Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2018-2020 Arm Limited. |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [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 | |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 26 | #if defined(DATA_TYPE) && defined(ELEMENT_SIZE) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 27 | |
| 28 | #if ELEMENT_SIZE == 1 |
| 29 | #define COND_DATA_TYPE char |
| 30 | #elif ELEMENT_SIZE == 2 |
| 31 | #define COND_DATA_TYPE short |
| 32 | #elif ELEMENT_SIZE == 4 |
| 33 | #define COND_DATA_TYPE int |
| 34 | #else // ELEMENT_SIZE |
| 35 | #error "Element size not support" |
| 36 | #endif // ELEMENT_SIZE |
| 37 | |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 38 | #if defined(CONVOLVED_WIDTH) && defined(STRIDE_Y) && defined(SRC_DEPTH) |
| 39 | /** This opencl kernel performs im2col when the kernel size is 1x1, the stride_x = 1 and the data layout is NCHW |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 40 | * |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 41 | * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| 42 | * @note The width of output tensor after matrix multiplication must be passed at compile time using -DCONVOLVED_WIDTH: e.g. -DCONVOLVED_WIDTH=34 |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 43 | * @note The number of input channels must be passed at compile time using -DSRC_DEPTH: e.g. -DSRC_DEPTH=3 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 44 | * @note The stride along the Y direction must be passed at compile time using -DSTRIDE_Y: e.g. -DSTRIDE_Y=1 |
| 45 | * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 46 | * @note In case grouping is performed, the number of groups must be passed at compile time using -DNUM_GROUPS: e.g. -DNUM_GROUPS=4 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 47 | * |
Sheri Zhang | 0de45d0 | 2020-04-17 14:59:13 +0100 | [diff] [blame] | 48 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 49 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 50 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 51 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 52 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 53 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 54 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 55 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 56 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 57 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 58 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 59 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 60 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 61 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 62 | * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 63 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 64 | * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes). |
| 65 | * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes). |
| 66 | */ |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 67 | __kernel void im2col1x1_stridex1_nchw( |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 68 | TENSOR3D_DECLARATION(src), |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 69 | #if defined(NUM_GROUPS) |
| 70 | TENSOR3D_DECLARATION(dst), |
| 71 | #else // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 72 | IMAGE_DECLARATION(dst), |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 73 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 74 | uint src_stride_w, |
| 75 | uint dst_stride_w) |
| 76 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 77 | const uint xc = get_global_id(0) * 4; // x coordinate in the convolved tensor |
| 78 | const uint yc = get_global_id(1); // y coordinate in the convolved tensor |
| 79 | const uint ch = get_global_id(2) % SRC_DEPTH; // input feature map |
| 80 | const uint batch = get_global_id(2) / SRC_DEPTH; // batch size |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 81 | |
| 82 | // Clamp xc |
| 83 | // The strategy clamps at "xc" as it will be a valid value for sure |
| 84 | uint4 xc_clamped = xc + (uint4)(0, 1, 2, 3); |
| 85 | |
| 86 | // Check which values are valid |
| 87 | const VEC_DATA_TYPE(COND_DATA_TYPE, 4) cond0 = CONVERT((xc_clamped < SRC_WIDTH), VEC_DATA_TYPE(COND_DATA_TYPE, 4)); |
| 88 | |
| 89 | xc_clamped = select((uint4)xc, xc_clamped, convert_int4(cond0)); |
| 90 | |
| 91 | // Calculate input indices |
| 92 | const uint xi = xc; |
| 93 | const uint yi = yc * STRIDE_Y; |
| 94 | |
| 95 | // Calculate output indices |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 96 | |
| 97 | #if defined(NUM_GROUPS) |
| 98 | const uint xo = ch % (SRC_DEPTH / NUM_GROUPS); |
| 99 | const uint zo = ch / (SRC_DEPTH / NUM_GROUPS); |
| 100 | #else // defined(NUM_GROUPS) |
| 101 | const uint xo = ch; |
| 102 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 103 | const uint4 yo = xc_clamped + yc * CONVOLVED_WIDTH; // Index of the convolution |
| 104 | |
| 105 | // Get input and output address |
| 106 | __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + xi * src_stride_x + yi * src_stride_y + ch * src_stride_z + batch * src_stride_w; |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 107 | #if defined(NUM_GROUPS) |
| 108 | __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + xo * dst_stride_x + zo * dst_stride_z + batch * dst_stride_w; |
| 109 | #else // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 110 | __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + xo * dst_stride_x + batch * dst_stride_w; |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 111 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 112 | |
| 113 | VEC_DATA_TYPE(DATA_TYPE, 4) |
| 114 | data = vload4(0, (__global DATA_TYPE *)input_ptr); |
| 115 | |
| 116 | // If out-of-bound, overwrite with the first element |
| 117 | data = select((VEC_DATA_TYPE(DATA_TYPE, 4))data.s0, data, cond0); |
| 118 | |
| 119 | *(__global DATA_TYPE *)(output_ptr + yo.s0 * dst_stride_y) = data.s0; |
| 120 | *(__global DATA_TYPE *)(output_ptr + yo.s1 * dst_stride_y) = data.s1; |
| 121 | *(__global DATA_TYPE *)(output_ptr + yo.s2 * dst_stride_y) = data.s2; |
| 122 | *(__global DATA_TYPE *)(output_ptr + yo.s3 * dst_stride_y) = data.s3; |
| 123 | |
| 124 | #ifdef HAS_BIAS |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 125 | #if defined(NUM_GROUPS) |
| 126 | if(xo == (SRC_DEPTH / NUM_GROUPS - 1)) |
| 127 | #else // defined(NUM_GROUPS) |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 128 | if(ch == (SRC_DEPTH - 1)) |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 129 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 130 | { |
| 131 | *((__global DATA_TYPE *)(output_ptr + yo.s0 * dst_stride_y) + 1) = 1.0f; |
| 132 | *((__global DATA_TYPE *)(output_ptr + yo.s1 * dst_stride_y) + 1) = 1.0f; |
| 133 | *((__global DATA_TYPE *)(output_ptr + yo.s2 * dst_stride_y) + 1) = 1.0f; |
| 134 | *((__global DATA_TYPE *)(output_ptr + yo.s3 * dst_stride_y) + 1) = 1.0f; |
| 135 | } |
| 136 | #endif // HAS_BIAS |
| 137 | } |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 138 | #endif // defined(CONVOLVED_WIDTH) && defined(STRIDE_Y) && defined(SRC_DEPTH) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 139 | |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 140 | #if defined(CONVOLVED_WIDTH) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(STRIDE_X) && defined(STRIDE_Y) && defined(SRC_DEPTH) && defined(PAD_LEFT) && defined(PAD_RIGHT) && defined(PAD_TOP) && defined(PAD_BOTTOM) && defined(PAD_VALUE) |
| 141 | #if defined(DILATION_X) && defined(DILATION_Y) |
| 142 | /** This opencl kernel performs a generic im2col implementation when the data layout is NCHW |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 143 | * |
| 144 | * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| 145 | * @note The width and height of the input tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT: e.g. -DSRC_WIDTH=128 and -DSRC_HEIGHT=128 |
| 146 | * @note The width of output tensor after matrix multiplication must be passed at compile time using -DCONVOLVED_WIDTH: e.g. -DCONVOLVED_WIDTH=34 |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 147 | * @note The kernel width, height and depth must be passed at compile time using -DKERNEL_WIDTH, -DKERNEL_HEIGHT and -DSRC_DEPTH: e.g. -DKERNEL_WIDTH=3, -DKERNEL_HEIGHT=3 and -DSRC_DEPTH=64 |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 148 | * @note The pad_left, pad_right, pad_top and pad_bottom must be passed at compile time using -DPAD_LEFT, -DPAD_RIGHT, -DPAD_TOP and -DPAD_BOTTOM: e.g. -DPAD_LEFT=1, -DPAD_RIGHT=2, -DPAD_TOP=3 and -DPAD_BOTTOM=2 |
| 149 | * @note The zero value to store in case we load values out-of-bounds must be passed at compile time using -DPAD_VALUE: e.g. -DPAD_VALUE=0.0 |
| 150 | * @note The stride along the X and Y directions must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y: e.g. -DSTRIDE_X=1 and -DSTRIDE_Y=1 |
Georgios Pinitas | 19ea419 | 2018-06-19 13:09:53 +0100 | [diff] [blame] | 151 | * @note The dilation_x and dilation_y must be passed at compile time using -DDILATION_X and -DDILATION_Y: e.g. -DDILATION_X=1, -DDILATION_Y=1 |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 152 | * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 153 | * @note In case grouping is performed, the number of groups must be passed at compile time using -DNUM_GROUPS: e.g. -DNUM_GROUPS=4 |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 154 | * |
Sheri Zhang | 0de45d0 | 2020-04-17 14:59:13 +0100 | [diff] [blame] | 155 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32 |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 156 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 157 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 158 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 159 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 160 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 161 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 162 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 163 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 164 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 165 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 166 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 167 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 168 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 169 | * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 170 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 171 | * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes). |
| 172 | * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes). |
| 173 | */ |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 174 | __kernel void im2col_generic_nchw( |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 175 | TENSOR3D_DECLARATION(src), |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 176 | #if defined(NUM_GROUPS) |
| 177 | TENSOR3D_DECLARATION(dst), |
| 178 | #else // defined(NUM_GROUPS) |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 179 | IMAGE_DECLARATION(dst), |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 180 | #endif // defined(NUM_GROUPS) |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 181 | uint src_stride_w, |
| 182 | uint dst_stride_w) |
| 183 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 184 | const int xc = get_global_id(0); // x coordinate in the convolved tensor |
| 185 | const int yc = get_global_id(1); // y coordinate in the convolved tensor |
| 186 | const int ch = get_global_id(2) % SRC_DEPTH; // input feature map |
| 187 | const int batch = get_global_id(2) / SRC_DEPTH; // batch size |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 188 | |
| 189 | // Calculate input indices |
| 190 | const int xi = xc * STRIDE_X - PAD_LEFT; |
| 191 | const int yi = yc * STRIDE_Y - PAD_TOP; |
| 192 | |
| 193 | // Calculate output indices |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 194 | #if defined(NUM_GROUPS) |
| 195 | const int xo = (ch % (SRC_DEPTH / NUM_GROUPS)) * KERNEL_WIDTH * KERNEL_HEIGHT; |
| 196 | const int zo = ch / (SRC_DEPTH / NUM_GROUPS); |
| 197 | #else // defined(NUM_GROUPS) |
| 198 | const int xo = ch * KERNEL_WIDTH * KERNEL_HEIGHT; |
| 199 | #endif // defined(NUM_GROUPS) |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 200 | const int yo = xc + yc * CONVOLVED_WIDTH; // Index of the convolution |
| 201 | |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 202 | __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + ch * src_stride_z + batch * src_stride_w; |
| 203 | #if defined(NUM_GROUPS) |
| 204 | __global DATA_TYPE *output_ptr = ((__global DATA_TYPE *)(dst_ptr + dst_offset_first_element_in_bytes + yo * dst_stride_y + zo * dst_stride_z + batch * dst_stride_w)) + xo; |
| 205 | #else // defined(NUM_GROUPS) |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 206 | __global DATA_TYPE *output_ptr = ((__global DATA_TYPE *)(dst_ptr + dst_offset_first_element_in_bytes + yo * dst_stride_y + batch * dst_stride_w)) + xo; |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 207 | #endif // defined(NUM_GROUPS) |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 208 | |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 209 | // Linearize convolution elements |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 210 | for(int yk = 0; yk < KERNEL_HEIGHT; ++yk) |
| 211 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 212 | int y = yi + yk * DILATION_Y; |
| 213 | for(int xk = 0; xk < KERNEL_WIDTH; ++xk, ++output_ptr) |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 214 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 215 | int x = xi + xk * DILATION_X; |
| 216 | #if PAD_LEFT == 0 && PAD_TOP == 0 && PAD_RIGHT == 0 && PAD_BOTTOM == 0 |
| 217 | *output_ptr = *((__global DATA_TYPE *)(input_ptr + x * src_stride_x + y * src_stride_y)); |
| 218 | #else // PAD_LEFT == 0 && PAD_TOP == 0 && PAD_RIGHT == 0 && PAD_BOTTOM == 0 |
| 219 | if(x < 0 || x >= SRC_WIDTH || y < 0 || y >= SRC_HEIGHT) |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 220 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 221 | *output_ptr = PAD_VALUE; |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 222 | } |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 223 | else |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 224 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 225 | *output_ptr = *((__global DATA_TYPE *)(input_ptr + x * src_stride_x + y * src_stride_y)); |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 226 | } |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 227 | #endif // PAD_LEFT == 0 && PAD_TOP == 0 && PAD_RIGHT == 0 && PAD_BOTTOM == 0 |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 228 | } |
| 229 | } |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 230 | |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 231 | #ifdef HAS_BIAS |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 232 | #if defined(NUM_GROUPS) |
| 233 | if((xo / (KERNEL_WIDTH * KERNEL_HEIGHT)) == (SRC_DEPTH / NUM_GROUPS - 1)) |
| 234 | #else // defined(NUM_GROUPS) |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 235 | if(ch == (SRC_DEPTH - 1)) |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 236 | #endif // defined(NUM_GROUPS) |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 237 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 238 | *output_ptr = 1.0f; |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 239 | } |
| 240 | #endif // HAS_BIAS |
| 241 | } |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 242 | #endif // defined(DILATION_X) && defined(DILATION_Y) |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 243 | |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 244 | /** This opencl kernel performs im2col when the kernel size is 3x3 and the data layout is NCHW |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 245 | * |
| 246 | * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| 247 | * @note The width and height of the input tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT: e.g. -DSRC_WIDTH=128 and -DSRC_HEIGHT=128 |
| 248 | * @note The width of output tensor after matrix multiplication must be passed at compile time using -DCONVOLVED_WIDTH: e.g. -DCONVOLVED_WIDTH=34 |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 249 | * @note The number of input channels must be passed at compile time using -DSRC_DEPTH: e.g. -DSRC_DEPTH=3 |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 250 | * @note The pad_left, pad_right, pad_top and pad_bottom must be passed at compile time using -DPAD_LEFT, -DPAD_RIGHT, -DPAD_TOP and -DPAD_BOTTOM: e.g. -DPAD_LEFT=1, -DPAD_RIGHT=2, -DPAD_TOP=3 and -DPAD_BOTTOM=2 |
| 251 | * @note The zero value to store in case we load values out-of-bounds must be passed at compile time using -DPAD_VALUE: e.g. -DPAD_VALUE=0.0 |
| 252 | * @note The stride along the X and Y directions must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y: e.g. -DSTRIDE_X=1 and -DSTRIDE_Y=1 |
| 253 | * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. |
| 254 | * |
Sheri Zhang | 0de45d0 | 2020-04-17 14:59:13 +0100 | [diff] [blame] | 255 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32 |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 256 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 257 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 258 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 259 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 260 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 261 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 262 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 263 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 264 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 265 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 266 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 267 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 268 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 269 | * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 270 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 271 | * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes). |
| 272 | * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes). |
| 273 | */ |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 274 | __kernel void im2col3x3_nchw( |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 275 | TENSOR3D_DECLARATION(src), |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 276 | #if defined(NUM_GROUPS) |
| 277 | TENSOR3D_DECLARATION(dst), |
| 278 | #else // defined(NUM_GROUPS) |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 279 | IMAGE_DECLARATION(dst), |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 280 | #endif // defined(NUM_GROUPS) |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 281 | uint src_stride_w, |
| 282 | uint dst_stride_w) |
| 283 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 284 | const int xc = get_global_id(0); // x coordinate in the convolved tensor |
| 285 | const int yc = get_global_id(1); // y coordinate in the convolved tensor |
| 286 | const int ch = get_global_id(2) % SRC_DEPTH; // input feature map |
| 287 | const int batch = get_global_id(2) / SRC_DEPTH; // batch size |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 288 | |
| 289 | // Calculate input indices |
| 290 | const int xi = xc * STRIDE_X - PAD_LEFT; |
| 291 | const int yi = yc * STRIDE_Y - PAD_TOP; |
| 292 | |
| 293 | // Calculate output indices |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 294 | #if defined(NUM_GROUPS) |
| 295 | const int xo = (ch % (SRC_DEPTH / NUM_GROUPS)) * 9; // 3x3 |
| 296 | const int zo = ch / (SRC_DEPTH / NUM_GROUPS); |
| 297 | #else // defined(NUM_GROUPS) |
| 298 | const int xo = ch * 9; // 3x3 |
| 299 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 300 | const int yo = xc + yc * CONVOLVED_WIDTH; // Index of the convolution |
| 301 | |
| 302 | // Get input and output address |
| 303 | __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + xi * (int)src_stride_x + yi * (int)src_stride_y + ch * src_stride_z + batch * src_stride_w; |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 304 | #if defined(NUM_GROUPS) |
| 305 | __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + xo * dst_stride_x + yo * dst_stride_y + zo * dst_stride_z + batch * dst_stride_w; |
| 306 | #else // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 307 | __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + xo * dst_stride_x + yo * dst_stride_y + batch * dst_stride_w; |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 308 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 309 | |
| 310 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 311 | row0 = vload3(0, (__global DATA_TYPE *)(input_ptr + 0 * src_stride_y)); |
| 312 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 313 | row1 = vload3(0, (__global DATA_TYPE *)(input_ptr + 1 * src_stride_y)); |
| 314 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 315 | row2 = vload3(0, (__global DATA_TYPE *)(input_ptr + 2 * src_stride_y)); |
| 316 | |
| 317 | #if PAD_LEFT != 0 || PAD_TOP != 0 || PAD_RIGHT != 0 || PAD_BOTTOM != 0 |
| 318 | // Put 0 if the value is out-of-bound |
| 319 | int3 x = (int3)xi + (int3)(0, 1, 2); |
| 320 | int3 y = (int3)yi + (int3)(0, 1, 2); |
| 321 | |
| 322 | VEC_DATA_TYPE(COND_DATA_TYPE, 3) |
| 323 | cond0 = CONVERT((x >= (int3)0 && x < (int3)SRC_WIDTH && (int3)(y.s0 >= 0 && y.s0 < SRC_HEIGHT)), VEC_DATA_TYPE(COND_DATA_TYPE, 3)); |
| 324 | VEC_DATA_TYPE(COND_DATA_TYPE, 3) |
| 325 | cond1 = CONVERT((x >= (int3)0 && x < (int3)SRC_WIDTH && (int3)(y.s1 >= 0 && y.s1 < SRC_HEIGHT)), VEC_DATA_TYPE(COND_DATA_TYPE, 3)); |
| 326 | VEC_DATA_TYPE(COND_DATA_TYPE, 3) |
| 327 | cond2 = CONVERT((x >= (int3)0 && x < (int3)SRC_WIDTH && (int3)(y.s2 >= 0 && y.s2 < SRC_HEIGHT)), VEC_DATA_TYPE(COND_DATA_TYPE, 3)); |
| 328 | |
| 329 | row0 = select((VEC_DATA_TYPE(DATA_TYPE, 3))PAD_VALUE, row0, cond0); |
| 330 | row1 = select((VEC_DATA_TYPE(DATA_TYPE, 3))PAD_VALUE, row1, cond1); |
| 331 | row2 = select((VEC_DATA_TYPE(DATA_TYPE, 3))PAD_VALUE, row2, cond2); |
| 332 | #endif // PAD_LEFT != 0 || PAD_TOP != 0 || PAD_RIGHT != 0 || PAD_BOTTOM != 0 |
| 333 | |
| 334 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row0.s012, row1.s012, row2.s01), 0, (__global DATA_TYPE *)output_ptr); |
| 335 | *((__global DATA_TYPE *)output_ptr + 8) = row2.s2; |
| 336 | |
| 337 | #ifdef HAS_BIAS |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 338 | #if defined(NUM_GROUPS) |
| 339 | if((xo / 9) == (SRC_DEPTH / NUM_GROUPS - 1)) |
| 340 | #else // defined(NUM_GROUPS) |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 341 | if(ch == (SRC_DEPTH - 1)) |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 342 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 343 | { |
| 344 | *((__global DATA_TYPE *)output_ptr + 9) = 1.0f; |
| 345 | } |
| 346 | #endif // HAS_BIAS |
| 347 | } |
| 348 | |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 349 | /** This opencl kernel performs im2col when the kernel size is 5x5 and the data layout is NCHW |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 350 | * |
| 351 | * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| 352 | * @note The width and height of the input tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT: e.g. -DSRC_WIDTH=128 and -DSRC_HEIGHT=128 |
| 353 | * @note The width of output tensor after matrix multiplication must be passed at compile time using -DCONVOLVED_WIDTH: e.g. -DCONVOLVED_WIDTH=34 |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 354 | * @note The number of input channels must be passed at compile time using -DSRC_DEPTH: e.g. -DSRC_DEPTH=3 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 355 | * @note The pad_left, pad_right, pad_top and pad_bottom must be passed at compile time using -DPAD_LEFT, -DPAD_RIGHT, -DPAD_TOP and -DPAD_BOTTOM: e.g. -DPAD_LEFT=1, -DPAD_RIGHT=2, -DPAD_TOP=3 and -DPAD_BOTTOM=2 |
| 356 | * @note The zero value to store in case we load values out-of-bounds must be passed at compile time using -DPAD_VALUE: e.g. -DPAD_VALUE=0.0 |
| 357 | * @note The stride along the X and Y directions must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y: e.g. -DSTRIDE_X=1 and -DSTRIDE_Y=1 |
| 358 | * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 359 | * @note In case grouping is performed, the number of groups must be passed at compile time using -DNUM_GROUPS: e.g. -DNUM_GROUPS=4 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 360 | * |
Sheri Zhang | 0de45d0 | 2020-04-17 14:59:13 +0100 | [diff] [blame] | 361 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 362 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 363 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 364 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 365 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 366 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 367 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 368 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 369 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 370 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 371 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 372 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 373 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 374 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 375 | * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 376 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 377 | * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes). |
| 378 | * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes). |
| 379 | */ |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 380 | __kernel void im2col5x5_nchw( |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 381 | TENSOR3D_DECLARATION(src), |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 382 | #if defined(NUM_GROUPS) |
| 383 | TENSOR3D_DECLARATION(dst), |
| 384 | #else // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 385 | IMAGE_DECLARATION(dst), |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 386 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 387 | uint src_stride_w, |
| 388 | uint dst_stride_w) |
| 389 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 390 | const int xc = get_global_id(0); // x coordinate in the convolved tensor |
| 391 | const int yc = get_global_id(1); // y coordinate in the convolved tensor |
| 392 | const int ch = get_global_id(2) % SRC_DEPTH; // input feature map |
| 393 | const int batch = get_global_id(2) / SRC_DEPTH; // batch size |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 394 | |
| 395 | // Calculate input indices |
| 396 | const int xi = xc * STRIDE_X - PAD_LEFT; |
| 397 | const int yi = yc * STRIDE_Y - PAD_TOP; |
| 398 | |
| 399 | // Calculate output indices |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 400 | #if defined(NUM_GROUPS) |
| 401 | const int xo = (ch % (SRC_DEPTH / NUM_GROUPS)) * 25; // 5x5 |
| 402 | const int zo = ch / (SRC_DEPTH / NUM_GROUPS); |
| 403 | #else // defined(NUM_GROUPS) |
| 404 | const int xo = ch * 25; // 5x5 |
| 405 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 406 | const int yo = xc + yc * CONVOLVED_WIDTH; // Index of the convolution |
| 407 | |
| 408 | #if PAD_LEFT != 0 || PAD_TOP != 0 || PAD_RIGHT != 0 || PAD_BOTTOM != 0 |
| 409 | // Put 0 if the value is out-of-bound |
| 410 | int4 x0 = (int4)xi + (int4)(0, 1, 2, 3); |
| 411 | int4 y0 = (int4)yi + (int4)(0, 1, 2, 3); |
| 412 | int x1 = xi + 4; |
| 413 | int y1 = yi + 4; |
| 414 | |
| 415 | // Check if we could have out-of-bounds elements in the x direction |
| 416 | VEC_DATA_TYPE(COND_DATA_TYPE, 4) |
| 417 | x0_condition = CONVERT((x0 >= (int4)0 && x0 < (int4)SRC_WIDTH), VEC_DATA_TYPE(COND_DATA_TYPE, 4)); |
| 418 | VEC_DATA_TYPE(COND_DATA_TYPE, 4) |
| 419 | y0_condition = CONVERT((y0 >= (int4)0 && y0 < (int4)SRC_HEIGHT), VEC_DATA_TYPE(COND_DATA_TYPE, 4)); |
| 420 | COND_DATA_TYPE x1_condition = (COND_DATA_TYPE)(x1 >= 0 && x1 < SRC_WIDTH); |
| 421 | COND_DATA_TYPE y1_condition = (COND_DATA_TYPE)(y1 >= 0 && y1 < SRC_HEIGHT); |
| 422 | #endif // PAD_LEFT != 0 || PAD_TOP != 0 || PAD_RIGHT != 0 || PAD_BOTTOM != 0 |
| 423 | |
| 424 | // Get input and output address |
| 425 | __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + xi * (int)src_stride_x + yi * (int)src_stride_y + ch * src_stride_z + batch * src_stride_w; |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 426 | #if defined(NUM_GROUPS) |
| 427 | __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + xo * dst_stride_x + yo * dst_stride_y + zo * dst_stride_z + batch * dst_stride_w; |
| 428 | #else // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 429 | __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + xo * dst_stride_x + yo * dst_stride_y + batch * dst_stride_w; |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 430 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 431 | |
| 432 | { |
| 433 | VEC_DATA_TYPE(DATA_TYPE, 4) |
| 434 | row00 = vload4(0, (__global DATA_TYPE *)input_ptr); |
| 435 | DATA_TYPE |
| 436 | row01 = *((__global DATA_TYPE *)input_ptr + 4); |
| 437 | |
| 438 | input_ptr += src_stride_y; |
| 439 | |
| 440 | VEC_DATA_TYPE(DATA_TYPE, 4) |
| 441 | row10 = vload4(0, (__global DATA_TYPE *)input_ptr); |
| 442 | DATA_TYPE |
| 443 | row11 = *((__global DATA_TYPE *)input_ptr + 4); |
| 444 | |
| 445 | #if PAD_LEFT != 0 || PAD_TOP != 0 || PAD_RIGHT != 0 || PAD_BOTTOM != 0 |
| 446 | VEC_DATA_TYPE(COND_DATA_TYPE, 4) |
| 447 | cond00 = x0_condition && (VEC_DATA_TYPE(COND_DATA_TYPE, 4))y0_condition.s0; |
| 448 | VEC_DATA_TYPE(COND_DATA_TYPE, 4) |
| 449 | cond10 = x0_condition && (VEC_DATA_TYPE(COND_DATA_TYPE, 4))y0_condition.s1; |
| 450 | COND_DATA_TYPE cond01 = (COND_DATA_TYPE)(x1_condition && y0_condition.s0); |
| 451 | COND_DATA_TYPE cond11 = (COND_DATA_TYPE)(x1_condition && y0_condition.s1); |
| 452 | |
| 453 | // Replace with 0 if the value is not valid |
| 454 | row00 = select((VEC_DATA_TYPE(DATA_TYPE, 4))PAD_VALUE, row00, cond00); |
| 455 | row10 = select((VEC_DATA_TYPE(DATA_TYPE, 4))PAD_VALUE, row10, cond10); |
| 456 | row01 = select((DATA_TYPE)PAD_VALUE, row01, cond01); |
| 457 | row11 = select((DATA_TYPE)PAD_VALUE, row11, cond11); |
| 458 | #endif // PAD_LEFT != 0 || PAD_TOP != 0 || PAD_RIGHT != 0 || PAD_BOTTOM != 0 |
| 459 | |
| 460 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row00.s0123, row01, |
| 461 | row10.s012), |
| 462 | 0, (__global DATA_TYPE *)output_ptr); |
| 463 | vstore2((VEC_DATA_TYPE(DATA_TYPE, 2))(row10.s3, row11), 0, (__global DATA_TYPE *)output_ptr + 8); |
| 464 | |
| 465 | input_ptr += src_stride_y; |
| 466 | output_ptr += 10 * dst_stride_x; |
| 467 | } |
| 468 | |
| 469 | { |
| 470 | VEC_DATA_TYPE(DATA_TYPE, 4) |
| 471 | row00 = vload4(0, (__global DATA_TYPE *)input_ptr); |
| 472 | DATA_TYPE |
| 473 | row01 = *((__global DATA_TYPE *)input_ptr + 4); |
| 474 | |
| 475 | input_ptr += src_stride_y; |
| 476 | |
| 477 | VEC_DATA_TYPE(DATA_TYPE, 4) |
| 478 | row10 = vload4(0, (__global DATA_TYPE *)input_ptr); |
| 479 | DATA_TYPE |
| 480 | row11 = *((__global DATA_TYPE *)input_ptr + 4); |
| 481 | |
| 482 | #if PAD_LEFT != 0 || PAD_TOP != 0 || PAD_RIGHT != 0 || PAD_BOTTOM != 0 |
| 483 | VEC_DATA_TYPE(COND_DATA_TYPE, 4) |
| 484 | cond00 = x0_condition && (VEC_DATA_TYPE(COND_DATA_TYPE, 4))y0_condition.s2; |
| 485 | VEC_DATA_TYPE(COND_DATA_TYPE, 4) |
| 486 | cond10 = x0_condition && (VEC_DATA_TYPE(COND_DATA_TYPE, 4))y0_condition.s3; |
| 487 | COND_DATA_TYPE cond01 = (COND_DATA_TYPE)(x1_condition && y0_condition.s2); |
| 488 | COND_DATA_TYPE cond11 = (COND_DATA_TYPE)(x1_condition && y0_condition.s3); |
| 489 | |
| 490 | // Replace with 0 if the value is not valid |
| 491 | row00 = select((VEC_DATA_TYPE(DATA_TYPE, 4))PAD_VALUE, row00, cond00); |
| 492 | row10 = select((VEC_DATA_TYPE(DATA_TYPE, 4))PAD_VALUE, row10, cond10); |
| 493 | row01 = select((DATA_TYPE)PAD_VALUE, row01, cond01); |
| 494 | row11 = select((DATA_TYPE)PAD_VALUE, row11, cond11); |
| 495 | #endif // PAD_LEFT != 0 || PAD_TOP != 0 || PAD_RIGHT != 0 || PAD_BOTTOM != 0 |
| 496 | |
| 497 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row00.s0123, row01, |
| 498 | row10.s012), |
| 499 | 0, (__global DATA_TYPE *)output_ptr); |
| 500 | vstore2((VEC_DATA_TYPE(DATA_TYPE, 2))(row10.s3, row11), 0, (__global DATA_TYPE *)output_ptr + 8); |
| 501 | |
| 502 | input_ptr += src_stride_y; |
| 503 | output_ptr += 10 * dst_stride_x; |
| 504 | } |
| 505 | |
| 506 | { |
| 507 | VEC_DATA_TYPE(DATA_TYPE, 4) |
| 508 | row00 = vload4(0, (__global DATA_TYPE *)input_ptr); |
| 509 | DATA_TYPE |
| 510 | row01 = *((__global DATA_TYPE *)input_ptr + 4); |
| 511 | |
| 512 | input_ptr += src_stride_y; |
| 513 | |
| 514 | #if PAD_LEFT != 0 || PAD_TOP != 0 || PAD_RIGHT != 0 || PAD_BOTTOM != 0 |
| 515 | VEC_DATA_TYPE(COND_DATA_TYPE, 4) |
| 516 | cond00 = x0_condition && (VEC_DATA_TYPE(COND_DATA_TYPE, 4))y1_condition; |
| 517 | COND_DATA_TYPE cond01 = (COND_DATA_TYPE)(x1_condition && y1_condition); |
| 518 | |
| 519 | // Replace with 0 if the value is not valid |
| 520 | row00 = select((VEC_DATA_TYPE(DATA_TYPE, 4))PAD_VALUE, row00, cond00); |
| 521 | row01 = select((DATA_TYPE)PAD_VALUE, row01, cond01); |
| 522 | #endif // PAD_LEFT != 0 || PAD_TOP != 0 || PAD_RIGHT != 0 || PAD_BOTTOM != 0 |
| 523 | |
| 524 | vstore4(row00, 0, (__global DATA_TYPE *)output_ptr); |
| 525 | *((__global DATA_TYPE *)output_ptr + 4) = row01; |
| 526 | |
| 527 | output_ptr += 5 * dst_stride_x; |
| 528 | } |
| 529 | |
| 530 | #ifdef HAS_BIAS |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 531 | #if defined(NUM_GROUPS) |
| 532 | if((xo / 25) == (SRC_DEPTH / NUM_GROUPS - 1)) |
| 533 | #else // defined(NUM_GROUPS) |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 534 | if(ch == (SRC_DEPTH - 1)) |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 535 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 536 | { |
| 537 | *((__global DATA_TYPE *)output_ptr) = 1.0f; |
| 538 | } |
| 539 | #endif // HAS_BIAS |
| 540 | } |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 541 | #endif // defined(CONVOLVED_WIDTH) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(STRIDE_X) && defined(STRIDE_Y) && defined(SRC_DEPTH) && defined(PAD_LEFT) && defined(PAD_RIGHT) && defined(PAD_TOP) && defined(PAD_BOTTOM) && defined(PAD_VALUE) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 542 | |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 543 | #if defined(CONVOLVED_WIDTH) && defined(STRIDE_X) && defined(STRIDE_Y) && defined(SRC_DEPTH) |
| 544 | /** This opencl kernel performs im2col when the kernel size is 11x11, we do not have paddings and the data layout is NCHW |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 545 | * |
| 546 | * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| 547 | * @note The width of output tensor after matrix multiplication must be passed at compile time using -DCONVOLVED_WIDTH: e.g. -DCONVOLVED_WIDTH=34 |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 548 | * @note The number of input channels must be passed at compile time using -DSRC_DEPTH: e.g. -DSRC_DEPTH=3 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 549 | * @note The stride along the X and Y directions must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y: e.g. -DSTRIDE_X=1 and -DSTRIDE_Y=1 |
| 550 | * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 551 | * @note In case grouping is performed, the number of groups must be passed at compile time using -DNUM_GROUPS: e.g. -DNUM_GROUPS=4 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 552 | * |
Sheri Zhang | 0de45d0 | 2020-04-17 14:59:13 +0100 | [diff] [blame] | 553 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 554 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 555 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 556 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 557 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 558 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 559 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 560 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 561 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 562 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 563 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 564 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 565 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 566 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 567 | * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 568 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 569 | * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes). |
| 570 | * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes). |
| 571 | */ |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 572 | __kernel void im2col11x11_padx0_pady0_nchw( |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 573 | TENSOR3D_DECLARATION(src), |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 574 | #if defined(NUM_GROUPS) |
| 575 | TENSOR3D_DECLARATION(dst), |
| 576 | #else // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 577 | IMAGE_DECLARATION(dst), |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 578 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 579 | uint src_stride_w, |
| 580 | uint dst_stride_w) |
| 581 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 582 | const int xc = get_global_id(0); // x coordinate in the convolved tensor |
| 583 | const int yc = get_global_id(1); // y coordinate in the convolved tensor |
| 584 | const int ch = get_global_id(2) % SRC_DEPTH; // input feature map |
| 585 | const int batch = get_global_id(2) / SRC_DEPTH; // batch size |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 586 | |
| 587 | // Calculate input indices |
| 588 | const int xi = xc * STRIDE_X; |
| 589 | const int yi = yc * STRIDE_Y; |
| 590 | |
| 591 | // Calculate output indices |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 592 | #if defined(NUM_GROUPS) |
| 593 | const int xo = (ch % (SRC_DEPTH / NUM_GROUPS)) * 121; // 11x11 |
| 594 | const int zo = ch / (SRC_DEPTH / NUM_GROUPS); |
| 595 | #else // defined(NUM_GROUPS) |
| 596 | const int xo = ch * 121; // 11x11 |
| 597 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 598 | const int yo = xc + yc * CONVOLVED_WIDTH; // Index of the convolution |
| 599 | |
| 600 | // Get input and output address |
| 601 | __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + xi * src_stride_x + yi * src_stride_y + ch * src_stride_z + batch * src_stride_w; |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 602 | #if defined(NUM_GROUPS) |
| 603 | __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + xo * dst_stride_x + yo * dst_stride_y + zo * dst_stride_z + batch * dst_stride_w; |
| 604 | #else // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 605 | __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + xo * dst_stride_x + yo * dst_stride_y + batch * dst_stride_w; |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 606 | #endif // defined(NUM_GROUPS) |
| 607 | |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 608 | { |
| 609 | VEC_DATA_TYPE(DATA_TYPE, 8) |
| 610 | row00 = vload8(0, (__global DATA_TYPE *)(input_ptr)); |
| 611 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 612 | row01 = vload3(0, (__global DATA_TYPE *)(input_ptr) + 8); |
| 613 | |
| 614 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row00.s01234567), 0, (__global DATA_TYPE *)output_ptr); |
| 615 | vstore3((VEC_DATA_TYPE(DATA_TYPE, 3))(row01.s012), 0, (__global DATA_TYPE *)output_ptr + 8); |
| 616 | |
| 617 | input_ptr += src_stride_y; |
| 618 | output_ptr += 11 * src_stride_x; |
| 619 | } |
| 620 | |
| 621 | { |
| 622 | VEC_DATA_TYPE(DATA_TYPE, 8) |
| 623 | row00 = vload8(0, (__global DATA_TYPE *)(input_ptr)); |
| 624 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 625 | row01 = vload3(0, (__global DATA_TYPE *)(input_ptr) + 8); |
| 626 | |
| 627 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row00.s01234567), 0, (__global DATA_TYPE *)output_ptr); |
| 628 | vstore3((VEC_DATA_TYPE(DATA_TYPE, 3))(row01.s012), 0, (__global DATA_TYPE *)output_ptr + 8); |
| 629 | |
| 630 | input_ptr += src_stride_y; |
| 631 | output_ptr += 11 * src_stride_x; |
| 632 | } |
| 633 | |
| 634 | { |
| 635 | VEC_DATA_TYPE(DATA_TYPE, 8) |
| 636 | row00 = vload8(0, (__global DATA_TYPE *)(input_ptr)); |
| 637 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 638 | row01 = vload3(0, (__global DATA_TYPE *)(input_ptr) + 8); |
| 639 | |
| 640 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row00.s01234567), 0, (__global DATA_TYPE *)output_ptr); |
| 641 | vstore3((VEC_DATA_TYPE(DATA_TYPE, 3))(row01.s012), 0, (__global DATA_TYPE *)output_ptr + 8); |
| 642 | |
| 643 | input_ptr += src_stride_y; |
| 644 | output_ptr += 11 * src_stride_x; |
| 645 | } |
| 646 | |
| 647 | { |
| 648 | VEC_DATA_TYPE(DATA_TYPE, 8) |
| 649 | row00 = vload8(0, (__global DATA_TYPE *)(input_ptr)); |
| 650 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 651 | row01 = vload3(0, (__global DATA_TYPE *)(input_ptr) + 8); |
| 652 | |
| 653 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row00.s01234567), 0, (__global DATA_TYPE *)output_ptr); |
| 654 | vstore3((VEC_DATA_TYPE(DATA_TYPE, 3))(row01.s012), 0, (__global DATA_TYPE *)output_ptr + 8); |
| 655 | |
| 656 | input_ptr += src_stride_y; |
| 657 | output_ptr += 11 * src_stride_x; |
| 658 | } |
| 659 | |
| 660 | { |
| 661 | VEC_DATA_TYPE(DATA_TYPE, 8) |
| 662 | row00 = vload8(0, (__global DATA_TYPE *)(input_ptr)); |
| 663 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 664 | row01 = vload3(0, (__global DATA_TYPE *)(input_ptr) + 8); |
| 665 | |
| 666 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row00.s01234567), 0, (__global DATA_TYPE *)output_ptr); |
| 667 | vstore3((VEC_DATA_TYPE(DATA_TYPE, 3))(row01.s012), 0, (__global DATA_TYPE *)output_ptr + 8); |
| 668 | |
| 669 | input_ptr += src_stride_y; |
| 670 | output_ptr += 11 * src_stride_x; |
| 671 | } |
| 672 | |
| 673 | { |
| 674 | VEC_DATA_TYPE(DATA_TYPE, 8) |
| 675 | row00 = vload8(0, (__global DATA_TYPE *)(input_ptr)); |
| 676 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 677 | row01 = vload3(0, (__global DATA_TYPE *)(input_ptr) + 8); |
| 678 | |
| 679 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row00.s01234567), 0, (__global DATA_TYPE *)output_ptr); |
| 680 | vstore3((VEC_DATA_TYPE(DATA_TYPE, 3))(row01.s012), 0, (__global DATA_TYPE *)output_ptr + 8); |
| 681 | |
| 682 | input_ptr += src_stride_y; |
| 683 | output_ptr += 11 * src_stride_x; |
| 684 | } |
| 685 | |
| 686 | { |
| 687 | VEC_DATA_TYPE(DATA_TYPE, 8) |
| 688 | row00 = vload8(0, (__global DATA_TYPE *)(input_ptr)); |
| 689 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 690 | row01 = vload3(0, (__global DATA_TYPE *)(input_ptr) + 8); |
| 691 | |
| 692 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row00.s01234567), 0, (__global DATA_TYPE *)output_ptr); |
| 693 | vstore3((VEC_DATA_TYPE(DATA_TYPE, 3))(row01.s012), 0, (__global DATA_TYPE *)output_ptr + 8); |
| 694 | |
| 695 | input_ptr += src_stride_y; |
| 696 | output_ptr += 11 * src_stride_x; |
| 697 | } |
| 698 | |
| 699 | { |
| 700 | VEC_DATA_TYPE(DATA_TYPE, 8) |
| 701 | row00 = vload8(0, (__global DATA_TYPE *)(input_ptr)); |
| 702 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 703 | row01 = vload3(0, (__global DATA_TYPE *)(input_ptr) + 8); |
| 704 | |
| 705 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row00.s01234567), 0, (__global DATA_TYPE *)output_ptr); |
| 706 | vstore3((VEC_DATA_TYPE(DATA_TYPE, 3))(row01.s012), 0, (__global DATA_TYPE *)output_ptr + 8); |
| 707 | |
| 708 | input_ptr += src_stride_y; |
| 709 | output_ptr += 11 * src_stride_x; |
| 710 | } |
| 711 | |
| 712 | { |
| 713 | VEC_DATA_TYPE(DATA_TYPE, 8) |
| 714 | row00 = vload8(0, (__global DATA_TYPE *)(input_ptr)); |
| 715 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 716 | row01 = vload3(0, (__global DATA_TYPE *)(input_ptr) + 8); |
| 717 | |
| 718 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row00.s01234567), 0, (__global DATA_TYPE *)output_ptr); |
| 719 | vstore3((VEC_DATA_TYPE(DATA_TYPE, 3))(row01.s012), 0, (__global DATA_TYPE *)output_ptr + 8); |
| 720 | |
| 721 | input_ptr += src_stride_y; |
| 722 | output_ptr += 11 * src_stride_x; |
| 723 | } |
| 724 | |
| 725 | { |
| 726 | VEC_DATA_TYPE(DATA_TYPE, 8) |
| 727 | row00 = vload8(0, (__global DATA_TYPE *)(input_ptr)); |
| 728 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 729 | row01 = vload3(0, (__global DATA_TYPE *)(input_ptr) + 8); |
| 730 | |
| 731 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row00.s01234567), 0, (__global DATA_TYPE *)output_ptr); |
| 732 | vstore3((VEC_DATA_TYPE(DATA_TYPE, 3))(row01.s012), 0, (__global DATA_TYPE *)output_ptr + 8); |
| 733 | |
| 734 | input_ptr += src_stride_y; |
| 735 | output_ptr += 11 * src_stride_x; |
| 736 | } |
| 737 | |
| 738 | { |
| 739 | VEC_DATA_TYPE(DATA_TYPE, 8) |
| 740 | row00 = vload8(0, (__global DATA_TYPE *)(input_ptr)); |
| 741 | VEC_DATA_TYPE(DATA_TYPE, 3) |
| 742 | row01 = vload3(0, (__global DATA_TYPE *)(input_ptr) + 8); |
| 743 | |
| 744 | vstore8((VEC_DATA_TYPE(DATA_TYPE, 8))(row00.s01234567), 0, (__global DATA_TYPE *)output_ptr); |
| 745 | vstore3((VEC_DATA_TYPE(DATA_TYPE, 3))(row01.s012), 0, (__global DATA_TYPE *)output_ptr + 8); |
| 746 | |
| 747 | output_ptr += 11 * src_stride_x; |
| 748 | } |
| 749 | |
| 750 | #ifdef HAS_BIAS |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 751 | #if defined(NUM_GROUPS) |
| 752 | if((xo / 121) == (SRC_DEPTH / NUM_GROUPS - 1)) |
| 753 | #else // defined(NUM_GROUPS) |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 754 | if(ch == (SRC_DEPTH - 1)) |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 755 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 756 | { |
| 757 | *((__global DATA_TYPE *)output_ptr) = 1.0f; |
| 758 | } |
| 759 | #endif // HAS_BIAS |
| 760 | } |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 761 | #endif // defined(CONVOLVED_WIDTH) && defined(STRIDE_X) && defined(STRIDE_Y) && defined(SRC_DEPTH) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 762 | |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 763 | #if defined(CONVOLVED_WIDTH) && defined(STRIDE_X) && defined(STRIDE_Y) && defined(KERNEL_WIDTH) && defined(KERNEL_HEIGHT) && defined(SRC_DEPTH) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(VECTOR_SIZE) && defined(WIDTH_MOD_VECTOR_SIZE) |
| 764 | /** This opencl kernel performs im2col when the kernel size is greater than 1x1, we do not have paddings and the data layout is NCHW |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 765 | * |
| 766 | * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. |
| 767 | * @note The vector size must be passed at compile time using -DVECTOR_SIZE e.g. -DVECTOR_SIZE=4. |
| 768 | * @note The width modulo vector size must be passed at compile time using -DWIDTH_MOD_VECTOR_SIZE e.g. -DWIDTH_MOD_VECTOR_SIZE=3. |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 769 | * @note The stride along the X and Y directions must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y: e.g. -DSTRIDE_X=1 and -DSTRIDE_Y=1 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 770 | * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 771 | * @note In case grouping is performed, the number of groups must be passed at compile time using -DNUM_GROUPS: e.g. -DNUM_GROUPS=4 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 772 | * |
Sheri Zhang | 0de45d0 | 2020-04-17 14:59:13 +0100 | [diff] [blame] | 773 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 774 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 775 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 776 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 777 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 778 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 779 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 780 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 781 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 782 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 783 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 784 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 785 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 786 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 787 | * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 788 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 789 | * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes). |
| 790 | * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes). |
| 791 | */ |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 792 | __kernel void im2col_generic_padx0_pady0_nchw( |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 793 | TENSOR3D_DECLARATION(src), |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 794 | #if defined(NUM_GROUPS) |
| 795 | TENSOR3D_DECLARATION(dst), |
| 796 | #else // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 797 | IMAGE_DECLARATION(dst), |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 798 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 799 | uint src_stride_w, |
| 800 | uint dst_stride_w) |
| 801 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 802 | const int xc = get_global_id(0); // x coordinate in the convolved tensor |
| 803 | const int yc = get_global_id(1); // y coordinate in the convolved tensor |
| 804 | const int ch = get_global_id(2) % SRC_DEPTH; // input feature map |
| 805 | const int batch = get_global_id(2) / SRC_DEPTH; // batch size |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 806 | |
| 807 | // Calculate input indices |
| 808 | const int xi = xc * STRIDE_X; |
| 809 | const int yi = yc * STRIDE_Y; |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 810 | |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 811 | // Calculate output indices |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 812 | #if defined(NUM_GROUPS) |
| 813 | const int xo = (ch % (SRC_DEPTH / NUM_GROUPS)) * KERNEL_WIDTH * KERNEL_HEIGHT; |
| 814 | const int zo = ch / (SRC_DEPTH / NUM_GROUPS); |
| 815 | #else // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 816 | const int xo = ch * KERNEL_WIDTH * KERNEL_HEIGHT; |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 817 | #endif // defined(NUM_GROUPS) |
| 818 | const int yo = xc + yc * CONVOLVED_WIDTH; // Index of the convolution |
| 819 | |
| 820 | __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + ch * src_stride_z + batch * src_stride_w; |
| 821 | #if defined(NUM_GROUPS) |
| 822 | __global DATA_TYPE *output_ptr = ((__global DATA_TYPE *)(dst_ptr + dst_offset_first_element_in_bytes + yo * dst_stride_y + zo * dst_stride_z + batch * dst_stride_w)) + xo; |
| 823 | #else // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 824 | __global DATA_TYPE *output_ptr = ((__global DATA_TYPE *)(dst_ptr + dst_offset_first_element_in_bytes + yo * dst_stride_y + batch * dst_stride_w)) + xo; |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 825 | #endif // defined(NUM_GROUPS) |
| 826 | |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 827 | // Linearize convolution elements |
| 828 | for(int y = yi, y_e = yi + KERNEL_HEIGHT; y < y_e; ++y) |
| 829 | { |
| 830 | int last_x = 0; |
| 831 | for(int x = xi, x_e = xi + KERNEL_WIDTH; x + VECTOR_SIZE <= x_e; x += VECTOR_SIZE, output_ptr += VECTOR_SIZE) |
| 832 | { |
| 833 | VEC_DATA_TYPE(DATA_TYPE, VECTOR_SIZE) |
| 834 | row = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + x * src_stride_x + y * src_stride_y)); |
| 835 | VSTORE(VECTOR_SIZE) |
| 836 | (row, 0, output_ptr); |
| 837 | last_x = x; |
| 838 | } |
| 839 | // Copy the remainder of the row by doing VLOAD(WIDTH_MOD_VECTOR_SIZE) and VSTORE(WIDTH_MOD_VECTOR_SIZE). |
| 840 | // Note that x and output_ptr have already been incremented by VECTOR_SIZE by the loop just before exit. |
| 841 | #if WIDTH_MOD_VECTOR_SIZE == 1 |
| 842 | *output_ptr = *((__global DATA_TYPE *)(input_ptr + (last_x + VECTOR_SIZE) * src_stride_x + y * src_stride_y)); |
| 843 | #elif WIDTH_MOD_VECTOR_SIZE > 1 |
| 844 | VEC_DATA_TYPE(DATA_TYPE, WIDTH_MOD_VECTOR_SIZE) |
| 845 | row = VLOAD(WIDTH_MOD_VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + (last_x + VECTOR_SIZE) * src_stride_x + y * src_stride_y)); |
| 846 | VSTORE(WIDTH_MOD_VECTOR_SIZE) |
| 847 | (row, 0, output_ptr); |
| 848 | #endif /* WIDTH_MOD_VECTOR_SIZE */ |
| 849 | output_ptr += WIDTH_MOD_VECTOR_SIZE; |
| 850 | } /* End of loop over KERNEL_HEIGHT */ |
| 851 | |
| 852 | #ifdef HAS_BIAS |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 853 | #if defined(NUM_GROUPS) |
| 854 | if((xo / (KERNEL_WIDTH * KERNEL_HEIGHT)) == (SRC_DEPTH / NUM_GROUPS - 1)) |
| 855 | #else // defined(NUM_GROUPS) |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 856 | if(ch == (SRC_DEPTH - 1)) |
Giorgio Arena | 0f17039 | 2018-07-18 16:13:12 +0100 | [diff] [blame] | 857 | #endif // defined(NUM_GROUPS) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 858 | { |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 859 | *output_ptr = 1.0f; |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 860 | } |
| 861 | #endif // HAS_BIAS |
| 862 | } |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 863 | #endif //defined(CONVOLVED_WIDTH) && defined(STRIDE_X) && defined(STRIDE_Y) && defined(PAD_LEFT) && defined(PAD_TOP) && defined(PAD_RIGHT) && defined(PAD_BOTTOM) && defined(KERNEL_WIDTH) && defined(KERNEL_HEIGHT) && defined(SRC_DEPTH) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(VECTOR_SIZE) && defined(WIDTH_MOD_VECTOR_SIZE) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 864 | |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 865 | #if defined(CONVOLVED_WIDTH) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(STRIDE_X) && defined(STRIDE_Y) && defined(KERNEL_WIDTH) && defined(KERNEL_HEIGHT) && defined(SRC_DEPTH) && defined(PAD_LEFT) && defined(PAD_RIGHT) && defined(PAD_TOP) && defined(PAD_BOTTOM) && defined(PAD_VALUE) && defined(VECTOR_SIZE) && defined(BOUNDARY_VECTOR_SIZE) |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 866 | |
| 867 | #define VECTOR_N VEC_DATA_TYPE(DATA_TYPE, VECTOR_SIZE) |
SiCong Li | 03d8a89 | 2020-08-10 19:57:46 +0100 | [diff] [blame] | 868 | #define COND_N VEC_DATA_TYPE(COND_DATA_TYPE, VECTOR_SIZE) |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 869 | |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 870 | /** Store a 1x9 row or a 3x3 block in a boundary-aware manner to avoid paddings in the channel dimension |
| 871 | * @name IM2COL1X9_NHWC_STORE |
| 872 | * |
| 873 | * @note To use this macro for a 3x3 block, @p ROW has to be 0 |
| 874 | * |
| 875 | * @param[in] VECTOR_SIZE The non-boundary vector width of @p DATA. Supported: 1(scalar), 2, 3, 4, 8, 16 |
| 876 | * @param[in] BOUNDARY_VECTOR_SIZE The boundary vector width of @p DATA. Supported: 1-16, but has to be <= @p size |
| 877 | * @param[in] DATA_TYPE Data type of @p DATA |
| 878 | * @param[in] SRC_DEPTH Input channel size / depth |
| 879 | * @param[in] DATA Value variable base name |
| 880 | * @param[in] ROW The row number to store. Supported: 0-8 |
| 881 | * @param[in] OUTPUT_PTR Output pointer |
| 882 | * @{ |
| 883 | */ |
| 884 | #if defined(VECTOR_SIZE) && defined(BOUNDARY_VECTOR_SIZE) && BOUNDARY_VECTOR_SIZE < VECTOR_SIZE |
| 885 | #define IM2COL1X9_NHWC_STORE(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE, DATA_TYPE, SRC_DEPTH, DATA, ROW, OUTPUT_PTR) \ |
| 886 | const bool at_channel_boundary = get_global_id(0) == 0; \ |
| 887 | if(at_channel_boundary) \ |
| 888 | { \ |
| 889 | IM2COL1X9_NHWC_STORE_PARTIAL(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE, DATA_TYPE, SRC_DEPTH, DATA, ROW, OUTPUT_PTR) \ |
| 890 | } \ |
| 891 | else \ |
| 892 | { \ |
| 893 | IM2COL1X9_NHWC_STORE_NONPARTIAL(VECTOR_SIZE, DATA_TYPE, SRC_DEPTH, DATA, ROW, OUTPUT_PTR) \ |
| 894 | } |
| 895 | #else // defined(VECTOR_SIZE) && defined(BOUNDARY_VECTOR_SIZE) && BOUNDARY_VECTOR_SIZE < VECTOR_SIZE |
| 896 | #define IM2COL1X9_NHWC_STORE(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE, DATA_TYPE, SRC_DEPTH, DATA, ROW, OUTPUT_PTR) \ |
| 897 | IM2COL1X9_NHWC_STORE_NONPARTIAL(VECTOR_SIZE, DATA_TYPE, SRC_DEPTH, DATA, ROW, OUTPUT_PTR) |
| 898 | #endif // defined(VECTOR_SIZE) && defined(BOUNDARY_VECTOR_SIZE) && BOUNDARY_VECTOR_SIZE < VECTOR_SIZE |
| 899 | |
| 900 | #define IM2COL1X9_NHWC_STORE_NONPARTIAL(VECTOR_SIZE, DATA_TYPE, SRC_DEPTH, DATA, ROW, OUTPUT_PTR) \ |
| 901 | VSTORE(VECTOR_SIZE) \ |
| 902 | (DATA##0, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (0 + ROW * 9) * SRC_DEPTH); \ |
| 903 | VSTORE(VECTOR_SIZE) \ |
| 904 | (DATA##1, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (1 + ROW * 9) * SRC_DEPTH); \ |
| 905 | VSTORE(VECTOR_SIZE) \ |
| 906 | (DATA##2, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (2 + ROW * 9) * SRC_DEPTH); \ |
| 907 | VSTORE(VECTOR_SIZE) \ |
| 908 | (DATA##3, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (3 + ROW * 9) * SRC_DEPTH); \ |
| 909 | VSTORE(VECTOR_SIZE) \ |
| 910 | (DATA##4, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (4 + ROW * 9) * SRC_DEPTH); \ |
| 911 | VSTORE(VECTOR_SIZE) \ |
| 912 | (DATA##5, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (5 + ROW * 9) * SRC_DEPTH); \ |
| 913 | VSTORE(VECTOR_SIZE) \ |
| 914 | (DATA##6, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (6 + ROW * 9) * SRC_DEPTH); \ |
| 915 | VSTORE(VECTOR_SIZE) \ |
| 916 | (DATA##7, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (7 + ROW * 9) * SRC_DEPTH); \ |
| 917 | VSTORE(VECTOR_SIZE) \ |
| 918 | (DATA##8, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (8 + ROW * 9) * SRC_DEPTH); |
| 919 | |
| 920 | #define IM2COL1X9_NHWC_STORE_PARTIAL(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE, DATA_TYPE, SRC_DEPTH, DATA, ROW, OUTPUT_PTR) \ |
| 921 | VSTORE_PARTIAL(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE) \ |
| 922 | (DATA##0, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (0 + ROW * 9) * SRC_DEPTH); \ |
| 923 | VSTORE_PARTIAL(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE) \ |
| 924 | (DATA##1, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (1 + ROW * 9) * SRC_DEPTH); \ |
| 925 | VSTORE_PARTIAL(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE) \ |
| 926 | (DATA##2, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (2 + ROW * 9) * SRC_DEPTH); \ |
| 927 | VSTORE_PARTIAL(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE) \ |
| 928 | (DATA##3, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (3 + ROW * 9) * SRC_DEPTH); \ |
| 929 | VSTORE_PARTIAL(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE) \ |
| 930 | (DATA##4, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (4 + ROW * 9) * SRC_DEPTH); \ |
| 931 | VSTORE_PARTIAL(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE) \ |
| 932 | (DATA##5, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (5 + ROW * 9) * SRC_DEPTH); \ |
| 933 | VSTORE_PARTIAL(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE) \ |
| 934 | (DATA##6, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (6 + ROW * 9) * SRC_DEPTH); \ |
| 935 | VSTORE_PARTIAL(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE) \ |
| 936 | (DATA##7, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (7 + ROW * 9) * SRC_DEPTH); \ |
| 937 | VSTORE_PARTIAL(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE) \ |
| 938 | (DATA##8, 0, (__global DATA_TYPE *)(OUTPUT_PTR) + (8 + ROW * 9) * SRC_DEPTH); |
| 939 | /** @}*/ |
| 940 | |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 941 | /** This kernel performs im2col when the kernel size is 3x3 and the data layout is NHWC |
| 942 | * |
| 943 | * @note This kernel computes VECTOR_SIZE elements |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 944 | * @note This kernel stores VECTOR_SIZE or BOUNDARY_VECTOR_SIZE (if at boundary) elements |
SiCong Li | 315a20e | 2020-08-11 14:10:30 +0100 | [diff] [blame] | 945 | * @note The vector size must be passed at compile time using -DVECTOR_SIZE: e.g. -DVECTOR_SIZE=2 |
| 946 | * @note The boundary vector size must be passed at compile time using -DBOUNDARY_VECTOR_SIZE: e.g. -DBOUNDARY_VECTOR_SIZE=1 |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 947 | * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| 948 | * @note The width of output tensor after matrix multiplication must be passed at compile time using -DCONVOLVED_WIDTH: e.g. -DCONVOLVED_WIDTH=34 |
| 949 | * @note The kernel depth must be passed at compile time using -DSRC_DEPTH: e.g. -DSRC_DEPTH=3 |
| 950 | * @note The stride along the Y direction must be passed at compile time using -DSTRIDE_Y: e.g. -DSTRIDE_Y=1 |
| 951 | * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. |
| 952 | * |
Sheri Zhang | 0de45d0 | 2020-04-17 14:59:13 +0100 | [diff] [blame] | 953 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32 |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 954 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 955 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 956 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 957 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 958 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 959 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 960 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 961 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 962 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 963 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 964 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 965 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 966 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 967 | * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes). |
| 968 | * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes). |
| 969 | */ |
| 970 | __kernel void im2col3x3_nhwc( |
| 971 | TENSOR3D_DECLARATION(src), |
| 972 | IMAGE_DECLARATION(dst), |
| 973 | uint src_stride_w, |
| 974 | uint dst_stride_w) |
| 975 | { |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 976 | // input feature map, boundary-corrected (shift all non-boundary vectors by shift_amount) to avoid padding |
| 977 | const int shift_amount = (int)VECTOR_SIZE - (int)BOUNDARY_VECTOR_SIZE; |
| 978 | const int ch = max((int)(get_global_id(0) * VECTOR_SIZE) - shift_amount, 0); |
| 979 | const int yo = get_global_id(1); |
| 980 | const int batch = get_global_id(2); // batch size |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 981 | |
| 982 | // Calculate input indices |
| 983 | const int xi = (get_global_id(1) % CONVOLVED_WIDTH) * STRIDE_X; |
| 984 | const int yi = (get_global_id(1) / (int)CONVOLVED_WIDTH) * STRIDE_Y; |
| 985 | |
| 986 | // Get input and output address |
| 987 | __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + ch * sizeof(DATA_TYPE) + batch * (int)src_stride_w; |
| 988 | __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + ch * sizeof(DATA_TYPE) + yo * (int)dst_stride_y + batch * (int)dst_stride_w; |
| 989 | |
| 990 | int yi_coord = 0; |
| 991 | int3 offset = 0; |
| 992 | |
| 993 | // Clamp xi |
| 994 | int3 xi_offset = ((int3)xi + (int3)(0, 1, 2) * DILATION_X - (int3)PAD_LEFT); |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 995 | #if PAD_LEFT != 0 || PAD_RIGHT != 0 |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 996 | #define CLAMP(x, min_val, max_val) min(max(x, min_val), max_val) |
| 997 | xi_offset = CLAMP(xi_offset, (int3)0, (int3)(SRC_WIDTH - 1)); |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 998 | #endif // PAD_LEFT != 0 || PAD_RIGHT != 0 |
| 999 | // Multiply by src_stride_y as the width (X) dimension here is the second (y) dimension in src NHWC tensor |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1000 | xi_offset *= (int3)src_stride_y; |
| 1001 | |
| 1002 | // Out-of-bound condition for X |
| 1003 | int3 x_cond = (((int3)xi + (int3)(0, 1, 2) * DILATION_X - (int3)PAD_LEFT) < (int3)0) || (((int3)xi + (int3)(0, 1, 2) * DILATION_X - (int3)PAD_LEFT) >= (int3)SRC_WIDTH); |
| 1004 | |
| 1005 | // yi == 0 |
| 1006 | // Clamp yi |
| 1007 | // yi_coord is casted to unsigned int in order to use just a min() operation |
| 1008 | // A "-1" 32 bit signed variable converted to unsigned gives 4294967295 |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1009 | // This is a trick so that the values loaded in the padding areas are always from the last row (SRC_HEIGHT - 1), |
| 1010 | // because of the negative yi_coord wrap-around, but it gets overwritten by PAD_VALUE immediately as the wrap-around |
| 1011 | // also causes y_cond (y padding condition) to be satisfied |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1012 | yi_coord = yi - (int)PAD_TOP; |
| 1013 | |
| 1014 | // Clamp only if PAD_TOP or PAD_BOTTOM is not equal to 0 |
| 1015 | #if PAD_TOP != 0 || PAD_BOTTOM != 0 |
| 1016 | yi_coord = min((uint)yi_coord, (uint)(SRC_HEIGHT - 1)); |
| 1017 | #endif // PAD_TOP != 0 || PAD_BOTTOM != 0 |
| 1018 | |
| 1019 | // Compute offset |
| 1020 | offset = xi_offset + (yi_coord * (int)src_stride_z); |
| 1021 | |
| 1022 | // Load input values |
| 1023 | VECTOR_N values0 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset.s0)); |
| 1024 | VECTOR_N values1 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset.s1)); |
| 1025 | VECTOR_N values2 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset.s2)); |
| 1026 | |
| 1027 | #if PAD_TOP != 0 || PAD_LEFT != 0 || PAD_BOTTOM != 0 || PAD_RIGHT != 0 |
| 1028 | // Replace invalid values with PAD_VALUE |
| 1029 | int y_cond = (int)((uint)(yi - (int)PAD_TOP) >= (uint)(SRC_HEIGHT)); |
SiCong Li | 03d8a89 | 2020-08-10 19:57:46 +0100 | [diff] [blame] | 1030 | values0 = select(values0, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond.s0))); |
| 1031 | values1 = select(values1, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond.s1))); |
| 1032 | values2 = select(values2, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond.s2))); |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1033 | #endif // PAD_TOP != 0 || PAD_LEFT != 0 || PAD_BOTTOM != 0 || PAD_RIGHT != 0 |
| 1034 | |
| 1035 | // yi == 1 |
| 1036 | // Clamp yi_coord (it can be negative if PAD_TOP > 1) |
| 1037 | yi_coord = yi - (int)PAD_TOP + 1 * DILATION_Y; |
| 1038 | |
| 1039 | // Clamp only if PAD_TOP or PAD_BOTTOM is not equal to 0 |
| 1040 | #if PAD_TOP != 0 || PAD_BOTTOM != 0 |
| 1041 | yi_coord = min((uint)yi_coord, (uint)(SRC_HEIGHT - 1)); |
| 1042 | #endif // PAD_TOP != 0 || PAD_BOTTOM != 0 |
| 1043 | |
| 1044 | // Compute offset |
| 1045 | offset = xi_offset + (yi_coord * (int)src_stride_z); |
| 1046 | |
| 1047 | // Load input values |
| 1048 | VECTOR_N values3 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset.s0)); |
| 1049 | VECTOR_N values4 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset.s1)); |
| 1050 | VECTOR_N values5 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset.s2)); |
| 1051 | |
| 1052 | #if PAD_TOP != 0 || PAD_LEFT != 0 || PAD_BOTTOM != 0 || PAD_RIGHT != 0 |
| 1053 | // Replace invalid values with zeros |
Gian Marco Iodice | 2318fcf | 2018-08-09 15:50:07 +0100 | [diff] [blame] | 1054 | y_cond = (int)((uint)(yi - (int)PAD_TOP + 1 * DILATION_Y) >= (uint)(SRC_HEIGHT)); |
SiCong Li | 03d8a89 | 2020-08-10 19:57:46 +0100 | [diff] [blame] | 1055 | values3 = select(values3, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond.s0))); |
| 1056 | values4 = select(values4, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond.s1))); |
| 1057 | values5 = select(values5, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond.s2))); |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1058 | #endif // PAD_TOP != 0 || PAD_LEFT != 0 || PAD_BOTTOM != 0 || PAD_RIGHT != 0 |
| 1059 | |
| 1060 | // yi == 2 |
| 1061 | // Clamp yi_coord |
| 1062 | yi_coord = yi - (int)PAD_TOP + 2 * DILATION_Y; |
| 1063 | |
| 1064 | // Clamp only if PAD_TOP or PAD_BOTTOM is not equal to 0 |
| 1065 | #if PAD_TOP != 0 || PAD_BOTTOM != 0 |
| 1066 | yi_coord = min((uint)yi_coord, (uint)(SRC_HEIGHT - 1)); |
| 1067 | #endif // PAD_TOP != 0 || PAD_BOTTOM != 0 |
| 1068 | |
| 1069 | // Compute offset |
| 1070 | offset = xi_offset + (yi_coord * (int)src_stride_z); |
| 1071 | |
| 1072 | // Load input values |
| 1073 | VECTOR_N values6 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset.s0)); |
| 1074 | VECTOR_N values7 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset.s1)); |
| 1075 | VECTOR_N values8 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset.s2)); |
| 1076 | |
| 1077 | #if PAD_TOP != 0 || PAD_LEFT != 0 || PAD_BOTTOM != 0 || PAD_RIGHT != 0 |
| 1078 | // Replace invalid values with PAD_VALUE |
Gian Marco Iodice | 2318fcf | 2018-08-09 15:50:07 +0100 | [diff] [blame] | 1079 | y_cond = (int)((uint)(yi - (int)PAD_TOP + 2 * DILATION_Y) >= (uint)(SRC_HEIGHT)); |
SiCong Li | 03d8a89 | 2020-08-10 19:57:46 +0100 | [diff] [blame] | 1080 | values6 = select(values6, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond.s0))); |
| 1081 | values7 = select(values7, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond.s1))); |
| 1082 | values8 = select(values8, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond.s2))); |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1083 | #endif // PAD_TOP != 0 || PAD_LEFT != 0 || PAD_BOTTOM != 0 || PAD_RIGHT != 0 |
| 1084 | |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1085 | // Store in a boundary-aware way to avoid padding |
| 1086 | IM2COL1X9_NHWC_STORE(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE, DATA_TYPE, SRC_DEPTH, values, 0, output_ptr) |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1087 | |
| 1088 | #ifdef HAS_BIAS |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1089 | // We can use VECTOR_SIZE instead of BOUNDARY_VECTOR_SIZE even if it's at the boundary. This is because the bias is |
| 1090 | // added at the end of the channel, while the boundary vec is at the beginning of the channel. |
| 1091 | // The only case where the boundary vec is at the end of the channel is when there's only a single boundary vec in |
| 1092 | // the whole channel dimension, but in that case VECTOR_SIZE is also equal to BOUNDARY_VECTOR_SIZE |
| 1093 | // See the value of num_elems_processed_per_iteration in configure_opencl_kernel method in CLIm2ColKernel.cpp |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1094 | if((ch + VECTOR_SIZE) >= SRC_DEPTH) |
| 1095 | { |
| 1096 | *((__global DATA_TYPE *)(output_ptr) - ch + SRC_DEPTH * 9) = 1.0f; |
| 1097 | } |
| 1098 | #endif // HAS_BIAS |
| 1099 | } |
| 1100 | |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1101 | #if PAD_TOP != 0 || PAD_LEFT != 0 || PAD_BOTTOM != 0 || PAD_RIGHT != 0 |
SiCong Li | 03d8a89 | 2020-08-10 19:57:46 +0100 | [diff] [blame] | 1102 | #define IM2COL1x9(i) \ |
| 1103 | ({ \ |
| 1104 | yi_coord = yi - (int)PAD_TOP + i * DILATION_Y; \ |
| 1105 | yi_coord = min((uint)yi_coord, (uint)(SRC_HEIGHT - 1)); \ |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1106 | \ |
SiCong Li | 03d8a89 | 2020-08-10 19:57:46 +0100 | [diff] [blame] | 1107 | offset0 = xi_offset0 + (yi_coord * (int)src_stride_z); \ |
| 1108 | offset1 = xi_offset1 + (yi_coord * (int)src_stride_z); \ |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1109 | \ |
SiCong Li | 03d8a89 | 2020-08-10 19:57:46 +0100 | [diff] [blame] | 1110 | VECTOR_N values0 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s0)); \ |
| 1111 | VECTOR_N values1 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s1)); \ |
| 1112 | VECTOR_N values2 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s2)); \ |
| 1113 | VECTOR_N values3 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s3)); \ |
| 1114 | VECTOR_N values4 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s4)); \ |
| 1115 | VECTOR_N values5 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s5)); \ |
| 1116 | VECTOR_N values6 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s6)); \ |
| 1117 | VECTOR_N values7 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s7)); \ |
| 1118 | VECTOR_N values8 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset1)); \ |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1119 | \ |
SiCong Li | 03d8a89 | 2020-08-10 19:57:46 +0100 | [diff] [blame] | 1120 | int y_cond = (int)((uint)(yi - (int)PAD_TOP + i * DILATION_Y) >= (uint)(SRC_HEIGHT)); \ |
| 1121 | values0 = select(values0, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond0.s0))); \ |
| 1122 | values1 = select(values1, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond0.s1))); \ |
| 1123 | values2 = select(values2, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond0.s2))); \ |
| 1124 | values3 = select(values3, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond0.s3))); \ |
| 1125 | values4 = select(values4, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond0.s4))); \ |
| 1126 | values5 = select(values5, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond0.s5))); \ |
| 1127 | values6 = select(values6, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond0.s6))); \ |
| 1128 | values7 = select(values7, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond0.s7))); \ |
| 1129 | values8 = select(values8, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)y_cond || (COND_N)(x_cond1))); \ |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1130 | \ |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1131 | IM2COL1X9_NHWC_STORE(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE, DATA_TYPE, SRC_DEPTH, values, i, output_ptr) \ |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1132 | }) |
| 1133 | #else // PAD_TOP != 0 || PAD_LEFT != 0 || PAD_BOTTOM != 0 || PAD_RIGHT != 0 |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1134 | #define IM2COL1x9(i) \ |
| 1135 | ({ \ |
| 1136 | yi_coord = yi - (int)PAD_TOP + i * DILATION_Y; \ |
| 1137 | yi_coord = min((uint)yi_coord, (uint)(SRC_HEIGHT - 1)); \ |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1138 | \ |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1139 | offset0 = xi_offset0 + (yi_coord * (int)src_stride_z); \ |
| 1140 | offset1 = xi_offset1 + (yi_coord * (int)src_stride_z); \ |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1141 | \ |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1142 | VECTOR_N values0 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s0)); \ |
| 1143 | VECTOR_N values1 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s1)); \ |
| 1144 | VECTOR_N values2 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s2)); \ |
| 1145 | VECTOR_N values3 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s3)); \ |
| 1146 | VECTOR_N values4 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s4)); \ |
| 1147 | VECTOR_N values5 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s5)); \ |
| 1148 | VECTOR_N values6 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s6)); \ |
| 1149 | VECTOR_N values7 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset0.s7)); \ |
| 1150 | VECTOR_N values8 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset1)); \ |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1151 | \ |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1152 | IM2COL1X9_NHWC_STORE(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE, DATA_TYPE, SRC_DEPTH, values, i, output_ptr) \ |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1153 | }) |
| 1154 | #endif // PAD_TOP != 0 || PAD_LEFT != 0 || PAD_BOTTOM != 0 || PAD_RIGHT != 0 |
| 1155 | |
| 1156 | /** This kernel performs im2col when the kernel size is 9x9 and the data layout is NHWC |
| 1157 | * |
| 1158 | * @note This kernel computes VECTOR_SIZE elements |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1159 | * @note This kernel stores VECTOR_SIZE or BOUNDARY_VECTOR_SIZE (if at boundary) elements |
SiCong Li | 315a20e | 2020-08-11 14:10:30 +0100 | [diff] [blame] | 1160 | * @note The vector size must be passed at compile time using -DVECTOR_SIZE: e.g. -DVECTOR_SIZE=2 |
| 1161 | * @note The boundary vector size must be passed at compile time using -DBOUNDARY_VECTOR_SIZE: e.g. -DBOUNDARY_VECTOR_SIZE=1 |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1162 | * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| 1163 | * @note The width of output tensor after matrix multiplication must be passed at compile time using -DCONVOLVED_WIDTH: e.g. -DCONVOLVED_WIDTH=34 |
| 1164 | * @note The kernel depth must be passed at compile time using -DSRC_DEPTH: e.g. -DSRC_DEPTH=3 |
| 1165 | * @note The stride along the Y direction must be passed at compile time using -DSTRIDE_Y: e.g. -DSTRIDE_Y=1 |
| 1166 | * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. |
| 1167 | * |
Sheri Zhang | 0de45d0 | 2020-04-17 14:59:13 +0100 | [diff] [blame] | 1168 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32 |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1169 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 1170 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 1171 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 1172 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1173 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1174 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 1175 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 1176 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 1177 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 1178 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 1179 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 1180 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1181 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 1182 | * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes). |
| 1183 | * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes). |
| 1184 | */ |
| 1185 | __kernel void im2col9x9_nhwc( |
| 1186 | TENSOR3D_DECLARATION(src), |
| 1187 | IMAGE_DECLARATION(dst), |
| 1188 | uint src_stride_w, |
| 1189 | uint dst_stride_w) |
| 1190 | { |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1191 | // input feature map, boundary-corrected (shift all non-boundary vectors by shift_amount) to avoid padding |
| 1192 | const int shift_amount = (int)VECTOR_SIZE - (int)BOUNDARY_VECTOR_SIZE; |
| 1193 | const int ch = max((int)(get_global_id(0) * VECTOR_SIZE) - shift_amount, 0); |
| 1194 | const int yo = get_global_id(1); |
| 1195 | const int batch = get_global_id(2); // batch size |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1196 | |
| 1197 | // Calculate input indices |
| 1198 | const int xi = (get_global_id(1) % CONVOLVED_WIDTH) * STRIDE_X; |
| 1199 | const int yi = (get_global_id(1) / (int)CONVOLVED_WIDTH) * STRIDE_Y; |
| 1200 | |
| 1201 | // Get input and output address |
| 1202 | __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + ch * sizeof(DATA_TYPE) + batch * (int)src_stride_w; |
| 1203 | __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + ch * sizeof(DATA_TYPE) + yo * (int)dst_stride_y + batch * (int)dst_stride_w; |
| 1204 | |
| 1205 | int yi_coord = 0; |
| 1206 | int8 offset0 = 0; |
| 1207 | int offset1 = 0; |
| 1208 | |
| 1209 | // Clamp xi |
| 1210 | int8 xi_offset0 = ((int8)xi + (int8)(0, 1, 2, 3, 4, 5, 6, 7) * DILATION_X - (int8)PAD_LEFT); |
| 1211 | int xi_offset1 = ((int)xi + (int)(8) * DILATION_X - (int)PAD_LEFT); |
| 1212 | |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1213 | #if PAD_LEFT != 0 || PAD_RIGHT != 0 |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1214 | #define CLAMP(x, min_val, max_val) min(max(x, min_val), max_val) |
| 1215 | xi_offset0 = CLAMP(xi_offset0, (int8)0, (int8)(SRC_WIDTH - 1)); |
| 1216 | xi_offset1 = CLAMP(xi_offset1, (int)0, (int)(SRC_WIDTH - 1)); |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1217 | #endif // PAD_LEFT != 0 || PAD_RIGHT != 0 |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1218 | xi_offset0 *= (int8)src_stride_y; |
| 1219 | xi_offset1 *= (int)src_stride_y; |
| 1220 | |
| 1221 | // Out-of-bound condition for X |
| 1222 | int8 x_cond0 = (((int8)xi + (int8)(0, 1, 2, 3, 4, 5, 6, 7) * DILATION_X - (int8)PAD_LEFT) < (int8)0) || (((int8)xi + (int8)(0, 1, 2, 3, 4, 5, 6, 7) * DILATION_X - (int8)PAD_LEFT) >= (int8)SRC_WIDTH); |
| 1223 | int x_cond1 = (((int)xi + (int)(8) * DILATION_X - (int)PAD_LEFT) < (int)0) || (((int)xi + (int)(8) * DILATION_X - (int)PAD_LEFT) >= (int)SRC_WIDTH); |
| 1224 | |
| 1225 | IM2COL1x9(0); |
| 1226 | IM2COL1x9(1); |
| 1227 | IM2COL1x9(2); |
| 1228 | IM2COL1x9(3); |
| 1229 | IM2COL1x9(4); |
| 1230 | IM2COL1x9(5); |
| 1231 | IM2COL1x9(6); |
| 1232 | IM2COL1x9(7); |
| 1233 | IM2COL1x9(8); |
| 1234 | |
| 1235 | #ifdef HAS_BIAS |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1236 | // We can use VECTOR_SIZE instead of BOUNDARY_VECTOR_SIZE even if it's at the boundary. This is because the bias is |
| 1237 | // added at the end of the channel, while the boundary vec is at the beginning of the channel. |
| 1238 | // The only case where the boundary vec is at the end of the channel is when there's only a single boundary vec in |
| 1239 | // the whole channel dimension, but in that case VECTOR_SIZE is also equal to BOUNDARY_VECTOR_SIZE |
| 1240 | // See the value of num_elems_processed_per_iteration in configure_opencl_kernel method in CLIm2ColKernel.cpp |
Gian Marco Iodice | bf9731e | 2018-12-12 10:18:04 +0000 | [diff] [blame] | 1241 | if((ch + VECTOR_SIZE) >= SRC_DEPTH) |
| 1242 | { |
| 1243 | *((__global DATA_TYPE *)(output_ptr) - ch + SRC_DEPTH * 81) = 1.0f; |
| 1244 | } |
| 1245 | #endif // HAS_BIAS |
| 1246 | } |
| 1247 | |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1248 | /** This opencl kernel performs a generic im2col implementation when the data layout is NHWC |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1249 | * |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1250 | * @note This kernel computes VECTOR_SIZE elements |
| 1251 | * @note This kernel stores VECTOR_SIZE or BOUNDARY_VECTOR_SIZE (if at boundary) elements |
SiCong Li | 315a20e | 2020-08-11 14:10:30 +0100 | [diff] [blame] | 1252 | * @note The vector size must be passed at compile time using -DVECTOR_SIZE: e.g. -DVECTOR_SIZE=2 |
| 1253 | * @note The boundary vector size must be passed at compile time using -DBOUNDARY_VECTOR_SIZE: e.g. -DBOUNDARY_VECTOR_SIZE=1 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1254 | * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| 1255 | * @note The width and height of the input tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT: e.g. -DSRC_WIDTH=128 and -DSRC_HEIGHT=128 |
| 1256 | * @note The width of output tensor after matrix multiplication must be passed at compile time using -DCONVOLVED_WIDTH: e.g. -DCONVOLVED_WIDTH=34 |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1257 | * @note The kernel width, height and depth must be passed at compile time using -DKERNEL_WIDTH, -DKERNEL_HEIGHT and -DSRC_DEPTH: e.g. -DKERNEL_WIDTH=3, -DKERNEL_HEIGHT=3 and -DSRC_DEPTH=64 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1258 | * @note The pad_left, pad_right, pad_top and pad_bottom must be passed at compile time using -DPAD_LEFT, -DPAD_RIGHT, -DPAD_TOP and -DPAD_BOTTOM: e.g. -DPAD_LEFT=1, -DPAD_RIGHT=2, -DPAD_TOP=3 and -DPAD_BOTTOM=2 |
| 1259 | * @note The zero value to store in case we load values out-of-bounds must be passed at compile time using -DPAD_VALUE: e.g. -DPAD_VALUE=0.0 |
| 1260 | * @note The stride along the X and Y directions must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y: e.g. -DSTRIDE_X=1 and -DSTRIDE_Y=1 |
Alex Gilday | 7da29b6 | 2018-03-23 14:16:00 +0000 | [diff] [blame] | 1261 | * @note The dilation_x and dilation_y must be passed at compile time using -DDILATION_X and -DDILATION_Y: e.g. -DDILATION_X=1, -DDILATION_Y=1 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1262 | * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. |
| 1263 | * |
Sheri Zhang | 0de45d0 | 2020-04-17 14:59:13 +0100 | [diff] [blame] | 1264 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32 |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1265 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 1266 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 1267 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 1268 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1269 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1270 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 1271 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 1272 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 1273 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 1274 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 1275 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 1276 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1277 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 1278 | * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes). |
| 1279 | * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes). |
| 1280 | */ |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1281 | __kernel void im2col_generic_nhwc( |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1282 | TENSOR3D_DECLARATION(src), |
| 1283 | IMAGE_DECLARATION(dst), |
| 1284 | uint src_stride_w, |
| 1285 | uint dst_stride_w) |
| 1286 | { |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1287 | // input feature map, boundary-corrected (shift all non-boundary vectors by shift_amount) to avoid padding |
| 1288 | const int shift_amount = (int)VECTOR_SIZE - (int)BOUNDARY_VECTOR_SIZE; |
| 1289 | const int ch = max((int)(get_global_id(0) * VECTOR_SIZE) - shift_amount, 0); |
| 1290 | const int yo = get_global_id(1); |
| 1291 | const int batch = get_global_id(2); // batch size |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1292 | |
| 1293 | // Calculate input indices |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1294 | const int xi = (get_global_id(1) % CONVOLVED_WIDTH) * STRIDE_X; |
| 1295 | const int yi = (get_global_id(1) / (int)CONVOLVED_WIDTH) * STRIDE_Y; |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1296 | |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1297 | // Get input and output address |
| 1298 | __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + ch * sizeof(DATA_TYPE) + batch * (int)src_stride_w; |
| 1299 | __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + ch * sizeof(DATA_TYPE) + yo * (int)dst_stride_y + batch * (int)dst_stride_w; |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1300 | |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1301 | int i = 0; |
Alex Gilday | 7da29b6 | 2018-03-23 14:16:00 +0000 | [diff] [blame] | 1302 | for(int yk = 0; yk < KERNEL_HEIGHT; ++yk) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1303 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1304 | // Clamp yi_coord |
| 1305 | int yi_coord = yi + yk * DILATION_Y - (int)PAD_TOP; |
| 1306 | yi_coord = CLAMP(yi_coord, (int)0, (int)(SRC_HEIGHT - 1)); |
| 1307 | |
| 1308 | // Out-of-bound condition for Y |
| 1309 | int y_border_condition = ((yi + yk * DILATION_Y - (int)PAD_TOP) < (int)0) || ((yi + yk * DILATION_Y - (int)PAD_TOP) >= (int)SRC_HEIGHT); |
| 1310 | |
| 1311 | for(int xk = 0; xk < KERNEL_WIDTH; ++xk) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1312 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1313 | // Clamp xi_coord |
| 1314 | int xi_coord = (xi + xk * DILATION_X - (int)PAD_LEFT); |
| 1315 | xi_coord = CLAMP(xi_coord, (int)0, (int)(SRC_WIDTH - 1)); |
| 1316 | |
| 1317 | // Out-of-bound condition for X |
| 1318 | int x_border_condition = ((xi + xk * DILATION_X - (int)PAD_LEFT) < (int)0) || ((xi + xk * DILATION_X - (int)PAD_LEFT) >= (int)SRC_WIDTH); |
| 1319 | |
| 1320 | int offset = xi_coord * (int)src_stride_y + (yi_coord * (int)src_stride_z); |
| 1321 | |
| 1322 | VECTOR_N values0 = VLOAD(VECTOR_SIZE)(0, (__global DATA_TYPE *)(input_ptr + offset)); |
| 1323 | |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1324 | #if PAD_LEFT != 0 || PAD_TOP != 0 || PAD_RIGHT != 0 || PAD_BOTTOM != 0 |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1325 | // Replace with PAD_VALUE if the value is out-of-bound |
SiCong Li | 03d8a89 | 2020-08-10 19:57:46 +0100 | [diff] [blame] | 1326 | values0 = select(values0, (VECTOR_N)PAD_VALUE, (COND_N)((COND_N)x_border_condition || (COND_N)(y_border_condition))); |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1327 | #endif // PAD_LEFT != 0 || PAD_TOP != 0 || PAD_RIGHT != 0 || PAD_BOTTOM != 0 |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1328 | |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1329 | // Store in a boundary-aware way to avoid padding |
| 1330 | #if BOUNDARY_VECTOR_SIZE != VECTOR_SIZE |
| 1331 | const bool at_channel_boundary = get_global_id(0) == 0; |
| 1332 | if(at_channel_boundary) |
| 1333 | { |
| 1334 | VSTORE_PARTIAL(VECTOR_SIZE, BOUNDARY_VECTOR_SIZE) |
| 1335 | (values0, 0, (__global DATA_TYPE *)(output_ptr) + i * (int)SRC_DEPTH); |
| 1336 | } |
| 1337 | else // at_channel_boundary |
| 1338 | #endif // BOUNDARY_VECTOR_SIZE != VECTOR_SIZE |
| 1339 | { |
| 1340 | VSTORE(VECTOR_SIZE) |
| 1341 | (values0, 0, (__global DATA_TYPE *)(output_ptr) + i * (int)SRC_DEPTH); |
| 1342 | } |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1343 | i++; |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1344 | } |
| 1345 | } |
| 1346 | |
| 1347 | #ifdef HAS_BIAS |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1348 | // We can use VECTOR_SIZE instead of BOUNDARY_VECTOR_SIZE even if it's at the boundary. This is because the bias is |
| 1349 | // added at the end of the channel, while the boundary vec is at the beginning of the channel. |
| 1350 | // The only case where the boundary vec is at the end of the channel is when there's only a single boundary vec in |
| 1351 | // the whole channel dimension, but in that case VECTOR_SIZE is also equal to BOUNDARY_VECTOR_SIZE |
| 1352 | // See the value of num_elems_processed_per_iteration in configure_opencl_kernel method in CLIm2ColKernel.cpp |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1353 | if((ch + VECTOR_SIZE) >= SRC_DEPTH) |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1354 | { |
Gian Marco Iodice | 215b4ea | 2018-06-28 16:29:29 +0100 | [diff] [blame] | 1355 | *((__global DATA_TYPE *)(output_ptr) - ch + SRC_DEPTH * KERNEL_WIDTH * KERNEL_HEIGHT) = 1.0f; |
Gian Marco | 76faef8 | 2018-01-29 12:15:32 +0000 | [diff] [blame] | 1356 | } |
| 1357 | #endif // HAS_BIAS |
| 1358 | } |
SiCong Li | f650ea5 | 2020-08-05 15:04:00 +0100 | [diff] [blame] | 1359 | #endif // defined(CONVOLVED_WIDTH) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(STRIDE_X) && defined(STRIDE_Y) && defined(KERNEL_WIDTH) && defined(KERNEL_HEIGHT) && defined(SRC_DEPTH) && defined(PAD_LEFT) && defined(PAD_RIGHT) && defined(PAD_TOP) && defined(PAD_BOTTOM) && defined(PAD_VALUE) && defined(VECTOR_SIZE) && defined(BOUNDARY_VECTOR_SIZE) |
Pablo Tello | 4a626a7 | 2018-04-04 10:01:14 +0100 | [diff] [blame] | 1360 | #endif // defined(DATA_TYPE) && defined(ELEMENT_SIZE) |