the first source tensor in Z dimension (in bytes) |
| 111 | * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| 112 | * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor |
| 113 | * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr |
| 114 | * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 115 | * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| 116 | * @param[in] output_stride_y Stride of the first destination tensor in Y dimension (in bytes) |
| 117 | * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| 118 | * @param[in] output_stride_z Stride of the first source tensor in Z dimension (in bytes) |
| 119 | * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| 120 | * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 121 | */ |
Michele Di Giorgio | 9d3a831 | 2018-11-20 12:31:24 +0000 | [diff] [blame] | 122 | __kernel void normalization_layer_in_map_nchw(TENSOR3D_DECLARATION(input), |
| 123 | TENSOR3D_DECLARATION(output)) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 124 | { |
Gian Marco Iodice | d60a6b9 | 2017-08-10 10:43:40 +0100 | [diff] [blame] | 125 | Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); |
| 126 | Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 127 | |
Michele Di Giorgio | 6c92834 | 2017-06-22 16:55:57 +0100 | [diff] [blame] | 128 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 129 | acc = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))0; |
| 130 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 131 | coeff_v = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(COEFF); |
| 132 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 133 | beta_v = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(BETA); |
| 134 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 135 | kappa_v = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(KAPPA); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 136 | |
Georgios Pinitas | 0162436 | 2017-11-30 10:53:31 +0000 | [diff] [blame] | 137 | const int current_col = get_global_id(0) << 2; |
| 138 | const int left_pos = max(-(int)RADIUS, -3 - current_col); |
Georgios Pinitas | 7f32d01 | 2018-10-11 18:41:19 +0100 | [diff] [blame] | 139 | const int right_pos = min((int)RADIUS, (int)WIDTH_SIZE - 1 - current_col); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 140 | |
Georgios Pinitas | 0162436 | 2017-11-30 10:53:31 +0000 | [diff] [blame] | 141 | #if defined(IN_MAP_2D) |
| 142 | const int current_row = get_global_id(1); |
| 143 | const int first_row = max(-(int)RADIUS, -current_row); |
| 144 | const int last_row = min((int)RADIUS, (int)get_global_size(1) - 1 - current_row); |
| 145 | #endif /* defined(IN_MAP_2D) */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 146 | |
Georgios Pinitas | 0162436 | 2017-11-30 10:53:31 +0000 | [diff] [blame] | 147 | #if defined(IN_MAP_2D) |
| 148 | for(int j = first_row; j <= last_row; ++j) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 149 | { |
Georgios Pinitas | 0162436 | 2017-11-30 10:53:31 +0000 | [diff] [blame] | 150 | #endif /* defined(IN_MAP_2D) */ |
| 151 | for(int i = left_pos; i <= right_pos; ++i) |
| 152 | { |
| 153 | #if defined(IN_MAP_2D) |
| 154 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 155 | values = LOAD_OP(0, (__global DATA_TYPE *)tensor3D_offset(&in, i, j, 0)); |
| 156 | #else /* defined(IN_MAP_2D) */ |
| 157 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 158 | values = LOAD_OP(0, (__global DATA_TYPE *)tensor3D_offset(&in, i, 0, 0)); |
| 159 | #endif /* defined(IN_MAP_2D) */ |
| 160 | acc = ADD_OP(acc, MUL_OP(values, values)); |
| 161 | } |
| 162 | #if defined(IN_MAP_2D) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 163 | } |
Georgios Pinitas | 0162436 | 2017-11-30 10:53:31 +0000 | [diff] [blame] | 164 | #endif /* defined(IN_MAP_2D) */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 165 | |
Michele Di Giorgio | 6c92834 | 2017-06-22 16:55:57 +0100 | [diff] [blame] | 166 | acc = ADD_OP(MUL_OP(acc, coeff_v), kappa_v); |
| 167 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 168 | normalized = POW_OP(acc, beta_v); |
| 169 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 170 | normalized_pixel = DIV_OP(LOAD_OP(0, (__global DATA_TYPE *)in.ptr), normalized); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 171 | |
Michele Di Giorgio | 6c92834 | 2017-06-22 16:55:57 +0100 | [diff] [blame] | 172 | STORE_OP(normalized_pixel, 0, (__global DATA_TYPE *)out.ptr); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 173 | } |
Georgios Pinitas | 7f32d01 | 2018-10-11 18:41:19 +0100 | [diff] [blame] | 174 | #endif // defined(WIDTH_SIZE) |
Michele Di Giorgio | 9d3a831 | 2018-11-20 12:31:24 +0000 | [diff] [blame] | 175 | |
| 176 | #if defined(NUM_SLICES) |
| 177 | /** Apply in-map normalization when tensors are in the NHWC data layout format. |
| 178 | * |
| 179 | * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short |
| 180 | * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size, e.g. -DVEC_SIZE=16 |
| 181 | * @note The radius should be given as a preprocessor argument using -DRADIUS=size. e.g. -DRADIUS=5 |
| 182 | * @note The number of slices should be given as a preprocessor argument using -DNUM_SLICES=size. e.g. -DNUM_SLICES=192 |
| 183 | * @note Scaling coefficient (= alpha/norm_size), beta and kappa need to be passed at compile time using -DCOEFF, -DALPHA and -DKAPPA |
| 184 | * |
| 185 | * @param[in] input_ptr Pointer to the first source tensor. Supported data types: F16/F32 |
| 186 | * @param[in] input_stride_x Stride of the first source tensor in X dimension (in bytes) |
| 187 | * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| 188 | * @param[in] input_stride_y Stride of the first source tensor in Y dimension (in bytes) |
| 189 | * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| 190 | * @param[in] input_stride_z Stride of the first source tensor in Z dimension (in bytes) |
| 191 | * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| 192 | * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor |
| 193 | * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr |
| 194 | * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 195 | * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| 196 | * @param[in] output_stride_y Stride of the first destination tensor in Y dimension (in bytes) |
| 197 | * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| 198 | * @param[in] output_stride_z Stride of the first source tensor in Z dimension (in bytes) |
| 199 | * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| 200 | * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 201 | */ |
| 202 | __kernel void normalization_layer_in_map_nhwc(TENSOR3D_DECLARATION(input), |
| 203 | TENSOR3D_DECLARATION(output)) |
| 204 | { |
| 205 | Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); |
| 206 | Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); |
| 207 | |
| 208 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 209 | acc = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))0; |
| 210 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 211 | coeff_v = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(COEFF); |
| 212 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 213 | beta_v = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(BETA); |
| 214 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 215 | kappa_v = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(KAPPA); |
| 216 | |
| 217 | const int current_cols = get_global_id(1); |
| 218 | const int first_col = max(-(int)RADIUS, -current_cols); |
| 219 | const int last_col = min((int)RADIUS, (int)get_global_size(1) - 1 - current_cols); |
| 220 | |
| 221 | #if defined(IN_MAP_2D) |
| 222 | const int current_rows = get_global_id(2); |
| 223 | const int first_row = max(-(int)RADIUS, -current_rows); |
| 224 | const int last_row = min((int)RADIUS, (int)NUM_SLICES - 1 - current_rows); |
| 225 | #endif /* defined(IN_MAP_2D) */ |
| 226 | |
| 227 | #if defined(IN_MAP_2D) |
| 228 | for(int j = first_row; j <= last_row; ++j) |
| 229 | { |
| 230 | #endif /* defined(IN_MAP_2D) */ |
| 231 | for(int i = first_col; i <= last_col; ++i) |
| 232 | { |
| 233 | #if defined(IN_MAP_2D) |
| 234 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 235 | values = LOAD_OP(0, (__global DATA_TYPE *)tensor3D_offset(&in, 0, i, j)); |
| 236 | #else /* defined(IN_MAP_2D) */ |
| 237 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 238 | values = LOAD_OP(0, (__global DATA_TYPE *)tensor3D_offset(&in, 0, i, 0)); |
| 239 | #endif /* defined(IN_MAP_2D) */ |
| 240 | acc = ADD_OP(acc, MUL_OP(values, values)); |
| 241 | } |
| 242 | #if defined(IN_MAP_2D) |
| 243 | } |
| 244 | #endif /* defined(IN_MAP_2D) */ |
| 245 | |
| 246 | acc = ADD_OP(MUL_OP(acc, coeff_v), kappa_v); |
| 247 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 248 | normalized = POW_OP(acc, beta_v); |
| 249 | const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 250 | normalized_pixel = DIV_OP(LOAD_OP(0, (__global DATA_TYPE *)in.ptr), normalized); |
| 251 | |
| 252 | STORE_OP(normalized_pixel, 0, (__global DATA_TYPE *)out.ptr); |
| 253 | } |
| 254 | #endif /* defined(NUM_SLICES) */ |