Chunosov | d621bca | 2017-11-03 17:33:15 +0700 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "helpers_asymm.h" |
| 25 | |
| 26 | #undef CONVERT_SAT |
| 27 | |
| 28 | #if defined(DATA_TYPE) && defined(STRIDE_X) && defined(WEIGHTS_DEPTH) |
| 29 | |
| 30 | #if KERNEL_SIZE == 5 |
| 31 | |
| 32 | #if STRIDE_X == 1 |
| 33 | #define CONVOLUTION1x5(acc, src_row_ptr, weights_row_ptr) CONVOLUTION1x5_STRIDE1(acc, src_row_ptr, weights_row_ptr) |
| 34 | #elif STRIDE_X == 2 |
| 35 | #define CONVOLUTION1x5(acc, src_row_ptr, weights_row_ptr) CONVOLUTION1x5_STRIDE2(acc, src_row_ptr, weights_row_ptr) |
| 36 | #else /* STRIDE_X not equals 1 or 2 */ |
| 37 | #error "STRIDE_X larger than 2 is not supported" |
| 38 | #endif /* STRIDE_X */ |
| 39 | |
| 40 | #define CONVOLUTION1x5_STRIDE1(acc, src_row_ptr, weights_row_ptr) \ |
| 41 | ({ \ |
| 42 | int4 weights_values0 = convert_int4(vload4(0, weights_row_ptr)); \ |
| 43 | int weights_value1 = convert_int(*(weights_row_ptr + 4)); \ |
| 44 | int8 src0 = convert_int8(vload8(0, src_row_ptr)); \ |
| 45 | int4 src1 = convert_int4(vload4(0, src_row_ptr + 8)); \ |
| 46 | acc += (src0 + input_offset) * ((int8)weights_values0.s0 + weight_offset); \ |
| 47 | acc += ((int8)(src0.s1234, src0.s567, src1.s0) + input_offset) * ((int8)weights_values0.s1 + weight_offset); \ |
| 48 | acc += ((int8)(src0.s234, src0.s567, src1.s01) + input_offset) * ((int8)weights_values0.s2 + weight_offset); \ |
| 49 | acc += ((int8)(src0.s345, src0.s67, src1.s012) + input_offset) * ((int8)weights_values0.s3 + weight_offset); \ |
| 50 | acc += ((int8)(src0.s45, src0.s67, src1.s0123) + input_offset) * ((int8)weights_value1 + weight_offset); \ |
| 51 | }) |
| 52 | |
| 53 | #define CONVOLUTION1x5_STRIDE2(acc, src_row_ptr, weights_row_ptr) \ |
| 54 | ({ \ |
| 55 | int4 weights_values0 = convert_int4(vload4(0, weights_row_ptr)); \ |
| 56 | int weights_value1 = convert_int(*(weights_row_ptr + 4)); \ |
| 57 | int16 src0 = convert_int16(vload16(0, src_row_ptr)); \ |
| 58 | int4 src1 = convert_int4(vload4(0, src_row_ptr + 16)); \ |
| 59 | acc += (src0.even + input_offset) * ((int8)weights_values0.s0 + weight_offset); \ |
| 60 | acc += ((int8)(src0.s1357, src0.s9BDF) + input_offset) * ((int8)weights_values0.s1 + weight_offset); \ |
| 61 | acc += ((int8)(src0.s2468, src0.sACE, src1.s0) + input_offset) * ((int8)weights_values0.s2 + weight_offset); \ |
| 62 | acc += ((int8)(src0.s3579, src0.sBDF, src1.s1) + input_offset) * ((int8)weights_values0.s3 + weight_offset); \ |
| 63 | acc += ((int8)(src0.s468a, src0.sCE, src1.s02) + input_offset) * ((int8)weights_value1 + weight_offset); \ |
| 64 | }) |
| 65 | |
| 66 | #elif KERNEL_SIZE == 3 |
| 67 | |
| 68 | #if STRIDE_X == 1 |
| 69 | #define CONVOLUTION1x3(acc, src_row_ptr, weights_row_ptr) CONVOLUTION1x3_STRIDE1(acc, src_row_ptr, weights_row_ptr) |
| 70 | #elif STRIDE_X == 2 |
| 71 | #define CONVOLUTION1x3(acc, src_row_ptr, weights_row_ptr) CONVOLUTION1x3_STRIDE2(acc, src_row_ptr, weights_row_ptr) |
| 72 | #else /* STRIDE_X not equals 1 or 2 */ |
| 73 | #error "STRIDE_X larger than 2 is not supported" |
| 74 | #endif /* STRIDE_X */ |
| 75 | |
| 76 | #define CONVOLUTION1x3_STRIDE1(acc, src_row_ptr, weights_row_ptr) \ |
| 77 | ({ \ |
| 78 | int3 weights_values0 = convert_int3(vload3(0, weights_row_ptr)); \ |
| 79 | int8 src0 = convert_int8(vload8(0, src_row_ptr)); \ |
| 80 | int2 src1 = convert_int2(vload2(0, src_row_ptr + 8)); \ |
| 81 | acc += (src0 + input_offset) * ((int8)weights_values0.s0 + weight_offset); \ |
| 82 | acc += ((int8)(src0.s1234, src0.s567, src1.s0) + input_offset) * ((int8)weights_values0.s1 + weight_offset); \ |
| 83 | acc += ((int8)(src0.s234, src0.s567, src1.s01) + input_offset) * ((int8)weights_values0.s2 + weight_offset); \ |
| 84 | }) |
| 85 | |
| 86 | #define CONVOLUTION1x3_STRIDE2(acc, src_row_ptr, weights_row_ptr) \ |
| 87 | ({ \ |
| 88 | int3 weights_values0 = convert_int3(vload3(0, weights_row_ptr)); \ |
| 89 | int16 src0 = convert_int16(vload16(0, src_row_ptr)); \ |
| 90 | int src1 = convert_int(*(src_row_ptr + 16)); \ |
| 91 | acc += (src0.even + input_offset) * ((int8)weights_values0.s0 + weight_offset); \ |
| 92 | acc += ((int8)(src0.s1357, src0.s9BDF) + input_offset) * ((int8)weights_values0.s1 + weight_offset); \ |
| 93 | acc += ((int8)(src0.s2468, src0.sACE, src1) + input_offset) * ((int8)weights_values0.s2 + weight_offset); \ |
| 94 | }) |
| 95 | |
| 96 | #elif KERNEL_SIZE == 1 |
| 97 | |
| 98 | #if STRIDE_X == 3 |
| 99 | #define INPUT_PIXEL extract_input_stride3 |
| 100 | #elif STRIDE_X == 2 |
| 101 | #define INPUT_PIXEL extract_input_stride2 |
| 102 | #elif STRIDE_X == 1 |
| 103 | #define INPUT_PIXEL extract_input_stride1 |
| 104 | |
| 105 | #else /* STRIDE_X not equals 1, 2 or 3 */ |
| 106 | #error "Only support strides 1, 2 and 3" |
| 107 | #endif /* STRIDE_X */ |
| 108 | |
| 109 | /** Extracts a 1D horizontal vector from the input tensor with stride as 1. |
| 110 | * |
| 111 | * @param[in] input_pixel Pointer to the first pixel. |
| 112 | * |
| 113 | * @return extracted input pixels. |
| 114 | */ |
| 115 | inline uchar8 extract_input_stride1(__global const uchar *input_pixel) |
| 116 | { |
| 117 | return vload8(0, input_pixel); |
| 118 | } |
| 119 | |
| 120 | /** Extracts a 1D horizontal vector from the input tensor with stride as 2. |
| 121 | * |
| 122 | * @param[in] input_pixel Pointer to the first pixel. |
| 123 | * |
| 124 | * @return extracted input pixels. |
| 125 | */ |
| 126 | inline uchar8 extract_input_stride2(__global const uchar *input_pixel) |
| 127 | { |
| 128 | uchar16 temp = vload16(0, input_pixel); |
| 129 | return temp.s02468ace; |
| 130 | } |
| 131 | |
| 132 | /** Extracts a 1D horizontal vector from the input tensor with stride as 3 and 8-bit data size. |
| 133 | * |
| 134 | * @param[in] input_pixel Pointer to the first pixel. |
| 135 | * |
| 136 | * @return extracted input pixels. |
| 137 | */ |
| 138 | inline uchar8 extract_input_stride3(__global const uchar *input_pixel) |
| 139 | { |
| 140 | uchar16 temp1 = vload16(0, input_pixel); |
| 141 | uchar16 temp2 = vload16(0, input_pixel + 12); |
| 142 | return (uchar8)(temp1.s0369, temp2.s0369); |
| 143 | } |
| 144 | |
| 145 | #else /* KERNEL_SIZE not equals 1, 3 or 5 */ |
| 146 | #error "Only kernel sizes 1, 3 and 5 are supported" |
| 147 | #endif /* KERNEL_SIZE */ |
| 148 | |
| 149 | /** This kernel performs a direct convolution to convolve the low three dimensions. |
| 150 | * |
| 151 | * @note The convolution stride x must be passed at compile time using -DSTRIDE_X e.g. -DSTRIDE_X=1 |
| 152 | * @note The third dimensions of the weights tensors must be passed at compile time using -DWEIGHTS_DEPTH |
| 153 | * @note If biases are used then -DHAS_BIAS has to be passed at compile time |
| 154 | * |
| 155 | * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8 |
| 156 | * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| 157 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 158 | * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 159 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 160 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 161 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 162 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| 163 | * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| 164 | * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 165 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 166 | * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 167 | * @param[in] dst_step_y dst_stride_y * number of elements along Z processed per workitem(in bytes) |
| 168 | * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 169 | * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| 170 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
Joel Liang | f1f3ebd | 2017-11-10 09:59:19 +0800 | [diff] [blame] | 171 | * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: same as @p weights_ptr |
Chunosov | d621bca | 2017-11-03 17:33:15 +0700 | [diff] [blame] | 172 | * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| 173 | * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| 174 | * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| 175 | * @param[in] weights_step_y weights_stride_y * number of elements along y processed per workitem(in bytes) |
| 176 | * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| 177 | * @param[in] weights_step_z weights_stride_z * number of elements along Z processed per workitem(in bytes) |
| 178 | * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor |
Georgios Pinitas | 540d008 | 2017-11-17 10:55:00 +0000 | [diff] [blame] | 179 | * @param[in] biases_ptr Pointer to the biases tensor. Supported data types: S32 |
Chunosov | d621bca | 2017-11-03 17:33:15 +0700 | [diff] [blame] | 180 | * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| 181 | * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 182 | * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases tensor |
| 183 | * @param[in] weights_stride_w Stride of the weights tensor in the 4th dimension |
| 184 | * @param[in] input_offset Input offset quantization parameter |
| 185 | * @param[in] weight_offset Weights offset quantization parameter |
| 186 | * @param[in] output_offset Output offset quantization parameter |
| 187 | * @param[in] output_multiplier Output integer multiplier quantization parameter |
| 188 | * @param[in] output_shift Output integer shift quantization parameter |
| 189 | */ |
| 190 | __kernel void direct_convolution_1x1_3x3_5x5_quantized( |
| 191 | TENSOR3D_DECLARATION(src), |
| 192 | TENSOR3D_DECLARATION(dst), |
| 193 | TENSOR3D_DECLARATION(weights), |
| 194 | #ifdef HAS_BIAS |
| 195 | VECTOR_DECLARATION(biases), |
| 196 | #endif /* defined(HAS_BIAS) */ |
| 197 | unsigned int weights_stride_w, |
| 198 | int input_offset, |
| 199 | int weight_offset, |
| 200 | int output_offset, |
| 201 | int output_multiplier, |
| 202 | int output_shift) |
| 203 | { |
| 204 | Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| 205 | Tensor3D weights = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
| 206 | Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
| 207 | |
| 208 | int8 pixels0 = 0; |
| 209 | |
| 210 | __global uchar *weights_addr = (__global uchar *)tensor3D_offset(&weights, 0, 0, 0); |
| 211 | __global uchar *src_addr = (__global uchar *)offset(&src, 0, 0); |
| 212 | |
| 213 | const int kernel_index = get_global_id(2); |
| 214 | weights_addr += kernel_index * weights_stride_w; |
| 215 | |
| 216 | for(volatile int d = 0; d < WEIGHTS_DEPTH; ++d) |
| 217 | { |
| 218 | #if KERNEL_SIZE == 5 |
| 219 | CONVOLUTION1x5(pixels0, (__global uchar *)src_addr, (__global uchar *)weights_addr); |
| 220 | CONVOLUTION1x5(pixels0, (__global uchar *)(src_addr + 1 * src_stride_y), (__global uchar *)(weights_addr + 1 * weights_stride_y)); |
| 221 | CONVOLUTION1x5(pixels0, (__global uchar *)(src_addr + 2 * src_stride_y), (__global uchar *)(weights_addr + 2 * weights_stride_y)); |
| 222 | CONVOLUTION1x5(pixels0, (__global uchar *)(src_addr + 3 * src_stride_y), (__global uchar *)(weights_addr + 3 * weights_stride_y)); |
| 223 | CONVOLUTION1x5(pixels0, (__global uchar *)(src_addr + 4 * src_stride_y), (__global uchar *)(weights_addr + 4 * weights_stride_y)); |
| 224 | #elif KERNEL_SIZE == 3 |
| 225 | CONVOLUTION1x3(pixels0, (__global uchar *)(src_addr + 0 * src_stride_y), (__global uchar *)(weights_addr + 0 * weights_stride_y)); |
| 226 | CONVOLUTION1x3(pixels0, (__global uchar *)(src_addr + 1 * src_stride_y), (__global uchar *)(weights_addr + 1 * weights_stride_y)); |
| 227 | CONVOLUTION1x3(pixels0, (__global uchar *)(src_addr + 2 * src_stride_y), (__global uchar *)(weights_addr + 2 * weights_stride_y)); |
| 228 | #elif KERNEL_SIZE == 1 |
| 229 | int weight = convert_int(*(__global uchar *)weights_addr); |
| 230 | int8 input_pixel = convert_int8(INPUT_PIXEL((__global uchar *)src_addr)); |
| 231 | pixels0 += (input_pixel + input_offset) * ((int8)weight + weight_offset); |
| 232 | #endif /* (KERNEL_SIZE == 1) || (KERNEL_SIZE == 3) || (KERNEL_SIZE == 5) */ |
| 233 | |
| 234 | src_addr += src_stride_z; |
| 235 | weights_addr += weights_stride_z; |
| 236 | } |
| 237 | |
| 238 | #ifdef HAS_BIAS |
Georgios Pinitas | 540d008 | 2017-11-17 10:55:00 +0000 | [diff] [blame] | 239 | Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| 240 | __global int *bias_addr = ((__global int *)(vector_offset(&biases, kernel_index))); |
| 241 | pixels0 += (int8)(*bias_addr); |
Chunosov | d621bca | 2017-11-03 17:33:15 +0700 | [diff] [blame] | 242 | #endif /* defined(HAS_BIAS) */ |
| 243 | |
| 244 | pixels0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(pixels0, output_multiplier, output_shift, 8); |
| 245 | pixels0 = pixels0 + output_offset; |
Chunosov | d621bca | 2017-11-03 17:33:15 +0700 | [diff] [blame] | 246 | |
Georgios Pinitas | 6fdfaa8 | 2017-11-29 14:27:24 +0000 | [diff] [blame] | 247 | vstore8(convert_uchar8_sat(pixels0), 0, (__global uchar *)dst.ptr); |
Chunosov | d621bca | 2017-11-03 17:33:15 +0700 | [diff] [blame] | 248 | } |
| 249 | #endif // defined(DATA_TYPE) && defined(STRIDE_X) && defined(WEIGHTS_DEPTH) |