Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 1 | /* |
giuros01 | 6d10996 | 2019-01-07 17:47:19 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2019 ARM Limited. |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | |
| 25 | #include "helpers.h" |
| 26 | |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 27 | #if defined(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 28 | #if defined(CONV_STRIDE_X) |
| 29 | |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 30 | #if CONV_STRIDE_X == 1 |
| 31 | #define convolution1x3 convolution1x3_stride_1 |
| 32 | #elif CONV_STRIDE_X == 2 |
| 33 | #define convolution1x3 convolution1x3_stride_2 |
| 34 | #elif CONV_STRIDE_X == 3 |
| 35 | #define convolution1x3 convolution1x3_stride_3 |
| 36 | #else /* CONV_STRIDE_X */ |
| 37 | #error "Stride not supported" |
| 38 | #endif /* CONV_STRIDE_X */ |
| 39 | |
| 40 | /** Compute a 1D horizontal convolution of size 3 and stride 1 for floating point type. |
| 41 | * |
| 42 | * @param[in] left_pixel Pointer to the left pixel. |
| 43 | * @param[in] left_coeff Weight of the left pixel |
| 44 | * @param[in] middle_coeff Weight of the middle pixel |
| 45 | * @param[in] right_coeff Weight of the right pixel |
| 46 | * |
| 47 | * @return a float2 containing 2 convoluted values. |
| 48 | */ |
| 49 | inline float2 convolution1x3_stride_1(__global const uchar *left_pixel, |
| 50 | const float left_coeff, |
| 51 | const float middle_coeff, |
| 52 | const float right_coeff) |
| 53 | { |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 54 | #if(DILATION_X == 1 && DILATION_Y == 1) |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 55 | float4 temp = vload4(0, (__global float *)left_pixel); |
| 56 | |
| 57 | float2 left = CONVERT(temp.s01, float2); |
| 58 | float2 middle = CONVERT(temp.s12, float2); |
| 59 | float2 right = CONVERT(temp.s23, float2); |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 60 | return left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff; |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 61 | #else /* DILATION_X==1 && DILATION_Y==1 */ |
| 62 | return vload2(0, (__global float *)left_pixel) * (float2)left_coeff |
| 63 | + vload2(0, (__global float *)(left_pixel) + DILATION_X) * (float2)middle_coeff |
| 64 | + vload2(0, (__global float *)(left_pixel) + 2 * DILATION_X) * (float2)right_coeff; |
| 65 | #endif /* DILATION_X==1 && DILATION_Y==1 */ |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 66 | } |
| 67 | |
| 68 | /** Compute a 1D horizontal convolution of size 3 and stride 2 for floating point type. |
| 69 | * |
| 70 | * @param[in] left_pixel Pointer to the left pixel. |
| 71 | * @param[in] left_coeff Weight of the left pixel |
| 72 | * @param[in] middle_coeff Weight of the middle pixel |
| 73 | * @param[in] right_coeff Weight of the right pixel |
| 74 | * |
| 75 | * @return a float2 containing 2 convoluted values. |
| 76 | */ |
| 77 | inline float2 convolution1x3_stride_2(__global const uchar *left_pixel, |
| 78 | const float left_coeff, |
| 79 | const float middle_coeff, |
| 80 | const float right_coeff) |
| 81 | { |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 82 | #if(DILATION_X == 1 && DILATION_Y == 1) |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 83 | float4 temp0 = vload4(0, (__global float *)left_pixel); |
| 84 | float temp1 = *((__global float *)(left_pixel + 4 * sizeof(float))); |
| 85 | |
| 86 | float2 left = CONVERT(temp0.s02, float2); |
| 87 | float2 middle = CONVERT(temp0.s13, float2); |
| 88 | float2 right = CONVERT((float2)(temp0.s2, temp1), float2); |
| 89 | |
| 90 | return left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff; |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 91 | #else /* DILATION_X==1 && DILATION_Y==1 */ |
| 92 | __global float *left_pixel_float = (__global float *)left_pixel; |
| 93 | |
| 94 | return vload4(0, left_pixel_float).s02 * (float2)left_coeff |
| 95 | + vload4(0, left_pixel_float + DILATION_X).s02 * (float2)middle_coeff |
| 96 | + vload4(0, left_pixel_float + DILATION_X * 2).s02 * (float2)right_coeff; |
| 97 | |
| 98 | #endif /* DILATION_X==1 && DILATION_Y==1 */ |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 99 | } |
| 100 | |
| 101 | /** Compute a 1D horizontal convolution of size 3 and stride 3 for floating point type. |
| 102 | * |
| 103 | * @param[in] left_pixel Pointer to the left pixel. |
| 104 | * @param[in] left_coeff Weight of the left pixel |
| 105 | * @param[in] middle_coeff Weight of the middle pixel |
| 106 | * @param[in] right_coeff Weight of the right pixel |
| 107 | * |
| 108 | * @return a float2 containing 2 convoluted values. |
| 109 | */ |
| 110 | inline float2 convolution1x3_stride_3(__global const uchar *left_pixel, |
| 111 | const float left_coeff, |
| 112 | const float middle_coeff, |
| 113 | const float right_coeff) |
| 114 | { |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 115 | #if(DILATION_X == 1 && DILATION_Y == 1) |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 116 | float4 temp0 = vload4(0, (__global float *)left_pixel); |
| 117 | float2 temp1 = vload2(0, (__global float *)(left_pixel + 4 * sizeof(float))); |
| 118 | |
| 119 | float2 left = CONVERT(temp0.s03, float2); |
| 120 | float2 middle = CONVERT((float2)(temp0.s1, temp1.s0), float2); |
| 121 | float2 right = CONVERT((float2)(temp0.s2, temp1.s1), float2); |
| 122 | |
| 123 | return left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff; |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 124 | #else /* DILATION_X==1 && DILATION_Y==1 */ |
| 125 | __global float *left_pixel_float = (__global float *)left_pixel; |
| 126 | |
| 127 | return (float2)(*left_pixel_float, *(left_pixel_float + 3)) * (float2)left_coeff |
| 128 | + (float2)(*(left_pixel_float + DILATION_X), *(left_pixel_float + DILATION_X + 3)) * (float2)middle_coeff |
| 129 | + (float2)(*(left_pixel_float + DILATION_X * 2), *(left_pixel_float + DILATION_X * 2 + 3)) * (float2)right_coeff; |
| 130 | #endif /* DILATION_X==1 && DILATION_Y==1 */ |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 131 | } |
| 132 | |
| 133 | /** Apply a 3x3 convolution matrix to a single channel F32 input image and return the result. |
| 134 | * |
| 135 | * Convolution matrix layout: |
| 136 | * |
| 137 | * [ mat0, mat1, mat2 ]\n |
| 138 | * [ mat3, mat4, mat5 ]\n |
| 139 | * [ mat6, mat7, mat8 ]\n |
| 140 | * |
| 141 | * @param[in] src A pointer to source Image structure |
| 142 | * @param[in] mat0 Coefficient from the convolution matrix |
| 143 | * @param[in] mat1 Coefficient from the convolution matrix |
| 144 | * @param[in] mat2 Coefficient from the convolution matrix |
| 145 | * @param[in] mat3 Coefficient from the convolution matrix |
| 146 | * @param[in] mat4 Coefficient from the convolution matrix |
| 147 | * @param[in] mat5 Coefficient from the convolution matrix |
| 148 | * @param[in] mat6 Coefficient from the convolution matrix |
| 149 | * @param[in] mat0 Coefficient from the convolution matrix |
| 150 | * @param[in] mat7 Coefficient from the convolution matrix |
| 151 | * @param[in] mat8 Coefficient from the convolution matrix |
| 152 | * |
| 153 | * @return a float2 containing 2 convoluted values. |
| 154 | */ |
| 155 | inline float2 convolution3x3( |
| 156 | Image *src, |
| 157 | const float mat0, const float mat1, const float mat2, |
| 158 | const float mat3, const float mat4, const float mat5, |
| 159 | const float mat6, const float mat7, const float mat8) |
| 160 | { |
| 161 | float2 pixels; |
| 162 | |
| 163 | pixels = convolution1x3(offset(src, 0, 0), mat0, mat1, mat2); |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 164 | pixels += convolution1x3(offset(src, 0, DILATION_Y), mat3, mat4, mat5); |
| 165 | pixels += convolution1x3(offset(src, 0, DILATION_Y * 2), mat6, mat7, mat8); |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 166 | |
| 167 | return pixels; |
| 168 | } |
| 169 | |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 170 | /** This OpenCL kernel computes the depthwise convolution 3x3 |
Anthony Barbier | f202e50 | 2017-11-23 18:02:04 +0000 | [diff] [blame] | 171 | * |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 172 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 |
| 173 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
Anthony Barbier | f202e50 | 2017-11-23 18:02:04 +0000 | [diff] [blame] | 174 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 175 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
Anthony Barbier | f202e50 | 2017-11-23 18:02:04 +0000 | [diff] [blame] | 176 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 177 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
Anthony Barbier | f202e50 | 2017-11-23 18:02:04 +0000 | [diff] [blame] | 178 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 179 | * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 180 | * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: F32 |
Anthony Barbier | f202e50 | 2017-11-23 18:02:04 +0000 | [diff] [blame] | 181 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 182 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 183 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 184 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 185 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 186 | * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) |
| 187 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 188 | * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: F32 |
Anthony Barbier | f202e50 | 2017-11-23 18:02:04 +0000 | [diff] [blame] | 189 | * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| 190 | * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| 191 | * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| 192 | * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) |
| 193 | * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| 194 | * @param[in] weights_step_z weights_stride_z * number of elements along Y processed per workitem(in bytes) |
| 195 | * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the biases vector |
| 196 | * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: F16/F32 |
| 197 | * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) |
| 198 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 199 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector |
| 200 | */ |
Georgios Pinitas | 81a26ad | 2017-10-23 20:29:30 +0100 | [diff] [blame] | 201 | __kernel void depthwise_convolution_3x3( |
| 202 | TENSOR3D_DECLARATION(src), |
| 203 | TENSOR3D_DECLARATION(dst), |
| 204 | TENSOR3D_DECLARATION(weights) |
| 205 | #if defined(HAS_BIAS) |
| 206 | , |
| 207 | VECTOR_DECLARATION(biases) |
| 208 | #endif //defined(HAS_BIAS) |
| 209 | ) |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 210 | { |
| 211 | Image src = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src); |
| 212 | Image dst = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst); |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 213 | Tensor3D weights = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
Georgios Pinitas | 81a26ad | 2017-10-23 20:29:30 +0100 | [diff] [blame] | 214 | #if defined(HAS_BIAS) |
| 215 | Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| 216 | #endif //defined(HAS_BIAS) |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 217 | |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 218 | // Extract channel and linearized batch indices |
| 219 | const int channel = get_global_id(2) % DST_CHANNELS; |
| 220 | const int batch = get_global_id(2) / DST_CHANNELS; |
| 221 | // Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER) |
| 222 | src.ptr -= batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z + (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z; |
| 223 | __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z; |
Giorgio Arena | 7657224 | 2018-04-04 17:44:26 +0100 | [diff] [blame] | 224 | |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 225 | uchar3 offset = (uchar3)(0, 1, 2) * (uchar3)weights_stride_y; |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 226 | float3 weights_values0 = vload3(0, (__global float *)(weights_addr + offset.s0)); |
| 227 | float3 weights_values1 = vload3(0, (__global float *)(weights_addr + offset.s1)); |
| 228 | float3 weights_values2 = vload3(0, (__global float *)(weights_addr + offset.s2)); |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 229 | |
| 230 | float2 pixels = convolution3x3(&src, weights_values0.s0, weights_values0.s1, weights_values0.s2, |
| 231 | weights_values1.s0, weights_values1.s1, weights_values1.s2, |
| 232 | weights_values2.s0, weights_values2.s1, weights_values2.s2); |
Georgios Pinitas | 81a26ad | 2017-10-23 20:29:30 +0100 | [diff] [blame] | 233 | #if defined(HAS_BIAS) |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 234 | pixels += (float2)(*((__global float *)(biases.ptr + channel * biases_stride_x))); |
Georgios Pinitas | 81a26ad | 2017-10-23 20:29:30 +0100 | [diff] [blame] | 235 | #endif //defined(HAS_BIAS) |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 236 | |
| 237 | vstore2(pixels, 0, (__global float *)dst.ptr); |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 238 | } |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 239 | #endif //defined(CONV_STRIDE_X) |
| 240 | |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 241 | #if(DILATION_X == 1 && DILATION_Y == 1) |
| 242 | |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 243 | #define CONVOLUTION1x3_BIFROST2X1_STRIDE1(acc, src0, weights_row0) \ |
| 244 | ({ \ |
| 245 | acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \ |
| 246 | acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \ |
| 247 | acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \ |
| 248 | acc.s1 = fma(src0.s1, weights_row0.s0, acc.s1); \ |
| 249 | acc.s1 = fma(src0.s2, weights_row0.s1, acc.s1); \ |
| 250 | acc.s1 = fma(src0.s3, weights_row0.s2, acc.s1); \ |
| 251 | }) |
| 252 | |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 253 | #define CONVOLUTION1x3_BIFROST4X1_STRIDE1(acc, src0, weights_row0) \ |
| 254 | ({ \ |
| 255 | acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \ |
| 256 | acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \ |
| 257 | acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \ |
| 258 | acc.s1 = fma(src0.s1, weights_row0.s0, acc.s1); \ |
| 259 | acc.s1 = fma(src0.s2, weights_row0.s1, acc.s1); \ |
| 260 | acc.s1 = fma(src0.s3, weights_row0.s2, acc.s1); \ |
| 261 | acc.s2 = fma(src0.s2, weights_row0.s0, acc.s2); \ |
| 262 | acc.s2 = fma(src0.s3, weights_row0.s1, acc.s2); \ |
| 263 | acc.s2 = fma(src0.s4, weights_row0.s2, acc.s2); \ |
| 264 | acc.s3 = fma(src0.s3, weights_row0.s0, acc.s3); \ |
| 265 | acc.s3 = fma(src0.s4, weights_row0.s1, acc.s3); \ |
| 266 | acc.s3 = fma(src0.s5, weights_row0.s2, acc.s3); \ |
| 267 | }) |
| 268 | |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 269 | #define CONVOLUTION1x3_BIFROST2X1_STRIDE2(acc, src0, src1, weights_row0) \ |
| 270 | ({ \ |
| 271 | acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \ |
| 272 | acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \ |
| 273 | acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \ |
| 274 | acc.s1 = fma(src0.s2, weights_row0.s0, acc.s1); \ |
| 275 | acc.s1 = fma(src0.s3, weights_row0.s1, acc.s1); \ |
| 276 | acc.s1 = fma(src1.s0, weights_row0.s2, acc.s1); \ |
| 277 | }) |
| 278 | |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 279 | #define CONVOLUTION1x3_BIFROST4X1_STRIDE2(acc, src0, src1, weights_row0) \ |
| 280 | ({ \ |
| 281 | acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \ |
| 282 | acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \ |
| 283 | acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \ |
| 284 | acc.s1 = fma(src0.s2, weights_row0.s0, acc.s1); \ |
| 285 | acc.s1 = fma(src0.s3, weights_row0.s1, acc.s1); \ |
| 286 | acc.s1 = fma(src0.s4, weights_row0.s2, acc.s1); \ |
| 287 | acc.s2 = fma(src0.s4, weights_row0.s0, acc.s2); \ |
| 288 | acc.s2 = fma(src0.s5, weights_row0.s1, acc.s2); \ |
| 289 | acc.s2 = fma(src0.s6, weights_row0.s2, acc.s2); \ |
| 290 | acc.s3 = fma(src0.s6, weights_row0.s0, acc.s3); \ |
| 291 | acc.s3 = fma(src0.s7, weights_row0.s1, acc.s3); \ |
| 292 | acc.s3 = fma(src1.s0, weights_row0.s2, acc.s3); \ |
| 293 | }) |
| 294 | |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 295 | #else /* DILATION_X==1 && DILATION_Y==1 */ |
| 296 | |
| 297 | #define CONVOLUTION1x3_BIFROST2X1_STRIDE1(acc, src0_left, src0_mid, src0_right, weights_row0) \ |
| 298 | ({ \ |
| 299 | acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \ |
| 300 | acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \ |
| 301 | acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \ |
| 302 | acc.s1 = fma(src0_left.s1, weights_row0.s0, acc.s1); \ |
| 303 | acc.s1 = fma(src0_mid.s1, weights_row0.s1, acc.s1); \ |
| 304 | acc.s1 = fma(src0_right.s1, weights_row0.s2, acc.s1); \ |
| 305 | }) |
| 306 | |
| 307 | #define CONVOLUTION1x3_BIFROST2X1_STRIDE2(acc, src0_left, src0_mid, src0_right, weights_row0) \ |
| 308 | ({ \ |
| 309 | acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \ |
| 310 | acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \ |
| 311 | acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \ |
| 312 | acc.s1 = fma(src0_left.s2, weights_row0.s0, acc.s1); \ |
| 313 | acc.s1 = fma(src0_mid.s2, weights_row0.s1, acc.s1); \ |
| 314 | acc.s1 = fma(src0_right.s2, weights_row0.s2, acc.s1); \ |
| 315 | }) |
| 316 | |
| 317 | #define CONVOLUTION1x3_BIFROST4X1_STRIDE1(acc, src0_left, src0_mid, src0_right, weights_row0) \ |
| 318 | ({ \ |
| 319 | acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \ |
| 320 | acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \ |
| 321 | acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \ |
| 322 | acc.s1 = fma(src0_left.s1, weights_row0.s0, acc.s1); \ |
| 323 | acc.s1 = fma(src0_mid.s1, weights_row0.s1, acc.s1); \ |
| 324 | acc.s1 = fma(src0_right.s1, weights_row0.s2, acc.s1); \ |
| 325 | acc.s2 = fma(src0_left.s2, weights_row0.s0, acc.s2); \ |
| 326 | acc.s2 = fma(src0_mid.s2, weights_row0.s1, acc.s2); \ |
| 327 | acc.s2 = fma(src0_right.s2, weights_row0.s2, acc.s2); \ |
| 328 | acc.s3 = fma(src0_left.s3, weights_row0.s0, acc.s3); \ |
| 329 | acc.s3 = fma(src0_mid.s3, weights_row0.s1, acc.s3); \ |
| 330 | acc.s3 = fma(src0_right.s3, weights_row0.s2, acc.s3); \ |
| 331 | }) |
| 332 | |
| 333 | #define CONVOLUTION1x3_BIFROST4X1_STRIDE2(acc, src0_left, src0_mid, src0_right, weights_row0) \ |
| 334 | ({ \ |
| 335 | acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \ |
| 336 | acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \ |
| 337 | acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \ |
| 338 | acc.s1 = fma(src0_left.s2, weights_row0.s0, acc.s1); \ |
| 339 | acc.s1 = fma(src0_mid.s2, weights_row0.s1, acc.s1); \ |
| 340 | acc.s1 = fma(src0_right.s2, weights_row0.s2, acc.s1); \ |
| 341 | acc.s2 = fma(src0_left.s4, weights_row0.s0, acc.s2); \ |
| 342 | acc.s2 = fma(src0_mid.s4, weights_row0.s1, acc.s2); \ |
| 343 | acc.s2 = fma(src0_right.s4, weights_row0.s2, acc.s2); \ |
| 344 | acc.s3 = fma(src0_left.s6, weights_row0.s0, acc.s3); \ |
| 345 | acc.s3 = fma(src0_mid.s6, weights_row0.s1, acc.s3); \ |
| 346 | acc.s3 = fma(src0_right.s6, weights_row0.s2, acc.s3); \ |
| 347 | }) |
| 348 | |
| 349 | /** Get the pointer position at a certain offset in x and y direction. |
| 350 | * |
| 351 | * @param[in] ptr Pointer to the starting position of the buffer |
| 352 | * @param[in] x Relative X position |
| 353 | * @param[in] y Relative Y position |
| 354 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 355 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 356 | */ |
| 357 | inline __global uchar *ptr_offset(__global uchar *ptr, const int x, const int y, const int stride_x, const int stride_y) |
| 358 | { |
| 359 | return ptr + x * stride_x + y * stride_y; |
| 360 | } |
| 361 | |
| 362 | /** Perform 3x3 convolution for stride_x=1 and stride_y=1 when DILATION_X>1 and DILATION_Y>1 for F32 |
| 363 | * |
| 364 | * @param[in] src_addr Pointer to the starting position of where to perform the convolution |
| 365 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 366 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 367 | * @param[in] y_offset Offset from the source tensor from which to start convolution |
| 368 | * @param[in] weights_addr Pointer from where to get weights |
| 369 | * @param[in] weights_stride_y Stride of weights tesnsor in Y dimension |
| 370 | */ |
| 371 | inline float2 convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(__global uchar *src_addr, const int stride_x_bytes, const int stride_y_bytes, |
| 372 | const int y_offset, __global uchar *weights_addr, const int weights_stride_y) |
| 373 | { |
| 374 | // Load the weights |
| 375 | float3 weights_row0 = vload3(0, (__global float *)(weights_addr + 0 * weights_stride_y)); |
| 376 | float3 weights_row1 = vload3(0, (__global float *)(weights_addr + 1 * weights_stride_y)); |
| 377 | float3 weights_row2 = vload3(0, (__global float *)(weights_addr + 2 * weights_stride_y)); |
| 378 | |
| 379 | float2 pixels0 = 0.0f; |
| 380 | |
| 381 | float2 src00_left = vload2(0, (__global float *)ptr_offset(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); // Row0 |
| 382 | float2 src00_mid = vload2(0, (__global float *)ptr_offset(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); |
| 383 | float2 src00_right = vload2(0, (__global float *)ptr_offset(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); |
| 384 | |
| 385 | float2 src10_left = vload2(0, (__global float *)ptr_offset(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); // Row1 |
| 386 | float2 src10_mid = vload2(0, (__global float *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); |
| 387 | float2 src10_right = vload2(0, (__global float *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); |
| 388 | |
| 389 | float2 src20_left = vload2(0, (__global float *)ptr_offset(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); // Row2 |
| 390 | float2 src20_mid = vload2(0, (__global float *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); |
| 391 | float2 src20_right = vload2(0, (__global float *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); |
| 392 | |
| 393 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels0, src00_left, src00_mid, src00_right, weights_row0); |
| 394 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels0, src10_left, src10_mid, src10_right, weights_row1); |
| 395 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels0, src20_left, src20_mid, src20_right, weights_row2); |
| 396 | |
| 397 | return pixels0; |
| 398 | } |
| 399 | |
| 400 | /** Perform 3x3 convolution for stride_x=2 and stride_y=2 when DILATION_X>1 and DILATION_Y>1 for F32 |
| 401 | * |
| 402 | * @param[in] src_addr Pointer to the starting position of where to perform the convolution |
| 403 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 404 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 405 | * @param[in] y_offset Offset from the source tensor from which to start convolution |
| 406 | * @param[in] weights_addr Pointer from where to get weights |
| 407 | * @param[in] weights_stride_y Stride of weights tesnsor in Y dimension |
| 408 | */ |
| 409 | inline float2 convolution_3x3_dilation_stridex2_stridey2_bifrost_f32(__global uchar *src_addr, const int stride_x_bytes, const int stride_y_bytes, |
| 410 | const int y_offset, __global uchar *weights_addr, const int weights_stride_y) |
| 411 | { |
| 412 | // Load the weights |
| 413 | float3 weights_row0 = vload3(0, (__global float *)(weights_addr + 0 * weights_stride_y)); |
| 414 | float3 weights_row1 = vload3(0, (__global float *)(weights_addr + 1 * weights_stride_y)); |
| 415 | float3 weights_row2 = vload3(0, (__global float *)(weights_addr + 2 * weights_stride_y)); |
| 416 | |
| 417 | float2 pixels0 = 0.0f; |
| 418 | |
| 419 | float3 src00_left = vload3(0, (__global float *)ptr_offset(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); // Row0 |
| 420 | float3 src00_mid = vload3(0, (__global float *)ptr_offset(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); |
| 421 | float3 src00_right = vload3(0, (__global float *)ptr_offset(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); |
| 422 | |
| 423 | float3 src10_left = vload3(0, (__global float *)ptr_offset(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); // Row1 |
| 424 | float3 src10_mid = vload3(0, (__global float *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); |
| 425 | float3 src10_right = vload3(0, (__global float *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); |
| 426 | |
| 427 | float3 src20_left = vload3(0, (__global float *)ptr_offset(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); // Row2 |
| 428 | float3 src20_mid = vload3(0, (__global float *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); |
| 429 | float3 src20_right = vload3(0, (__global float *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); |
| 430 | |
| 431 | CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels0, src00_left, src00_mid, src00_right, weights_row0); |
| 432 | CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels0, src10_left, src10_mid, src10_right, weights_row1); |
| 433 | CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels0, src20_left, src20_mid, src20_right, weights_row2); |
| 434 | |
| 435 | return pixels0; |
| 436 | } |
| 437 | |
| 438 | /** Perform 3x3 convolution for stride_x=1 and stride_y=1 when DILATION_X>1 and DILATION_Y>1 for f16 |
| 439 | * |
| 440 | * @param[in] src_addr Pointer to the starting position of where to perform the convolution |
| 441 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 442 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 443 | * @param[in] y_offset Offset from the source tensor from which to start convolution |
| 444 | * @param[in] weights_addr Pointer from where to get weights |
| 445 | * @param[in] weights_stride_y Stride of weights tesnsor in Y dimension |
| 446 | */ |
| 447 | inline half4 convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(__global uchar *src_addr, const int stride_x_bytes, const int stride_y_bytes, |
| 448 | const int y_offset, __global uchar *weights_addr, const int weights_stride_y) |
| 449 | { |
| 450 | // Load the weights |
| 451 | half3 weights_row0 = vload3(0, (__global half *)(weights_addr + 0 * weights_stride_y)); |
| 452 | half3 weights_row1 = vload3(0, (__global half *)(weights_addr + 1 * weights_stride_y)); |
| 453 | half3 weights_row2 = vload3(0, (__global half *)(weights_addr + 2 * weights_stride_y)); |
| 454 | |
| 455 | half4 pixels0 = 0.0f; |
| 456 | |
| 457 | half4 src00_left = vload4(0, (__global half *)ptr_offset(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); // Row0 |
| 458 | half4 src00_mid = vload4(0, (__global half *)ptr_offset(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); |
| 459 | half4 src00_right = vload4(0, (__global half *)ptr_offset(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); |
| 460 | |
| 461 | half4 src10_left = vload4(0, (__global half *)ptr_offset(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); // Row1 |
| 462 | half4 src10_mid = vload4(0, (__global half *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); |
| 463 | half4 src10_right = vload4(0, (__global half *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); |
| 464 | |
| 465 | half4 src20_left = vload4(0, (__global half *)ptr_offset(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); // Row2 |
| 466 | half4 src20_mid = vload4(0, (__global half *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); |
| 467 | half4 src20_right = vload4(0, (__global half *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); |
| 468 | |
| 469 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels0, src00_left, src00_mid, src00_right, weights_row0); |
| 470 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels0, src10_left, src10_mid, src10_right, weights_row1); |
| 471 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels0, src20_left, src20_mid, src20_right, weights_row2); |
| 472 | |
| 473 | return pixels0; |
| 474 | } |
| 475 | |
| 476 | /** Perform 3x3 convolution for stride_x=2 and stride_y=2 when DILATION_X>1 and DILATION_Y>1 for F16 |
| 477 | * |
| 478 | * @param[in] src_addr Pointer to the starting position of where to perform the convolution |
| 479 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 480 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 481 | * @param[in] y_offset Offset from the source tensor from which to start convolution |
| 482 | * @param[in] weights_addr Pointer from where to get weights |
| 483 | * @param[in] weights_stride_y Stride of weights tesnsor in Y dimension |
| 484 | */ |
| 485 | inline half4 convolution_3x3_dilation_stridex2_stridey2_bifrost_f16(__global uchar *src_addr, const int stride_x_bytes, const int stride_y_bytes, |
| 486 | const int y_offset, __global uchar *weights_addr, const int weights_stride_y) |
| 487 | { |
| 488 | // Load the weights |
| 489 | half3 weights_row0 = vload3(0, (__global half *)(weights_addr + 0 * weights_stride_y)); |
| 490 | half3 weights_row1 = vload3(0, (__global half *)(weights_addr + 1 * weights_stride_y)); |
| 491 | half3 weights_row2 = vload3(0, (__global half *)(weights_addr + 2 * weights_stride_y)); |
| 492 | |
| 493 | half4 pixels0 = 0.0f; |
| 494 | |
| 495 | half8 src00_left = vload8(0, (__global half *)ptr_offset(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); // Row0 |
| 496 | half8 src00_mid = vload8(0, (__global half *)ptr_offset(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); |
| 497 | half8 src00_right = vload8(0, (__global half *)ptr_offset(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); |
| 498 | |
| 499 | half8 src10_left = vload8(0, (__global half *)ptr_offset(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); // Row1 |
| 500 | half8 src10_mid = vload8(0, (__global half *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); |
| 501 | half8 src10_right = vload8(0, (__global half *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); |
| 502 | |
| 503 | half8 src20_left = vload8(0, (__global half *)ptr_offset(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); // Row2 |
| 504 | half8 src20_mid = vload8(0, (__global half *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); |
| 505 | half8 src20_right = vload8(0, (__global half *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); |
| 506 | |
| 507 | CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels0, src00_left, src00_mid, src00_right, weights_row0); |
| 508 | CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels0, src10_left, src10_mid, src10_right, weights_row1); |
| 509 | CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels0, src20_left, src20_mid, src20_right, weights_row2); |
| 510 | |
| 511 | return pixels0; |
| 512 | } |
| 513 | |
| 514 | #endif /* DILATION_X==1 && DILATION_Y==1 */ |
| 515 | |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 516 | /** This OpenCL kernel is optimized for Bifrost architectures and computes the depthwise convolution 3x3 when both |
| 517 | * stride_x and stride_y are equal to 1 |
| 518 | * |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 519 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 |
| 520 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 521 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 522 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 523 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 524 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 525 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 526 | * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) |
| 527 | * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: F32 |
| 528 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 529 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 530 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 531 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 532 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 533 | * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) |
| 534 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 535 | * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: F32 |
| 536 | * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| 537 | * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| 538 | * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| 539 | * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) |
| 540 | * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| 541 | * @param[in] weights_step_z weights_stride_z * number of elements along Y processed per workitem(in bytes) |
| 542 | * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the biases vector |
| 543 | * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: F32 |
| 544 | * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) |
| 545 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 546 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector |
| 547 | */ |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 548 | __kernel void depthwise_convolution_3x3_stridex1_stridey1_bifrost_f32( |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 549 | TENSOR3D_DECLARATION(src), |
| 550 | TENSOR3D_DECLARATION(dst), |
| 551 | TENSOR3D_DECLARATION(weights) |
| 552 | #if defined(HAS_BIAS) |
| 553 | , |
| 554 | VECTOR_DECLARATION(biases) |
| 555 | #endif //defined(HAS_BIAS) |
| 556 | ) |
| 557 | { |
| 558 | Image src = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src); |
| 559 | Image dst = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst); |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 560 | Tensor3D weights = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 561 | |
| 562 | float2 pixels0 = 0.0f; |
| 563 | float2 pixels1 = 0.0f; |
| 564 | float2 pixels2 = 0.0f; |
| 565 | float2 pixels3 = 0.0f; |
| 566 | |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 567 | // Extract channel and linearized batch indices |
| 568 | const int channel = get_global_id(2) % DST_CHANNELS; |
| 569 | const int batch = get_global_id(2) / DST_CHANNELS; |
| 570 | // Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER) |
| 571 | __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z; |
| 572 | __global uchar *src_addr = src.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z; |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 573 | |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 574 | #if(DILATION_X == 1 && DILATION_Y == 1) |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 575 | // Load the weights |
| 576 | float3 weights_row0 = vload3(0, (__global float *)(weights_addr + 0 * weights_stride_y)); |
| 577 | float3 weights_row1 = vload3(0, (__global float *)(weights_addr + 1 * weights_stride_y)); |
| 578 | float3 weights_row2 = vload3(0, (__global float *)(weights_addr + 2 * weights_stride_y)); |
| 579 | |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 580 | // Note: Since each work-item computes 4x2 elements, we need to load 6 rows from the input tensor |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 581 | float4 src00 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y)); // Row0 |
| 582 | float4 src10 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y)); // Row1 |
| 583 | float4 src20 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y)); // Row2 |
| 584 | float4 src30 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y)); // Row3 |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 585 | float4 src40 = vload4(0, (__global float *)(src_addr + 4 * src_stride_y)); // Row4 |
| 586 | float4 src50 = vload4(0, (__global float *)(src_addr + 5 * src_stride_y)); // Row5 |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 587 | |
| 588 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels0, src00, weights_row0); |
| 589 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels0, src10, weights_row1); |
| 590 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels0, src20, weights_row2); |
| 591 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels1, src10, weights_row0); |
| 592 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels1, src20, weights_row1); |
| 593 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels1, src30, weights_row2); |
| 594 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels2, src20, weights_row0); |
| 595 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels2, src30, weights_row1); |
| 596 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels2, src40, weights_row2); |
| 597 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels3, src30, weights_row0); |
| 598 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels3, src40, weights_row1); |
| 599 | CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels3, src50, weights_row2); |
| 600 | |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 601 | #else /* DILATION_X==1 && DILATION_Y==1 */ |
| 602 | |
| 603 | //3x3 Convolution of elements starting in 0th row |
| 604 | pixels0 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, src.stride_x, src.stride_y, 0, weights_addr, weights_stride_y); |
| 605 | //3x3 Convolution of elements starting in 1st row |
| 606 | pixels1 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, src.stride_x, src.stride_y, 1, weights_addr, weights_stride_y); |
| 607 | //3x3 Convolution of elements starting in 2nd row |
| 608 | pixels2 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, src.stride_x, src.stride_y, 2, weights_addr, weights_stride_y); |
| 609 | //3x3 Convolution of elements starting in 3rd row |
| 610 | pixels3 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, src.stride_x, src.stride_y, 3, weights_addr, weights_stride_y); |
| 611 | |
| 612 | #endif /* DILATION_X==1 && DILATION_Y==1 */ |
| 613 | |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 614 | #ifdef HAS_BIAS |
| 615 | Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| 616 | |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 617 | float bias = *((__global float *)(vector_offset(&biases, channel))); |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 618 | |
| 619 | pixels0 += (float2)bias; |
| 620 | pixels1 += (float2)bias; |
| 621 | pixels2 += (float2)bias; |
| 622 | pixels3 += (float2)bias; |
| 623 | #endif /* defined(HAS_BIAS) */ |
| 624 | |
| 625 | vstore2(pixels0, 0, (__global float *)(dst.ptr + 0 * dst_stride_y)); |
| 626 | vstore2(pixels1, 0, (__global float *)(dst.ptr + 1 * dst_stride_y)); |
| 627 | vstore2(pixels2, 0, (__global float *)(dst.ptr + 2 * dst_stride_y)); |
| 628 | vstore2(pixels3, 0, (__global float *)(dst.ptr + 3 * dst_stride_y)); |
| 629 | } |
| 630 | |
| 631 | /** This OpenCL kernel is optimized for Bifrost architectures and computes the depthwise convolution 3x3 when both |
| 632 | * stride_x and stride_y are equal to 2 |
| 633 | * |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 634 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 |
| 635 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 636 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 637 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 638 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 639 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 640 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 641 | * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) |
| 642 | * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: F32 |
| 643 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 644 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 645 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 646 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 647 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 648 | * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) |
| 649 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 650 | * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: F32 |
| 651 | * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| 652 | * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| 653 | * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| 654 | * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) |
| 655 | * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| 656 | * @param[in] weights_step_z weights_stride_z * number of elements along Y processed per workitem(in bytes) |
| 657 | * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the biases vector |
| 658 | * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: F32 |
| 659 | * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) |
| 660 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 661 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector |
| 662 | */ |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 663 | __kernel void depthwise_convolution_3x3_stridex2_stridey2_bifrost_f32( |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 664 | TENSOR3D_DECLARATION(src), |
| 665 | TENSOR3D_DECLARATION(dst), |
| 666 | TENSOR3D_DECLARATION(weights) |
| 667 | #if defined(HAS_BIAS) |
| 668 | , |
| 669 | VECTOR_DECLARATION(biases) |
| 670 | #endif //defined(HAS_BIAS) |
| 671 | ) |
| 672 | { |
| 673 | Image src = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src); |
| 674 | Image dst = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst); |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 675 | Tensor3D weights = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 676 | |
| 677 | float2 pixels0 = 0.0f; |
| 678 | float2 pixels1 = 0.0f; |
| 679 | |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 680 | // Extract channel and linearized batch indices |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 681 | const int channel = get_global_id(2) % DST_CHANNELS; |
| 682 | const int batch = get_global_id(2) / DST_CHANNELS; |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 683 | // Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER) |
| 684 | __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z; |
| 685 | __global uchar *src_addr = src.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z; |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 686 | |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 687 | #if(DILATION_X == 1 && DILATION_Y == 1) |
| 688 | |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 689 | // Load the weights |
| 690 | float3 weights_row0 = vload3(0, (__global float *)(weights_addr + 0 * weights_stride_y)); |
| 691 | float3 weights_row1 = vload3(0, (__global float *)(weights_addr + 1 * weights_stride_y)); |
| 692 | float3 weights_row2 = vload3(0, (__global float *)(weights_addr + 2 * weights_stride_y)); |
| 693 | |
| 694 | // Note: Since each work-item computes 4x2 elements, we need to load 5 rows from the input tensor |
| 695 | float4 src00 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y)); // Row0 |
| 696 | float2 src01 = vload2(2, (__global float *)(src_addr + 0 * src_stride_y)); // Row0 |
| 697 | float4 src10 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y)); // Row1 |
| 698 | float2 src11 = vload2(2, (__global float *)(src_addr + 1 * src_stride_y)); // Row1 |
| 699 | float4 src20 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y)); // Row2 |
| 700 | float2 src21 = vload2(2, (__global float *)(src_addr + 2 * src_stride_y)); // Row2 |
| 701 | float4 src30 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y)); // Row3 |
| 702 | float2 src31 = vload2(2, (__global float *)(src_addr + 3 * src_stride_y)); // Row3 |
| 703 | float4 src40 = vload4(0, (__global float *)(src_addr + 4 * src_stride_y)); // Row4 |
| 704 | float2 src41 = vload2(2, (__global float *)(src_addr + 4 * src_stride_y)); // Row4 |
| 705 | |
| 706 | CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels0, src00, src01, weights_row0); |
| 707 | CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels0, src10, src11, weights_row1); |
| 708 | CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels0, src20, src21, weights_row2); |
| 709 | CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels1, src20, src21, weights_row0); |
| 710 | CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels1, src30, src31, weights_row1); |
| 711 | CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels1, src40, src41, weights_row2); |
| 712 | |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 713 | #else /* DILATION_X==1 && DILATION_Y==1 */ |
| 714 | |
| 715 | //3x3 Convolution of elements starting in 0th row |
| 716 | pixels0 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f32(src_addr, src.stride_x, src.stride_y, 0, weights_addr, weights_stride_y); |
| 717 | //3x3 Convolution of elements starting in 2nd row |
| 718 | pixels1 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f32(src_addr, src.stride_x, src.stride_y, 2, weights_addr, weights_stride_y); |
| 719 | #endif /* DILATION_X==1 && DILATION_Y==1 */ |
| 720 | |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 721 | #ifdef HAS_BIAS |
| 722 | Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| 723 | |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 724 | float bias = *((__global float *)(vector_offset(&biases, channel))); |
Gian Marco | c799ed8 | 2018-02-01 16:57:48 +0000 | [diff] [blame] | 725 | |
| 726 | pixels0 += (float2)bias; |
| 727 | pixels1 += (float2)bias; |
| 728 | #endif /* defined(HAS_BIAS) */ |
| 729 | |
| 730 | vstore2(pixels0, 0, (__global float *)(dst.ptr + 0 * dst_stride_y)); |
| 731 | vstore2(pixels1, 0, (__global float *)(dst.ptr + 1 * dst_stride_y)); |
| 732 | } |
| 733 | |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 734 | #endif // defined(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) |
Giorgio Arena | 7657224 | 2018-04-04 17:44:26 +0100 | [diff] [blame] | 735 | |
giuros01 | 6d10996 | 2019-01-07 17:47:19 +0000 | [diff] [blame] | 736 | #if defined(VEC_SIZE) && defined(DATA_TYPE) && defined(DST_WIDTH) |
| 737 | /** Reshape the weights for quantized depthwise convolution |
| 738 | * |
| 739 | * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type, e.g. -DDATA_TYPE=uint8 |
| 740 | * @note Output width should be given as a preprocessor argument using -DDST_WIDTH=width, e.g. -DDST_WIDTH=128 |
| 741 | * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=vec_size, e.g., -DVEC_SIZE=4 |
| 742 | * @attention Input's height and width should be 3 |
| 743 | * |
| 744 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8 |
| 745 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 746 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 747 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 748 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 749 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 750 | * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) |
| 751 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 752 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 753 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 754 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 755 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 756 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 757 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 758 | */ |
| 759 | __kernel void depthwise_convolution_reshape_weights( |
| 760 | TENSOR3D_DECLARATION(src), |
| 761 | IMAGE_DECLARATION(dst)) |
| 762 | { |
| 763 | Vector src = CONVERT_TO_VECTOR_STRUCT(src); |
| 764 | const int x = get_global_id(0); |
| 765 | |
| 766 | // Load 3x3xVEC_SIZE weights |
| 767 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 768 | w0 = VLOAD(VEC_SIZE)(0, src.ptr + 0 * src_stride_y + 0 * src_stride_z); |
| 769 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 770 | w1 = VLOAD(VEC_SIZE)(0, src.ptr + 1 * src_stride_y + 0 * src_stride_z); |
| 771 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 772 | w2 = VLOAD(VEC_SIZE)(0, src.ptr + 2 * src_stride_y + 0 * src_stride_z); |
| 773 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 774 | w3 = VLOAD(VEC_SIZE)(0, src.ptr + 0 * src_stride_y + 1 * src_stride_z); |
| 775 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 776 | w4 = VLOAD(VEC_SIZE)(0, src.ptr + 1 * src_stride_y + 1 * src_stride_z); |
| 777 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 778 | w5 = VLOAD(VEC_SIZE)(0, src.ptr + 2 * src_stride_y + 1 * src_stride_z); |
| 779 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 780 | w6 = VLOAD(VEC_SIZE)(0, src.ptr + 0 * src_stride_y + 2 * src_stride_z); |
| 781 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 782 | w7 = VLOAD(VEC_SIZE)(0, src.ptr + 1 * src_stride_y + 2 * src_stride_z); |
| 783 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 784 | w8 = VLOAD(VEC_SIZE)(0, src.ptr + 2 * src_stride_y + 2 * src_stride_z); |
| 785 | |
| 786 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * DST_WIDTH * sizeof(DATA_TYPE); |
| 787 | |
| 788 | #if defined(TRANSPOSE) |
| 789 | #if VEC_SIZE != 4 |
| 790 | #error "VEC_SIZE not supported" |
| 791 | #else // VEC_SIZE != 4 |
| 792 | VSTORE(VEC_SIZE) |
| 793 | ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))(w0.s0, w1.s0, w2.s0, w3.s0), 0, dst_addr + 0); |
| 794 | VSTORE(VEC_SIZE) |
| 795 | ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))(w4.s0, w5.s0, w6.s0, w7.s0), 0, dst_addr + 1 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 796 | VSTORE(VEC_SIZE) |
| 797 | ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))(w8.s0, w0.s1, w1.s1, w2.s1), 0, dst_addr + 2 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 798 | VSTORE(VEC_SIZE) |
| 799 | ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))(w3.s1, w4.s1, w5.s1, w6.s1), 0, dst_addr + 3 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 800 | VSTORE(VEC_SIZE) |
| 801 | ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))(w7.s1, w8.s1, w0.s2, w1.s2), 0, dst_addr + 4 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 802 | VSTORE(VEC_SIZE) |
| 803 | ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))(w2.s2, w3.s2, w4.s2, w5.s2), 0, dst_addr + 5 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 804 | VSTORE(VEC_SIZE) |
| 805 | ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))(w6.s2, w7.s2, w8.s2, w0.s3), 0, dst_addr + 6 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 806 | VSTORE(VEC_SIZE) |
| 807 | ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))(w1.s3, w2.s3, w3.s3, w4.s3), 0, dst_addr + 7 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 808 | VSTORE(VEC_SIZE) |
| 809 | ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))(w5.s3, w6.s3, w7.s3, w8.s3), 0, dst_addr + 8 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 810 | #endif // VEC_SIZE != 4 |
| 811 | #else // !defined(TRANSPOSE) |
| 812 | VSTORE(VEC_SIZE) |
| 813 | (w0, 0, dst_addr + 0); |
| 814 | VSTORE(VEC_SIZE) |
| 815 | (w1, 0, dst_addr + 1 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 816 | VSTORE(VEC_SIZE) |
| 817 | (w2, 0, dst_addr + 2 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 818 | VSTORE(VEC_SIZE) |
| 819 | (w3, 0, dst_addr + 3 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 820 | VSTORE(VEC_SIZE) |
| 821 | (w4, 0, dst_addr + 4 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 822 | VSTORE(VEC_SIZE) |
| 823 | (w5, 0, dst_addr + 5 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 824 | VSTORE(VEC_SIZE) |
| 825 | (w6, 0, dst_addr + 6 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 826 | VSTORE(VEC_SIZE) |
| 827 | (w7, 0, dst_addr + 7 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 828 | VSTORE(VEC_SIZE) |
| 829 | (w8, 0, dst_addr + 8 * sizeof(DATA_TYPE) * VEC_SIZE); |
| 830 | #endif // defined(TRANSPOSE) |
| 831 | } |
| 832 | #endif // defined(VEC_SIZE) && defined(DATA_TYPE) && defined(DST_WIDTH) |
| 833 | |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 834 | #if defined(NCHW) |
| 835 | #define in_stride_x src_stride_x |
| 836 | #define in_stride_y src_stride_y |
| 837 | #define in_stride_z src_stride_z |
| 838 | #define out_stride_x dst_stride_x |
| 839 | #define out_stride_y dst_stride_y |
| 840 | #define out_stride_z dst_stride_z |
| 841 | #else //defined(NCHW) |
| 842 | #define in_stride_x src_stride_y |
| 843 | #define in_stride_y src_stride_z |
| 844 | #define in_stride_z src_stride_x |
| 845 | #define out_stride_x dst_stride_y |
| 846 | #define out_stride_y dst_stride_z |
| 847 | #define out_stride_z dst_stride_x |
| 848 | #endif //defined(NCHW) |
| 849 | |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 850 | #if defined(SRC_WIDTH) && defined(DATA_TYPE) |
| 851 | /** This kernel reshapes each of the tensor's low three dimensions to single rows. |
| 852 | * |
| 853 | * @note Datatype and source width should be given as a preprocessor argument using -DDATA_TYPE=type and -DSRC_WIDTH=width. e.g. -DSRC_WIDTH=128 |
| 854 | * |
Georgios Pinitas | 81a26ad | 2017-10-23 20:29:30 +0100 | [diff] [blame] | 855 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32 |
| 856 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 857 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 858 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 859 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 860 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 861 | * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) |
| 862 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 863 | * @param[out] dst_ptr Pointer to the destination tensor. Same as @p src_ptr |
| 864 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 865 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 866 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 867 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 868 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 869 | * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: F16/F32 |
| 870 | * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) |
| 871 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 872 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 873 | */ |
giuros01 | 6d10996 | 2019-01-07 17:47:19 +0000 | [diff] [blame] | 874 | __kernel void depthwise_convolution_reshape_weights_generic( |
Georgios Pinitas | 81a26ad | 2017-10-23 20:29:30 +0100 | [diff] [blame] | 875 | TENSOR3D_DECLARATION(src), |
| 876 | IMAGE_DECLARATION(dst) |
| 877 | #ifdef HAS_BIAS |
| 878 | , |
| 879 | VECTOR_DECLARATION(biases) |
| 880 | #endif /* HAS_BIAS */ |
| 881 | ) |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 882 | { |
Georgios Pinitas | 81a26ad | 2017-10-23 20:29:30 +0100 | [diff] [blame] | 883 | #ifdef HAS_BIAS |
| 884 | Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| 885 | #endif /* HAS_BIAS */ |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 886 | |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 887 | __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + get_global_id(1) * in_stride_y + get_global_id(2) * in_stride_z; |
| 888 | __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + get_global_id(1) * SRC_WIDTH * dst_stride_x + get_global_id(2) * dst_stride_y; |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 889 | |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 890 | for(int i = 0; i < SRC_WIDTH; ++i, input_ptr += in_stride_x) |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 891 | { |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 892 | *((__global DATA_TYPE *)(output_ptr + i * dst_stride_x)) = *((__global DATA_TYPE *)input_ptr); |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 893 | } |
Georgios Pinitas | 81a26ad | 2017-10-23 20:29:30 +0100 | [diff] [blame] | 894 | |
| 895 | #if defined(HAS_BIAS) |
| 896 | if(get_global_id(1) == 0) |
| 897 | { |
Michele Di Giorgio | d24af8a | 2018-05-08 17:23:52 +0100 | [diff] [blame] | 898 | *((__global DATA_TYPE *)(output_ptr + SRC_WIDTH * get_global_size(1) * dst_stride_x)) = *((__global DATA_TYPE *)(biases.ptr + get_global_id(2) * biases_stride_x)); |
Georgios Pinitas | 81a26ad | 2017-10-23 20:29:30 +0100 | [diff] [blame] | 899 | } |
| 900 | #endif // defined(HAS_BIAS) |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 901 | } |
| 902 | #endif //defined(SRC_WIDTH) && defined(DATA_TYPE) |
| 903 | |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 904 | #if 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_WIDTH) && defined(SRC_HEIGHT) && defined(DATA_TYPE) && defined(PAD_VALUE) && defined(DEPTH_MULTIPLIER) && defined(DILATION_X) && defined(DILATION_Y) |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 905 | /** This kernel performs a reshaping of the input tensor to a tensor used to perform depthwise convolution using vector to matrix multiplication. |
| 906 | * |
| 907 | * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
Giorgio Arena | 7657224 | 2018-04-04 17:44:26 +0100 | [diff] [blame] | 908 | * @note The convolution information must be passed at compile time using -DSTRIDE_X, -DSTRIDE_Y, -DPAD_LEFT, -DPAD_TOP, -DPAD_RIGHT, -DPAD_BOTTOM, -DKERNEL_WIDHT, -DKERNEL_HEIGHT, -DSRC_WIDTH, -DSRC_HEIGHT, -DDEPTH_MULTIPLIER |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 909 | * @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 |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 910 | * |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 911 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32 |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 912 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 913 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 914 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 915 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 916 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 917 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 918 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 919 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 920 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 921 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 922 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 923 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 924 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 925 | * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| 926 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 927 | */ |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 928 | __kernel void depthwise_im2col(TENSOR3D_DECLARATION(src), TENSOR3D_DECLARATION(dst)) |
| 929 | { |
| 930 | Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
| 931 | |
| 932 | const int src_pixel_linear = get_global_id(1) * STRIDE_X; |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 933 | const int full_length = SRC_WIDTH + PAD_LEFT + PAD_RIGHT; |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 934 | const int max_initial_x = STRIDE_X * (((full_length - (KERNEL_WIDTH + (KERNEL_WIDTH - 1) * (DILATION_X - 1))) / STRIDE_X) + 1); |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 935 | |
Jaroslaw Rzepecki | a1ed41f | 2017-10-13 11:13:58 +0100 | [diff] [blame] | 936 | const int src_x = -PAD_LEFT + src_pixel_linear % max_initial_x; |
| 937 | const int src_y = -PAD_TOP + src_pixel_linear / max_initial_x * STRIDE_Y; |
Giorgio Arena | 7657224 | 2018-04-04 17:44:26 +0100 | [diff] [blame] | 938 | const int src_z = get_global_id(2) / DEPTH_MULTIPLIER; |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 939 | |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 940 | __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + src_z * in_stride_z; |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 941 | __global DATA_TYPE *output_ptr = ((__global DATA_TYPE *)(dst.ptr)); |
| 942 | |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 943 | for(int y = src_y; y < src_y + KERNEL_HEIGHT + (KERNEL_HEIGHT - 1) * (DILATION_Y - 1); y += DILATION_Y) |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 944 | { |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 945 | for(int x = src_x; x < src_x + KERNEL_WIDTH + (KERNEL_WIDTH - 1) * (DILATION_X - 1); x += DILATION_X, ++output_ptr) |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 946 | { |
| 947 | if(x < 0 || x >= SRC_WIDTH || y < 0 || y >= SRC_HEIGHT) |
| 948 | { |
Georgios Pinitas | de5a1cc | 2018-02-02 12:52:07 +0000 | [diff] [blame] | 949 | *output_ptr = PAD_VALUE; |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 950 | } |
| 951 | else |
| 952 | { |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 953 | *output_ptr = *((__global DATA_TYPE *)(input_ptr + x * in_stride_x + y * in_stride_y)); |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 954 | } |
| 955 | } |
| 956 | } |
Georgios Pinitas | 81a26ad | 2017-10-23 20:29:30 +0100 | [diff] [blame] | 957 | #if defined(HAS_BIAS) |
| 958 | *output_ptr = (DATA_TYPE)(1); |
| 959 | #endif // defined(HAS_BIAS) |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 960 | } |
| 961 | |
Giorgio Arena | 7657224 | 2018-04-04 17:44:26 +0100 | [diff] [blame] | 962 | #endif //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_WIDTH) && defined(DATA_TYPE) && defined(PAD_VALUE) && defined(DEPTH_MULTIPLIER) |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 963 | |
| 964 | #if defined(CONV_WIDTH) && defined(CONV_HEIGHT) && defined(DATA_TYPE) |
| 965 | |
| 966 | /** This kernel performs a reshaping of the output of the depthwise generic convolution. |
| 967 | * |
| 968 | * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| 969 | * @note The convolution information must be passed at compile time using -DCONV_WIDTH, -DCONV_HEIGHT, e.g -DCONV_WIDTH=32, -DCONV_HEIGHT=42 |
| 970 | * |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 971 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32 |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 972 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 973 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 974 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 975 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 976 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 977 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 978 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 979 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 980 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 981 | * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| 982 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 983 | */ |
| 984 | __kernel void depthwise_vector_to_tensor( |
| 985 | VECTOR_DECLARATION(src), |
| 986 | TENSOR3D_DECLARATION(dst)) |
| 987 | { |
| 988 | Vector src = CONVERT_TO_VECTOR_STRUCT(src); |
| 989 | |
| 990 | const int patch_size = CONV_WIDTH * CONV_HEIGHT; |
| 991 | const int id0 = get_global_id(0); |
| 992 | const int z = id0 / patch_size; |
| 993 | const int index2D = id0 - z * patch_size; |
| 994 | |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 995 | __global uchar *out_ptr = dst_ptr + dst_offset_first_element_in_bytes + index2D % CONV_WIDTH * out_stride_x + index2D / CONV_WIDTH * out_stride_y + z * out_stride_z; |
Giorgio Arena | 9fe4144 | 2017-08-23 16:36:24 +0100 | [diff] [blame] | 996 | *((__global DATA_TYPE *)out_ptr) = *((__global DATA_TYPE *)src.ptr); |
| 997 | } |
| 998 | |
| 999 | #endif //defined(CONV_WIDTH) && defined(CONV_HEIGHT) && defined(DATA_TYPE) |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1000 | |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 1001 | #if defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) && defined(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1002 | #if defined(CONV_STRIDE_X) |
| 1003 | #if CONV_STRIDE_X == 1 |
| 1004 | #define convolution1x3_f16 convolution1x3_stride_1_f16 |
| 1005 | #elif CONV_STRIDE_X == 2 |
| 1006 | #define convolution1x3_f16 convolution1x3_stride_2_f16 |
| 1007 | #elif CONV_STRIDE_X == 3 |
| 1008 | #define convolution1x3_f16 convolution1x3_stride_3_f16 |
| 1009 | #else /* CONV_STRIDE_X */ |
| 1010 | #error "Stride not supported" |
| 1011 | #endif /* CONV_STRIDE_X */ |
| 1012 | |
| 1013 | /** Compute a 1D horizontal convolution of size 3 and stride 1 for 16bit floating point type. |
| 1014 | * |
| 1015 | * @param[in] left_pixel Pointer to the left pixel. |
| 1016 | * @param[in] left_coeff Weight of the left pixel |
| 1017 | * @param[in] middle_coeff Weight of the middle pixel |
| 1018 | * @param[in] right_coeff Weight of the right pixel |
| 1019 | * |
| 1020 | * @return a half4 containing 4 convoluted values. |
| 1021 | */ |
| 1022 | inline half4 convolution1x3_stride_1_f16(__global const uchar *left_pixel, |
| 1023 | const half left_coeff, |
| 1024 | const half middle_coeff, |
| 1025 | const half right_coeff) |
| 1026 | { |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1027 | #if(DILATION_X == 1 && DILATION_Y == 1) |
| 1028 | |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1029 | half8 temp = vload8(0, (__global half *)left_pixel); |
| 1030 | |
| 1031 | half4 left = CONVERT(temp.s0123, half4); |
| 1032 | half4 middle = CONVERT(temp.s1234, half4); |
| 1033 | half4 right = CONVERT(temp.s2345, half4); |
| 1034 | |
| 1035 | return left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff; |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1036 | #else /* DILATION_X==1 && DILATION_Y==1 */ |
| 1037 | return vload4(0, (__global half *)left_pixel) * (half4)left_coeff |
| 1038 | + vload4(0, (__global half *)(left_pixel) + DILATION_X) * (half4)middle_coeff |
| 1039 | + vload4(0, (__global half *)(left_pixel) + 2 * DILATION_X) * (half4)right_coeff; |
| 1040 | |
| 1041 | #endif /* DILATION_X==1 && DILATION_Y==1 */ |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1042 | } |
| 1043 | |
| 1044 | /** Compute a 1D horizontal convolution of size 3 and stride 2 for 16bit floating point type. |
| 1045 | * |
| 1046 | * @param[in] left_pixel Pointer to the left pixel. |
| 1047 | * @param[in] left_coeff Weight of the left pixel |
| 1048 | * @param[in] middle_coeff Weight of the middle pixel |
| 1049 | * @param[in] right_coeff Weight of the right pixel |
| 1050 | * |
| 1051 | * @return a half4 containing 4 convoluted values. |
| 1052 | */ |
| 1053 | inline half4 convolution1x3_stride_2_f16(__global const uchar *left_pixel, |
| 1054 | const half left_coeff, |
| 1055 | const half middle_coeff, |
| 1056 | const half right_coeff) |
| 1057 | { |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1058 | #if(DILATION_X == 1 && DILATION_Y == 1) |
| 1059 | |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1060 | half8 temp0 = vload8(0, (__global half *)left_pixel); |
| 1061 | half temp1 = *((__global half *)(left_pixel + 8 * sizeof(half))); |
| 1062 | |
| 1063 | half4 left = CONVERT(temp0.s0246, half4); |
| 1064 | half4 middle = CONVERT(temp0.s1357, half4); |
| 1065 | half4 right = CONVERT((half4)(temp0.s246, temp1), half4); |
| 1066 | |
| 1067 | return left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff; |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1068 | #else /* DILATION_X==1 && DILATION_Y==1 */ |
| 1069 | |
| 1070 | __global half *left_pixel_float = (__global half *)left_pixel; |
| 1071 | |
| 1072 | return (half4)(*left_pixel_float, *(left_pixel_float + 2), *(left_pixel_float + 4), *(left_pixel_float + 6)) * (half4)left_coeff |
| 1073 | + (half4)(*(left_pixel_float + DILATION_X), *(left_pixel_float + DILATION_X + 2), *(left_pixel_float + DILATION_X + 4), *(left_pixel_float + DILATION_X + 6)) * (half4)middle_coeff |
| 1074 | + (half4)(*(left_pixel_float + DILATION_X * 2), *(left_pixel_float + DILATION_X * 2 + 2), *(left_pixel_float + DILATION_X * 2 + 4), *(left_pixel_float + DILATION_X * 2 + 6)) * (half4)right_coeff; |
| 1075 | |
| 1076 | #endif /* DILATION_X==1 && DILATION_Y==1 */ |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1077 | } |
| 1078 | |
| 1079 | /** Compute a 1D horizontal convolution of size 3 and stride 3 for 16bit floating point type. |
| 1080 | * |
| 1081 | * @param[in] left_pixel Pointer to the left pixel. |
| 1082 | * @param[in] left_coeff Weight of the left pixel |
| 1083 | * @param[in] middle_coeff Weight of the middle pixel |
| 1084 | * @param[in] right_coeff Weight of the right pixel |
| 1085 | * |
| 1086 | * @return a half4 containing 4 convoluted values. |
| 1087 | */ |
| 1088 | inline half4 convolution1x3_stride_3_f16(__global const uchar *left_pixel, |
| 1089 | const half left_coeff, |
| 1090 | const half middle_coeff, |
| 1091 | const half right_coeff) |
| 1092 | { |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1093 | #if(DILATION_X == 1 && DILATION_Y == 1) |
| 1094 | |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1095 | half16 temp0 = vload16(0, (__global half *)left_pixel); |
| 1096 | |
| 1097 | half4 left = CONVERT(temp0.s0369, half4); |
| 1098 | half4 middle = CONVERT(temp0.s147A, half4); |
| 1099 | half4 right = CONVERT(temp0.s258B, half4); |
| 1100 | |
| 1101 | return left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff; |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1102 | #else /* DILATION_X==1 && DILATION_Y==1 */ |
| 1103 | |
| 1104 | __global half *left_pixel_float = (__global half *)left_pixel; |
| 1105 | |
| 1106 | return (half4)(*left_pixel_float, *(left_pixel_float + 3), *(left_pixel_float + 6), *(left_pixel_float + 9)) * (half4)left_coeff |
| 1107 | + (half4)(*(left_pixel_float + DILATION_X), *(left_pixel_float + DILATION_X + 3), *(left_pixel_float + DILATION_X + 6), *(left_pixel_float + DILATION_X + 9)) * (half4)middle_coeff |
| 1108 | + (half4)(*(left_pixel_float + DILATION_X * 2), *(left_pixel_float + DILATION_X * 2 + 3), *(left_pixel_float + DILATION_X * 2 + 6), *(left_pixel_float + DILATION_X * 2 + 9)) * (half4)right_coeff; |
| 1109 | |
| 1110 | #endif /* DILATION_X==1 && DILATION_Y==1 */ |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1111 | } |
| 1112 | |
| 1113 | /** Apply a 3x3 convolution matrix to a single channel F16 input image and return the result. |
| 1114 | * |
| 1115 | * Convolution matrix layout: |
| 1116 | * |
| 1117 | * [ mat0, mat1, mat2 ]\n |
| 1118 | * [ mat3, mat4, mat5 ]\n |
| 1119 | * [ mat6, mat7, mat8 ]\n |
| 1120 | * |
| 1121 | * @param[in] src A pointer to source Image structure |
| 1122 | * @param[in] mat0 Coefficient from the convolution matrix |
| 1123 | * @param[in] mat1 Coefficient from the convolution matrix |
| 1124 | * @param[in] mat2 Coefficient from the convolution matrix |
| 1125 | * @param[in] mat3 Coefficient from the convolution matrix |
| 1126 | * @param[in] mat4 Coefficient from the convolution matrix |
| 1127 | * @param[in] mat5 Coefficient from the convolution matrix |
| 1128 | * @param[in] mat6 Coefficient from the convolution matrix |
| 1129 | * @param[in] mat0 Coefficient from the convolution matrix |
| 1130 | * @param[in] mat7 Coefficient from the convolution matrix |
| 1131 | * @param[in] mat8 Coefficient from the convolution matrix |
| 1132 | * |
| 1133 | * @return a half4 containing 4 convoluted values. |
| 1134 | */ |
| 1135 | inline half4 convolution3x3_f16( |
| 1136 | Image *src, |
| 1137 | const half mat0, const half mat1, const half mat2, |
| 1138 | const half mat3, const half mat4, const half mat5, |
| 1139 | const half mat6, const half mat7, const half mat8) |
| 1140 | { |
| 1141 | half4 pixels; |
| 1142 | |
| 1143 | pixels = convolution1x3_f16(offset(src, 0, 0), mat0, mat1, mat2); |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1144 | pixels += convolution1x3_f16(offset(src, 0, DILATION_Y), mat3, mat4, mat5); |
| 1145 | pixels += convolution1x3_f16(offset(src, 0, DILATION_Y * 2), mat6, mat7, mat8); |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1146 | |
| 1147 | return pixels; |
| 1148 | } |
| 1149 | |
Giorgio Arena | 7657224 | 2018-04-04 17:44:26 +0100 | [diff] [blame] | 1150 | #if defined(DEPTH_MULTIPLIER) |
| 1151 | |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1152 | /** This OpenCL kernel computes the depthwise convolution 3x3 |
| 1153 | * |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1154 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16 |
| 1155 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1156 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1157 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1158 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1159 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1160 | * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1161 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1162 | * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1163 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 1164 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 1165 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 1166 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1167 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 1168 | * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) |
| 1169 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1170 | * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1171 | * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| 1172 | * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| 1173 | * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| 1174 | * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1175 | * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| 1176 | * @param[in] weights_step_z weights_stride_z * number of elements along Y processed per workitem(in bytes) |
| 1177 | * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the biases vector |
| 1178 | * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: F16/F32 |
| 1179 | * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) |
| 1180 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 1181 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector |
| 1182 | */ |
| 1183 | __kernel void depthwise_convolution_3x3_f16( |
| 1184 | TENSOR3D_DECLARATION(src), |
| 1185 | TENSOR3D_DECLARATION(dst), |
| 1186 | TENSOR3D_DECLARATION(weights) |
| 1187 | #if defined(HAS_BIAS) |
| 1188 | , |
| 1189 | VECTOR_DECLARATION(biases) |
| 1190 | #endif //defined(HAS_BIAS) |
| 1191 | ) |
| 1192 | { |
| 1193 | Image src = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src); |
| 1194 | Image dst = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst); |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 1195 | Tensor3D weights = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1196 | #if defined(HAS_BIAS) |
| 1197 | Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| 1198 | #endif //defined(HAS_BIAS) |
| 1199 | |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 1200 | // Extract channel and linearized batch indices |
| 1201 | const int channel = get_global_id(2) % DST_CHANNELS; |
| 1202 | const int batch = get_global_id(2) / DST_CHANNELS; |
| 1203 | // Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER) |
| 1204 | src.ptr -= batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z + (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z; |
| 1205 | __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z; |
Giorgio Arena | 7657224 | 2018-04-04 17:44:26 +0100 | [diff] [blame] | 1206 | |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1207 | uchar3 offset = (uchar3)(0, 1, 2) * (uchar3)weights_stride_y; |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 1208 | half3 weights_values0 = vload3(0, (__global half *)(weights_addr + offset.s0)); |
| 1209 | half3 weights_values1 = vload3(0, (__global half *)(weights_addr + offset.s1)); |
| 1210 | half3 weights_values2 = vload3(0, (__global half *)(weights_addr + offset.s2)); |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1211 | |
| 1212 | half4 pixels = convolution3x3_f16(&src, weights_values0.s0, weights_values0.s1, weights_values0.s2, |
| 1213 | weights_values1.s0, weights_values1.s1, weights_values1.s2, |
| 1214 | weights_values2.s0, weights_values2.s1, weights_values2.s2); |
| 1215 | #if defined(HAS_BIAS) |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 1216 | pixels += (half4)(*((__global half *)(biases.ptr + channel * biases_stride_x))); |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1217 | #endif //defined(HAS_BIAS) |
| 1218 | |
| 1219 | vstore4(pixels, 0, (__global half *)dst.ptr); |
| 1220 | } |
Giorgio Arena | 7657224 | 2018-04-04 17:44:26 +0100 | [diff] [blame] | 1221 | #endif // defined(DEPTH_MULTIPLIER) |
Michele Di Giorgio | 933fe86 | 2018-02-19 15:42:12 +0000 | [diff] [blame] | 1222 | #endif // defined(CONV_STRIDE_X) |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1223 | |
| 1224 | /** This OpenCL kernel is optimized for Bifrost architectures and computes the 16bit floating point depthwise convolution 3x3 |
| 1225 | * when both stride_x and stride_y are equal to 1 |
| 1226 | * |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1227 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16 |
| 1228 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1229 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1230 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1231 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1232 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 1233 | * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1234 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1235 | * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 1236 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 1237 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 1238 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 1239 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1240 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 1241 | * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) |
| 1242 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 1243 | * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr |
| 1244 | * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| 1245 | * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| 1246 | * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| 1247 | * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1248 | * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| 1249 | * @param[in] weights_step_z weights_stride_z * number of elements along Y processed per workitem(in bytes) |
| 1250 | * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the biases vector |
| 1251 | * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: same as @p src_ptr |
| 1252 | * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) |
| 1253 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 1254 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector |
| 1255 | */ |
| 1256 | __kernel void depthwise_convolution_3x3_stridex1_stridey1_bifrost_f16( |
| 1257 | TENSOR3D_DECLARATION(src), |
| 1258 | TENSOR3D_DECLARATION(dst), |
| 1259 | TENSOR3D_DECLARATION(weights) |
| 1260 | #if defined(HAS_BIAS) |
| 1261 | , |
| 1262 | VECTOR_DECLARATION(biases) |
| 1263 | #endif //defined(HAS_BIAS) |
| 1264 | ) |
| 1265 | { |
| 1266 | Image src = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src); |
| 1267 | Image dst = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst); |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 1268 | Tensor3D weights = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
| 1269 | |
| 1270 | // Extract channel and linearized batch indices |
| 1271 | const int channel = get_global_id(2) % DST_CHANNELS; |
| 1272 | const int batch = get_global_id(2) / DST_CHANNELS; |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1273 | |
| 1274 | #ifdef HAS_BIAS |
| 1275 | Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| 1276 | |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 1277 | half bias = *((__global half *)(vector_offset(&biases, channel))); |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1278 | #endif /* defined(HAS_BIAS) */ |
| 1279 | |
| 1280 | half4 pixels0 = 0.0f; |
| 1281 | half4 pixels1 = 0.0f; |
| 1282 | half4 pixels2 = 0.0f; |
| 1283 | half4 pixels3 = 0.0f; |
| 1284 | |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 1285 | // Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER) |
| 1286 | __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z; |
| 1287 | __global uchar *src_addr = src.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z; |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1288 | |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1289 | #if(DILATION_X == 1 && DILATION_Y == 1) |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1290 | // Load the weights |
| 1291 | half3 weights_row0 = vload3(0, (__global half *)(weights_addr + 0 * weights_stride_y)); |
| 1292 | half3 weights_row1 = vload3(0, (__global half *)(weights_addr + 1 * weights_stride_y)); |
| 1293 | half3 weights_row2 = vload3(0, (__global half *)(weights_addr + 2 * weights_stride_y)); |
| 1294 | |
| 1295 | // Note: Since each work-item computes 4x4 elements, we need to load 6 rows from the input tensor |
| 1296 | half8 src00 = vload8(0, (__global half *)(src_addr + 0 * src_stride_y)); // Row0 |
| 1297 | half8 src10 = vload8(0, (__global half *)(src_addr + 1 * src_stride_y)); // Row1 |
| 1298 | half8 src20 = vload8(0, (__global half *)(src_addr + 2 * src_stride_y)); // Row2 |
| 1299 | half8 src30 = vload8(0, (__global half *)(src_addr + 3 * src_stride_y)); // Row3 |
| 1300 | half8 src40 = vload8(0, (__global half *)(src_addr + 4 * src_stride_y)); // Row4 |
| 1301 | half8 src50 = vload8(0, (__global half *)(src_addr + 5 * src_stride_y)); // Row5 |
| 1302 | |
| 1303 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels0, src00, weights_row0); |
| 1304 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels0, src10, weights_row1); |
| 1305 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels0, src20, weights_row2); |
| 1306 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels1, src10, weights_row0); |
| 1307 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels1, src20, weights_row1); |
| 1308 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels1, src30, weights_row2); |
| 1309 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels2, src20, weights_row0); |
| 1310 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels2, src30, weights_row1); |
| 1311 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels2, src40, weights_row2); |
| 1312 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels3, src30, weights_row0); |
| 1313 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels3, src40, weights_row1); |
| 1314 | CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels3, src50, weights_row2); |
| 1315 | |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1316 | #else /* DILATION_X==1 && DILATION_Y==1 */ |
| 1317 | |
| 1318 | //3x3 Convolution of elements starting in 0th row |
| 1319 | pixels0 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, src.stride_x, src.stride_y, 0, weights_addr, weights_stride_y); |
| 1320 | //3x3 Convolution of elements starting in 1st row |
| 1321 | pixels1 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, src.stride_x, src.stride_y, 1, weights_addr, weights_stride_y); |
| 1322 | //3x3 Convolution of elements starting in 2nd row |
| 1323 | pixels2 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, src.stride_x, src.stride_y, 2, weights_addr, weights_stride_y); |
| 1324 | //3x3 Convolution of elements starting in 3rd row |
| 1325 | pixels3 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, src.stride_x, src.stride_y, 3, weights_addr, weights_stride_y); |
| 1326 | |
| 1327 | #endif /* DILATION_X==1 && DILATION_Y==1 */ |
| 1328 | |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1329 | #ifdef HAS_BIAS |
| 1330 | pixels0 += (half4)bias; |
| 1331 | pixels1 += (half4)bias; |
| 1332 | pixels2 += (half4)bias; |
| 1333 | pixels3 += (half4)bias; |
| 1334 | #endif /* defined(HAS_BIAS) */ |
| 1335 | |
| 1336 | vstore4(pixels0, 0, (__global half *)(dst.ptr + 0 * dst_stride_y)); |
| 1337 | vstore4(pixels1, 0, (__global half *)(dst.ptr + 1 * dst_stride_y)); |
| 1338 | vstore4(pixels2, 0, (__global half *)(dst.ptr + 2 * dst_stride_y)); |
| 1339 | vstore4(pixels3, 0, (__global half *)(dst.ptr + 3 * dst_stride_y)); |
| 1340 | } |
| 1341 | |
| 1342 | /** This OpenCL kernel is optimized for Bifrost architectures and computes 16bit floating point the depthwise convolution 3x3 |
| 1343 | * when both stride_x and stride_y are equal to 2 |
| 1344 | * |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1345 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16 |
| 1346 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1347 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1348 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1349 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1350 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1351 | * @param[in] src_step_z src_stride_y * number of elements along Z processed per workitem(in bytes) |
| 1352 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1353 | * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 1354 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 1355 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 1356 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 1357 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1358 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 1359 | * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) |
| 1360 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 1361 | * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr |
| 1362 | * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| 1363 | * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| 1364 | * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| 1365 | * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1366 | * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| 1367 | * @param[in] weights_step_z weights_stride_z * number of elements along Y processed per workitem(in bytes) |
| 1368 | * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the biases vector |
| 1369 | * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: same as @p src_ptr |
| 1370 | * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) |
| 1371 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 1372 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector |
| 1373 | */ |
| 1374 | __kernel void depthwise_convolution_3x3_stridex2_stridey2_bifrost_f16( |
| 1375 | TENSOR3D_DECLARATION(src), |
| 1376 | TENSOR3D_DECLARATION(dst), |
| 1377 | TENSOR3D_DECLARATION(weights) |
| 1378 | #if defined(HAS_BIAS) |
| 1379 | , |
| 1380 | VECTOR_DECLARATION(biases) |
| 1381 | #endif //defined(HAS_BIAS) |
| 1382 | ) |
| 1383 | { |
| 1384 | Image src = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src); |
| 1385 | Image dst = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst); |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 1386 | Tensor3D weights = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
| 1387 | |
| 1388 | // Extract channel and linearized batch indices |
| 1389 | const int channel = get_global_id(2) % DST_CHANNELS; |
| 1390 | const int batch = get_global_id(2) / DST_CHANNELS; |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1391 | |
| 1392 | #ifdef HAS_BIAS |
| 1393 | Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| 1394 | |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 1395 | half bias = *((__global half *)(vector_offset(&biases, channel))); |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1396 | #endif /* defined(HAS_BIAS) */ |
| 1397 | |
| 1398 | half4 pixels0 = 0.0f; |
| 1399 | half4 pixels1 = 0.0f; |
| 1400 | |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 1401 | // Load relevant input and weights data ( Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER) |
| 1402 | __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z; |
| 1403 | __global uchar *src_addr = src.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z; |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1404 | |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1405 | #if(DILATION_X == 1 && DILATION_Y == 1) |
| 1406 | |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1407 | // Load the weights |
| 1408 | half3 weights_row0 = vload3(0, (__global half *)(weights_addr + 0 * weights_stride_y)); |
| 1409 | half3 weights_row1 = vload3(0, (__global half *)(weights_addr + 1 * weights_stride_y)); |
| 1410 | half3 weights_row2 = vload3(0, (__global half *)(weights_addr + 2 * weights_stride_y)); |
| 1411 | |
| 1412 | // Note: Since each work-item computes 2x4 elements, we need to load 5 rows from the input tensor |
| 1413 | half8 src00 = vload8(0, (__global half *)(src_addr + 0 * src_stride_y)); // Row0 |
| 1414 | half2 src01 = vload2(4, (__global half *)(src_addr + 0 * src_stride_y)); // Row0 |
| 1415 | half8 src10 = vload8(0, (__global half *)(src_addr + 1 * src_stride_y)); // Row1 |
| 1416 | half2 src11 = vload2(4, (__global half *)(src_addr + 1 * src_stride_y)); // Row1 |
| 1417 | half8 src20 = vload8(0, (__global half *)(src_addr + 2 * src_stride_y)); // Row2 |
| 1418 | half2 src21 = vload2(4, (__global half *)(src_addr + 2 * src_stride_y)); // Row2 |
| 1419 | half8 src30 = vload8(0, (__global half *)(src_addr + 3 * src_stride_y)); // Row3 |
| 1420 | half2 src31 = vload2(4, (__global half *)(src_addr + 3 * src_stride_y)); // Row3 |
| 1421 | half8 src40 = vload8(0, (__global half *)(src_addr + 4 * src_stride_y)); // Row4 |
| 1422 | half2 src41 = vload2(4, (__global half *)(src_addr + 4 * src_stride_y)); // Row4 |
| 1423 | |
| 1424 | CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels0, src00, src01, weights_row0); |
| 1425 | CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels0, src10, src11, weights_row1); |
| 1426 | CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels0, src20, src21, weights_row2); |
| 1427 | CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels1, src20, src21, weights_row0); |
| 1428 | CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels1, src30, src31, weights_row1); |
| 1429 | CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels1, src40, src41, weights_row2); |
| 1430 | |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1431 | #else /* DILATION_X==1 && DILATION_Y==1 */ |
| 1432 | //3x3 Convolution of elements starting in 0th row |
| 1433 | pixels0 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f16(src_addr, src.stride_x, src.stride_y, 0, weights_addr, weights_stride_y); |
| 1434 | //3x3 Convolution of elements starting in 2nd row |
| 1435 | pixels1 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f16(src_addr, src.stride_x, src.stride_y, 2, weights_addr, weights_stride_y); |
| 1436 | #endif /* DILATION_X==1 && DILATION_Y==1 */ |
| 1437 | |
Michele Di Giorgio | 3ebef32 | 2018-02-21 10:02:58 +0000 | [diff] [blame] | 1438 | #ifdef HAS_BIAS |
| 1439 | pixels0 += (half4)bias; |
| 1440 | pixels1 += (half4)bias; |
| 1441 | #endif /* defined(HAS_BIAS) */ |
| 1442 | |
| 1443 | vstore4(pixels0, 0, (__global half *)(dst.ptr + 0 * dst_stride_y)); |
| 1444 | vstore4(pixels1, 0, (__global half *)(dst.ptr + 1 * dst_stride_y)); |
| 1445 | } |
Georgios Pinitas | e55b40a | 2018-09-13 17:20:04 +0100 | [diff] [blame] | 1446 | #endif // defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) && defined(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1447 | |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1448 | #if defined(VEC_SIZE) && defined(SRC_DIM_2) && defined(CONV_PAD_TOP) && defined(CONV_PAD_LEFT) && defined(DATA_TYPE) |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1449 | |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1450 | #if DATA_TYPE != float || DATA_TYPE != half |
| 1451 | #error "Unsupported data type" |
| 1452 | #endif // DATA_TYPE != float || DATA_TYPE != half |
| 1453 | |
| 1454 | #define VEC_FLOAT VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1455 | |
| 1456 | #if defined(CONV_STRIDE_X) && defined(CONV_STRIDE_Y) |
| 1457 | /** This function computes the depthwise convolution for NHWC data layout when the stride along the width or height is not 1. |
| 1458 | * |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1459 | * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1460 | * @note The number of elements read per thread must be passed at compile time using -DVEC_SIZE (e.g. -DVEC_SIZE=2) |
| 1461 | * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) |
| 1462 | * @note The convolution pad top must be passed at compile time using -DCONV_PAD_TOP (e.g. -DCONV_PAD_TOP=1) |
| 1463 | * @note The convolution pad top must be passed at compile time using -DCONV_PAD_LEFT (e.g. -DCONV_PAD_LEFT=1) |
| 1464 | * @note The convolution stride along the width must be passed at compile time using -DCONV_STRIDE_X (e.g. -DCONV_STRIDE_Y=X) |
| 1465 | * @note The convolution stride along the height must be passed at compile time using -DCONV_STRIDE_Y (e.g. -DCONV_STRIDE_Y=1) |
| 1466 | * |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1467 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: FP32 |
| 1468 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1469 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1470 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1471 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1472 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1473 | * @param[in] src_step_z src_stride_y * number of elements along Z processed per workitem(in bytes) |
| 1474 | * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) |
| 1475 | * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) |
| 1476 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1477 | * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: same as src_ptr |
| 1478 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 1479 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 1480 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 1481 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1482 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 1483 | * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1484 | * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) |
| 1485 | * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1486 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 1487 | * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: QASYMM8 |
| 1488 | * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| 1489 | * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| 1490 | * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| 1491 | * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1492 | * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| 1493 | * @param[in] weights_step_z weights_stride_z * number of elements along Y processed per workitem(in bytes) |
| 1494 | * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor |
| 1495 | * @param[in] max_offset Max offset for the input tensor |
| 1496 | * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: same as src_ptr |
| 1497 | * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) |
| 1498 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 1499 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector |
| 1500 | */ |
| 1501 | __kernel void depthwise_convolution_3x3_nhwc( |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1502 | TENSOR4D_DECLARATION(src), |
| 1503 | TENSOR4D_DECLARATION(dst), |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1504 | TENSOR3D_DECLARATION(weights), |
| 1505 | #if defined(HAS_BIAS) |
| 1506 | VECTOR_DECLARATION(biases), |
| 1507 | #endif /* defined(HAS_BIAS) */ |
| 1508 | int max_offset) |
| 1509 | { |
| 1510 | int x = get_global_id(0); // channels |
| 1511 | int y = get_global_id(1); // spatial coordinate x |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1512 | #if defined(DST_DEPTH) |
| 1513 | int z = get_global_id(2) % (int)DST_DEPTH; // spatial coordinate y |
| 1514 | int b = get_global_id(2) / (int)DST_DEPTH; // batch |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1515 | #else // defined(DST_DEPTH) |
| 1516 | int z = get_global_id(2); // spatial coordinate y |
| 1517 | #endif // defined(DST_DEPTH) |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1518 | |
| 1519 | Vector weights = CONVERT_TO_VECTOR_STRUCT(weights); |
| 1520 | |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1521 | #if defined(DST_DEPTH) |
| 1522 | __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) * VEC_SIZE + b * src_stride_w; |
| 1523 | #else /* defined(DST_DEPTH) */ |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1524 | __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) * VEC_SIZE; |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1525 | #endif /* defined(DST_DEPTH) */ |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1526 | |
| 1527 | int z_coord = 0; |
| 1528 | int4 offset = 0; |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1529 | int4 y_offset = ((int4)(y * CONV_STRIDE_X) + (int4)(0, DILATION_X * 1, DILATION_X * 2, DILATION_X * 3) - CONV_PAD_LEFT) * (int4)src_stride_y; |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1530 | |
| 1531 | // We compute 2x1x1 [C,W,H] elements |
| 1532 | VEC_FLOAT acc = 0; |
| 1533 | |
| 1534 | // Load weights |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1535 | VEC_FLOAT w0 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 0 * weights_stride_y + 0 * weights_stride_z)); |
| 1536 | VEC_FLOAT w1 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 1 * weights_stride_y + 0 * weights_stride_z)); |
| 1537 | VEC_FLOAT w2 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 2 * weights_stride_y + 0 * weights_stride_z)); |
| 1538 | VEC_FLOAT w3 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 0 * weights_stride_y + 1 * weights_stride_z)); |
| 1539 | VEC_FLOAT w4 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 1 * weights_stride_y + 1 * weights_stride_z)); |
| 1540 | VEC_FLOAT w5 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 2 * weights_stride_y + 1 * weights_stride_z)); |
| 1541 | VEC_FLOAT w6 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 0 * weights_stride_y + 2 * weights_stride_z)); |
| 1542 | VEC_FLOAT w7 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 1 * weights_stride_y + 2 * weights_stride_z)); |
| 1543 | VEC_FLOAT w8 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 2 * weights_stride_y + 2 * weights_stride_z)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1544 | |
| 1545 | // Load input values |
| 1546 | // z == 0 |
| 1547 | // Clamp z_coord as for z = 0, it can be negative |
| 1548 | // z_coord is casted to unsigned int in order to use just a min() operation |
| 1549 | // A "-1" 32 bit signed variable converted to unsigned gives 4294967295 |
| 1550 | z_coord = z * CONV_STRIDE_Y - (int)CONV_PAD_TOP; |
| 1551 | z_coord = min((uint)z_coord, (uint)SRC_DIM_2); |
| 1552 | offset = y_offset + (int4)(z_coord * src_stride_z); |
Georgios Pinitas | ed32f43 | 2018-07-10 17:03:11 +0100 | [diff] [blame] | 1553 | offset = min(offset, (int4)max_offset); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1554 | |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1555 | VEC_FLOAT values0 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); |
| 1556 | VEC_FLOAT values1 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); |
| 1557 | VEC_FLOAT values2 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1558 | |
| 1559 | // z == 1 |
| 1560 | // z_coord can be only negative for z = 0 so we do not need to clamp it |
| 1561 | // Moreover z_coord cannot be out-of-bound for z = 1 so we do not need to clamp the offset |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1562 | z_coord = z * CONV_STRIDE_Y - (int)CONV_PAD_TOP + DILATION_Y; |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1563 | offset = y_offset + (int4)(z_coord * src_stride_z); |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1564 | VEC_FLOAT values3 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); |
| 1565 | VEC_FLOAT values4 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); |
| 1566 | VEC_FLOAT values5 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1567 | |
| 1568 | // z == 2 |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1569 | // Offset can be out-of-bound so we need to check if it is greater than max_offset |
| 1570 | z_coord = z * CONV_STRIDE_Y - (int)CONV_PAD_TOP + DILATION_Y * 2; |
| 1571 | offset = y_offset + (int4)(z_coord * src_stride_z); |
Georgios Pinitas | ed32f43 | 2018-07-10 17:03:11 +0100 | [diff] [blame] | 1572 | offset = min(offset, (int4)max_offset); |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1573 | VEC_FLOAT values6 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); |
| 1574 | VEC_FLOAT values7 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); |
| 1575 | VEC_FLOAT values8 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1576 | |
| 1577 | acc = fma(values0, w0, acc); |
| 1578 | acc = fma(values1, w1, acc); |
| 1579 | acc = fma(values2, w2, acc); |
| 1580 | |
| 1581 | acc = fma(values3, w3, acc); |
| 1582 | acc = fma(values4, w4, acc); |
| 1583 | acc = fma(values5, w5, acc); |
| 1584 | |
| 1585 | acc = fma(values6, w6, acc); |
| 1586 | acc = fma(values7, w7, acc); |
| 1587 | acc = fma(values8, w8, acc); |
| 1588 | |
| 1589 | #if defined(HAS_BIAS) |
| 1590 | Vector biases = CONVERT_TO_VECTOR_STRUCT(biases); |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1591 | VEC_FLOAT bias_values = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)biases.ptr); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1592 | acc += bias_values; |
| 1593 | #endif // defined(HAS_BIAS) |
| 1594 | |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1595 | #if defined(DST_DEPTH) |
| 1596 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + z * dst_step_z + b * dst_stride_w; |
| 1597 | #else /* defined(DST_DEPTH) */ |
| 1598 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + z * dst_step_z; |
| 1599 | #endif /* defined(DST_DEPTH) */ |
| 1600 | |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1601 | VSTORE(VEC_SIZE) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1602 | (acc, 0, (__global DATA_TYPE *)(dst_addr)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1603 | } |
| 1604 | #endif // defined(CONV_STRIDE_X) && defined(CONV_STRIDE_Y) |
| 1605 | |
| 1606 | #if defined(NUM_ROWS_PROCESSED) && defined(NUM_PLANES_PROCESSED) |
| 1607 | /** This function computes the depthwise convolution for NHWC data layout when the stride along the width and height is 1. |
| 1608 | * |
| 1609 | * @note The number of elements read per thread must be passed at compile time using -DVEC_SIZE (e.g. -DVEC_SIZE=2) |
| 1610 | * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) |
| 1611 | * @note The number of rows processed per thread must be passed at compile time using -DNUM_ROWS_PROCESSED (i.e. -DNUM_ROWS_PROCESSED=2) |
| 1612 | * @note The number of planes processed per thread must be passed at compile time using -DNUM_PLANES_PROCESSED (i.e. -DNUM_PLANES_PROCESSED=2) |
| 1613 | * @note The convolution pad top must be passed at compile time using -DCONV_PAD_TOP (e.g. -DCONV_PAD_TOP=1) |
| 1614 | * @note The convolution pad top must be passed at compile time using -DCONV_PAD_LEFT (e.g. -DCONV_PAD_LEFT=1) |
| 1615 | * |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1616 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: FP32 |
| 1617 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1618 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1619 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1620 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1621 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1622 | * @param[in] src_step_z src_stride_y * number of elements along Z processed per workitem(in bytes) |
| 1623 | * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) |
| 1624 | * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) |
| 1625 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1626 | * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: same as src_ptr |
| 1627 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 1628 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 1629 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 1630 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1631 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 1632 | * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1633 | * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) |
| 1634 | * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1635 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 1636 | * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: QASYMM8 |
| 1637 | * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| 1638 | * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| 1639 | * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| 1640 | * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) |
| 1641 | * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| 1642 | * @param[in] weights_step_z weights_stride_z * number of elements along Y processed per workitem(in bytes) |
| 1643 | * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor |
| 1644 | * @param[in] max_offset Max offset for the input tensor |
| 1645 | * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: same as src_ptr |
| 1646 | * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) |
| 1647 | * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 1648 | * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector |
| 1649 | */ |
| 1650 | __kernel void depthwise_convolution_3x3_nhwc_stride1( |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1651 | TENSOR4D_DECLARATION(src), |
| 1652 | TENSOR4D_DECLARATION(dst), |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1653 | TENSOR3D_DECLARATION(weights), |
| 1654 | #if defined(HAS_BIAS) |
| 1655 | VECTOR_DECLARATION(biases), |
| 1656 | #endif /* defined(HAS_BIAS) */ |
| 1657 | int max_offset) |
| 1658 | { |
| 1659 | int x = get_global_id(0); // channels |
| 1660 | int y = get_global_id(1); // spatial coordinate x |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1661 | #if defined(DST_DEPTH) |
| 1662 | int z = get_global_id(2) % (int)DST_DEPTH; // spatial coordinate y |
| 1663 | int b = get_global_id(2) / (int)DST_DEPTH; // batch |
Usama Arif | e73686a | 2019-04-08 17:30:48 +0100 | [diff] [blame^] | 1664 | #else // defined(DST_DEPTH) |
| 1665 | int z = get_global_id(2); // spatial coordinate y |
| 1666 | #endif // defined(DST_DEPTH) |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1667 | |
| 1668 | Vector weights = CONVERT_TO_VECTOR_STRUCT(weights); |
| 1669 | |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1670 | #if defined(DST_DEPTH) |
| 1671 | __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) * VEC_SIZE + b * src_stride_w; |
| 1672 | #else /* defined(DST_DEPTH) */ |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1673 | __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) * VEC_SIZE; |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1674 | #endif /* defined(DST_DEPTH) */ |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1675 | |
| 1676 | int z_coord = 0; |
| 1677 | int4 offset = 0; |
Georgios Pinitas | ed32f43 | 2018-07-10 17:03:11 +0100 | [diff] [blame] | 1678 | int4 y_offset = ((int4)(y * NUM_ROWS_PROCESSED) + (int4)(0, 1, 2, 3) - (int)CONV_PAD_LEFT) * (int4)src_stride_y; |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1679 | |
| 1680 | // We compute 2x2x2 [C,W,H] elements |
| 1681 | VEC_FLOAT acc0 = 0; |
| 1682 | VEC_FLOAT acc1 = 0; |
| 1683 | VEC_FLOAT acc2 = 0; |
| 1684 | VEC_FLOAT acc3 = 0; |
| 1685 | |
| 1686 | // Load weights |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1687 | VEC_FLOAT w0 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 0 * weights_stride_y + 0 * weights_stride_z)); |
| 1688 | VEC_FLOAT w1 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 1 * weights_stride_y + 0 * weights_stride_z)); |
| 1689 | VEC_FLOAT w2 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 2 * weights_stride_y + 0 * weights_stride_z)); |
| 1690 | VEC_FLOAT w3 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 0 * weights_stride_y + 1 * weights_stride_z)); |
| 1691 | VEC_FLOAT w4 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 1 * weights_stride_y + 1 * weights_stride_z)); |
| 1692 | VEC_FLOAT w5 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 2 * weights_stride_y + 1 * weights_stride_z)); |
| 1693 | VEC_FLOAT w6 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 0 * weights_stride_y + 2 * weights_stride_z)); |
| 1694 | VEC_FLOAT w7 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 1 * weights_stride_y + 2 * weights_stride_z)); |
| 1695 | VEC_FLOAT w8 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(weights.ptr + 2 * weights_stride_y + 2 * weights_stride_z)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1696 | |
| 1697 | // Load input values |
| 1698 | // z == 0 |
| 1699 | // Clamp z_coord as for z = 0, it can be negative |
| 1700 | // z_coord is casted to unsigned int in order to use just a min() operation |
| 1701 | // A "-1" 32 bit signed variable converted to unsigned gives 4294967295 |
Georgios Pinitas | ed32f43 | 2018-07-10 17:03:11 +0100 | [diff] [blame] | 1702 | z_coord = z * (int)NUM_PLANES_PROCESSED - (int)CONV_PAD_TOP; |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1703 | z_coord = min((uint)z_coord, (uint)SRC_DIM_2); |
| 1704 | offset = y_offset + (int4)(z_coord * src_stride_z); |
Georgios Pinitas | ed32f43 | 2018-07-10 17:03:11 +0100 | [diff] [blame] | 1705 | offset = min(offset, (int4)max_offset); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1706 | |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1707 | VEC_FLOAT values0 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); |
| 1708 | VEC_FLOAT values1 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); |
| 1709 | VEC_FLOAT values2 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); |
| 1710 | VEC_FLOAT values3 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s3)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1711 | |
| 1712 | // z == 1 |
| 1713 | // z_coord can be only negative for z = 0 so we do not need to clamp it |
| 1714 | // Moreover z_coord cannot be out-of-bound for z = 1 so we do not need to clamp the offset |
Georgios Pinitas | ed32f43 | 2018-07-10 17:03:11 +0100 | [diff] [blame] | 1715 | z_coord = z * (int)NUM_PLANES_PROCESSED - (int)CONV_PAD_TOP + 1; |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1716 | offset = y_offset + (int4)(z_coord * src_stride_z); |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1717 | VEC_FLOAT values4 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); |
| 1718 | VEC_FLOAT values5 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); |
| 1719 | VEC_FLOAT values6 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); |
| 1720 | VEC_FLOAT values7 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s3)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1721 | |
| 1722 | // z == 2 |
| 1723 | // After z = 1 we can simply add src_stride_z to offset without updating z_coord |
| 1724 | // However offset can be out-of-bound so we need to check if it is greater than max_offset |
| 1725 | offset += (int4)src_stride_z; |
Georgios Pinitas | ed32f43 | 2018-07-10 17:03:11 +0100 | [diff] [blame] | 1726 | offset = min(offset, (int4)max_offset); |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1727 | VEC_FLOAT values8 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); |
| 1728 | VEC_FLOAT values9 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); |
| 1729 | VEC_FLOAT values10 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); |
| 1730 | VEC_FLOAT values11 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s3)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1731 | |
| 1732 | // z == 3 |
| 1733 | // After z = 1 we can simply add src_stride_z to offset without updating z_coord |
| 1734 | // However offset can be out-of-bound so we need to check if it is greater than max_offset |
Georgios Pinitas | ed32f43 | 2018-07-10 17:03:11 +0100 | [diff] [blame] | 1735 | offset += (int4)src_stride_z; |
| 1736 | offset = min(offset, (int4)max_offset); |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1737 | VEC_FLOAT values12 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); |
| 1738 | VEC_FLOAT values13 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); |
| 1739 | VEC_FLOAT values14 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); |
| 1740 | VEC_FLOAT values15 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s3)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1741 | |
| 1742 | acc0 = fma(values0, w0, acc0); |
| 1743 | acc0 = fma(values1, w1, acc0); |
| 1744 | acc0 = fma(values2, w2, acc0); |
| 1745 | acc1 = fma(values1, w0, acc1); |
| 1746 | acc1 = fma(values2, w1, acc1); |
| 1747 | acc1 = fma(values3, w2, acc1); |
| 1748 | |
| 1749 | acc0 = fma(values4, w3, acc0); |
| 1750 | acc0 = fma(values5, w4, acc0); |
| 1751 | acc0 = fma(values6, w5, acc0); |
| 1752 | acc1 = fma(values5, w3, acc1); |
| 1753 | acc1 = fma(values6, w4, acc1); |
| 1754 | acc1 = fma(values7, w5, acc1); |
| 1755 | |
| 1756 | acc0 = fma(values8, w6, acc0); |
| 1757 | acc0 = fma(values9, w7, acc0); |
| 1758 | acc0 = fma(values10, w8, acc0); |
| 1759 | acc1 = fma(values9, w6, acc1); |
| 1760 | acc1 = fma(values10, w7, acc1); |
| 1761 | acc1 = fma(values11, w8, acc1); |
| 1762 | |
| 1763 | acc2 = fma(values4, w0, acc2); |
| 1764 | acc2 = fma(values5, w1, acc2); |
| 1765 | acc2 = fma(values6, w2, acc2); |
| 1766 | acc3 = fma(values5, w0, acc3); |
| 1767 | acc3 = fma(values6, w1, acc3); |
| 1768 | acc3 = fma(values7, w2, acc3); |
| 1769 | |
| 1770 | acc2 = fma(values8, w3, acc2); |
| 1771 | acc2 = fma(values9, w4, acc2); |
| 1772 | acc2 = fma(values10, w5, acc2); |
| 1773 | acc3 = fma(values9, w3, acc3); |
| 1774 | acc3 = fma(values10, w4, acc3); |
| 1775 | acc3 = fma(values11, w5, acc3); |
| 1776 | |
| 1777 | acc2 = fma(values12, w6, acc2); |
| 1778 | acc2 = fma(values13, w7, acc2); |
| 1779 | acc2 = fma(values14, w8, acc2); |
| 1780 | acc3 = fma(values13, w6, acc3); |
| 1781 | acc3 = fma(values14, w7, acc3); |
| 1782 | acc3 = fma(values15, w8, acc3); |
| 1783 | |
| 1784 | #if defined(HAS_BIAS) |
| 1785 | Vector biases = CONVERT_TO_VECTOR_STRUCT(biases); |
| 1786 | |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1787 | VEC_FLOAT bias_values = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)biases.ptr); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1788 | |
| 1789 | acc0 += bias_values; |
| 1790 | acc1 += bias_values; |
| 1791 | acc2 += bias_values; |
| 1792 | acc3 += bias_values; |
| 1793 | #endif // defined(HAS_BIAS) |
| 1794 | |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1795 | #if defined(DST_DEPTH) |
| 1796 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + (z * NUM_PLANES_PROCESSED) * dst_step_z + b * dst_stride_w; |
| 1797 | #else /* defined(DST_DEPTH) */ |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1798 | __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + (z * NUM_PLANES_PROCESSED) * dst_step_z; |
Georgios Pinitas | 3704464 | 2018-10-30 14:53:25 +0000 | [diff] [blame] | 1799 | #endif /* defined(DST_DEPTH) */ |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1800 | |
| 1801 | VSTORE(VEC_SIZE) |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1802 | (acc0, 0, (__global DATA_TYPE *)(dst_addr + 0 * dst_stride_y)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1803 | VSTORE(VEC_SIZE) |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1804 | (acc1, 0, (__global DATA_TYPE *)(dst_addr + 1 * dst_stride_y)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1805 | |
| 1806 | #if((DST_DIM_2 % NUM_PLANES_PROCESSED) != 0) |
| 1807 | if((z * NUM_PLANES_PROCESSED + 1) < DST_DIM_2) |
| 1808 | #endif // ((DST_DIM_2 % NUM_PLANES_PROCESSED) != 0) |
| 1809 | { |
| 1810 | VSTORE(VEC_SIZE) |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1811 | (acc2, 0, (__global DATA_TYPE *)(dst_addr + 0 * dst_stride_y + 1 * dst_stride_z)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1812 | VSTORE(VEC_SIZE) |
Giorgio Arena | e6bb3c6 | 2018-08-23 11:19:11 +0100 | [diff] [blame] | 1813 | (acc3, 0, (__global DATA_TYPE *)(dst_addr + 1 * dst_stride_y + 1 * dst_stride_z)); |
Giorgio Arena | d051e97 | 2018-06-20 11:46:42 +0100 | [diff] [blame] | 1814 | } |
| 1815 | } |
| 1816 | |
| 1817 | #endif // defined(NUM_ROWS_PROCESSED) && defined(NUM_PLANES_PROCESSED) |
giuros01 | 6d10996 | 2019-01-07 17:47:19 +0000 | [diff] [blame] | 1818 | #endif // defined(VEC_SIZE) && defined(SRC_DIM_2) && defined(CONV_PAD_TOP) && defined(CONV_PAD_LEFT) && defined(DATA_TYPE) |