Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
Georgios Pinitas | 652bde5 | 2018-01-10 15:33:28 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2018 ARM Limited. |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "helpers.h" |
| 25 | |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 26 | #if defined(VEC_SIZE) && defined(DATA_TYPE) |
| 27 | |
Michalis Spyrou | 172e570 | 2017-06-26 14:18:47 +0100 | [diff] [blame] | 28 | #define ADD_OP(a, b) ((a) + (b)) |
| 29 | #define SUB_OP(a, b) ((a) - (b)) |
| 30 | #define MUL_OP(a, b) ((a) * (b)) |
| 31 | #define INVSQRT_OP(a) rsqrt((a)) |
| 32 | #define SQCVT_SAT(a) (a) |
| 33 | |
Giorgio Arena | 99ac60b | 2018-02-16 15:17:23 +0000 | [diff] [blame] | 34 | #if defined(FUSED_ACTIVATION) |
| 35 | #include "activation_layer.cl" |
| 36 | #define ACTIVATION_FUNC(x) ACTIVATION_OP(FUSED_ACTIVATION, x) |
| 37 | #else /* defined(FUSED_ACTIVATION) */ |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 38 | #define ACTIVATION_FUNC(x) (x) |
Giorgio Arena | 99ac60b | 2018-02-16 15:17:23 +0000 | [diff] [blame] | 39 | #endif /* defined(FUSED_ACTIVATION) */ |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 40 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 41 | /** Apply batch normalization. |
| 42 | * |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 43 | * @param[in] input_ptr Pointer to the first source tensor. Supported data types: F16/F32 |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 44 | * @param[in] input_stride_x Stride of the first source tensor in X dimension (in bytes) |
| 45 | * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| 46 | * @param[in] input_stride_y Stride of the first source tensor in Y dimension (in bytes) |
| 47 | * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| 48 | * @param[in] input_stride_z Stride of the first source tensor in Z dimension (in bytes) |
| 49 | * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| 50 | * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor |
Michalis Spyrou | 172e570 | 2017-06-26 14:18:47 +0100 | [diff] [blame] | 51 | * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 52 | * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 53 | * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| 54 | * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 55 | * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| 56 | * @param[in] output_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 57 | * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| 58 | * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor |
Michalis Spyrou | 172e570 | 2017-06-26 14:18:47 +0100 | [diff] [blame] | 59 | * @param[in] mean_ptr Pointer to the mean source tensor. Supported data types: same as @p input_ptr |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 60 | * @param[in] mean_stride_x Stride of the mean source tensor in X dimension (in bytes) |
| 61 | * @param[in] mean_step_x mean_stride_x * number of elements along X processed per workitem(in bytes) |
| 62 | * @param[in] mean_offset_first_element_in_bytes The offset of the first element in the mean source tensor |
Michalis Spyrou | 172e570 | 2017-06-26 14:18:47 +0100 | [diff] [blame] | 63 | * @param[in] var_ptr Pointer to the var tensor. Supported data types: same as @p input_ptr |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 64 | * @param[in] var_stride_x Stride of the var tensor in X dimension (in bytes) |
| 65 | * @param[in] var_step_x var_stride_x * number of elements along X processed per workitem(in bytes) |
| 66 | * @param[in] var_offset_first_element_in_bytes The offset of the first element in the var source tensor |
Michalis Spyrou | 172e570 | 2017-06-26 14:18:47 +0100 | [diff] [blame] | 67 | * @param[in] beta_ptr Pointer to the beta source tensor. Supported data types: same as @p input_ptr |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 68 | * @param[in] beta_stride_x Stride of the beta source tensor in X dimension (in bytes) |
| 69 | * @param[in] beta_step_x beta_stride_x * number of elements along X processed per workitem(in bytes) |
| 70 | * @param[in] beta_offset_first_element_in_bytes The offset of the first element in the beta source tensor |
Michalis Spyrou | 172e570 | 2017-06-26 14:18:47 +0100 | [diff] [blame] | 71 | * @param[in] gamma_ptr Pointer to the gamma source tensor. Supported data types: same as @p input_ptr |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 72 | * @param[in] gamma_stride_x Stride of the gamma source tensor in X dimension (in bytes) |
| 73 | * @param[in] gamma_step_x gamma_stride_x * number of elements along X processed per workitem(in bytes) |
| 74 | * @param[in] gamma_offset_first_element_in_bytes The offset of the first element in the gamma source tensor |
| 75 | * @param[in] epsilon Epsilon parameter in the batch normalization equation |
| 76 | */ |
Michele Di Giorgio | bf3c662 | 2018-03-08 11:52:27 +0000 | [diff] [blame] | 77 | __kernel void batchnormalization_layer_nchw(TENSOR3D_DECLARATION(input), |
Georgios Pinitas | 409ee0a | 2017-08-18 10:16:09 +0100 | [diff] [blame] | 78 | #ifndef IN_PLACE |
Michele Di Giorgio | bf3c662 | 2018-03-08 11:52:27 +0000 | [diff] [blame] | 79 | TENSOR3D_DECLARATION(output), |
Georgios Pinitas | 409ee0a | 2017-08-18 10:16:09 +0100 | [diff] [blame] | 80 | #endif /* not IN_PLACE */ |
Michele Di Giorgio | bf3c662 | 2018-03-08 11:52:27 +0000 | [diff] [blame] | 81 | VECTOR_DECLARATION(mean), |
| 82 | VECTOR_DECLARATION(var), |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 83 | #ifndef USE_DEFAULT_BETA |
Michele Di Giorgio | bf3c662 | 2018-03-08 11:52:27 +0000 | [diff] [blame] | 84 | VECTOR_DECLARATION(beta), |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 85 | #endif /* USE_DEFAULT_BETA */ |
| 86 | #ifndef USE_DEFAULT_GAMMA |
Michele Di Giorgio | bf3c662 | 2018-03-08 11:52:27 +0000 | [diff] [blame] | 87 | VECTOR_DECLARATION(gamma), |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 88 | #endif /* USE_DEFAULT_GAMMA */ |
Michele Di Giorgio | bf3c662 | 2018-03-08 11:52:27 +0000 | [diff] [blame] | 89 | float epsilon) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 90 | { |
Georgios Pinitas | 409ee0a | 2017-08-18 10:16:09 +0100 | [diff] [blame] | 91 | Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); |
| 92 | #ifdef IN_PLACE |
| 93 | Tensor3D out = in; |
| 94 | #else /* IN_PLACE */ |
| 95 | Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); |
| 96 | #endif /* IN_PLACE */ |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 97 | Vector mean = CONVERT_TO_VECTOR_STRUCT(mean); |
| 98 | Vector var = CONVERT_TO_VECTOR_STRUCT(var); |
| 99 | #ifndef USE_DEFAULT_BETA |
| 100 | Vector beta = CONVERT_TO_VECTOR_STRUCT(beta); |
| 101 | #endif /* USE_DEFAULT_BETA */ |
| 102 | #ifndef USE_DEFAULT_GAMMA |
Georgios Pinitas | 409ee0a | 2017-08-18 10:16:09 +0100 | [diff] [blame] | 103 | Vector gamma = CONVERT_TO_VECTOR_STRUCT(gamma); |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 104 | #endif /* USE_DEFAULT_GAMMA */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 105 | |
Michalis Spyrou | 172e570 | 2017-06-26 14:18:47 +0100 | [diff] [blame] | 106 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
Gian Marco Iodice | 349feef | 2017-09-28 11:21:29 +0100 | [diff] [blame] | 107 | data = 0; |
Michalis Spyrou | 172e570 | 2017-06-26 14:18:47 +0100 | [diff] [blame] | 108 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 109 | denominator = 0; |
| 110 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 111 | numerator = 0; |
| 112 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 113 | x_bar = 0; |
| 114 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 115 | res = 0; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 116 | |
| 117 | const int current_slice = get_global_id(2); |
| 118 | |
Gian Marco Iodice | 349feef | 2017-09-28 11:21:29 +0100 | [diff] [blame] | 119 | data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)in.ptr); |
Michalis Spyrou | 172e570 | 2017-06-26 14:18:47 +0100 | [diff] [blame] | 120 | denominator = *((__global DATA_TYPE *)(var.ptr + current_slice * var.stride_x)); |
Gian Marco Iodice | 349feef | 2017-09-28 11:21:29 +0100 | [diff] [blame] | 121 | denominator = INVSQRT_OP(ADD_OP(denominator, ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(epsilon)))); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 122 | |
| 123 | // Calculate x bar and store results |
Michalis Spyrou | 172e570 | 2017-06-26 14:18:47 +0100 | [diff] [blame] | 124 | numerator = *((__global DATA_TYPE *)(mean.ptr + current_slice * mean.stride_x)); |
Gian Marco Iodice | 349feef | 2017-09-28 11:21:29 +0100 | [diff] [blame] | 125 | numerator = SUB_OP(data, numerator); |
Michalis Spyrou | 172e570 | 2017-06-26 14:18:47 +0100 | [diff] [blame] | 126 | x_bar = MUL_OP(numerator, denominator); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 127 | |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 128 | #ifndef USE_DEFAULT_GAMMA |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 129 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 130 | gamma_vec = *((__global DATA_TYPE *)(gamma.ptr + current_slice * gamma.stride_x)); |
| 131 | |
| 132 | res = MUL_OP(gamma_vec, x_bar); |
| 133 | #else /* USE_DEFAULT_GAMMA */ |
| 134 | // gamma is equal to 1, no need to perform multiplications |
Michele Di Giorgio | bf3c662 | 2018-03-08 11:52:27 +0000 | [diff] [blame] | 135 | res = x_bar; |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 136 | #endif /* USE_DEFAULT_GAMMA */ |
| 137 | |
| 138 | #ifndef USE_DEFAULT_BETA |
| 139 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 140 | beta_vec = *((__global DATA_TYPE *)(beta.ptr + current_slice * beta.stride_x)); |
| 141 | // beta is not zero, hence we need to perform the addition |
| 142 | res = ADD_OP(res, beta_vec); |
| 143 | #endif /* USE_DEFAULT_BETA */ |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 144 | |
| 145 | res = ACTIVATION_FUNC(res); |
| 146 | |
Michalis Spyrou | 172e570 | 2017-06-26 14:18:47 +0100 | [diff] [blame] | 147 | VSTORE(VEC_SIZE) |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 148 | (res, 0, (__global DATA_TYPE *)out.ptr); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 149 | } |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 150 | |
Michele Di Giorgio | bf3c662 | 2018-03-08 11:52:27 +0000 | [diff] [blame] | 151 | /** Apply batch normalization on tensors with NHWC format. |
| 152 | * |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 153 | * @param[in] input_ptr Pointer to the first source tensor. Supported data types: F16/F32 |
Michele Di Giorgio | bf3c662 | 2018-03-08 11:52:27 +0000 | [diff] [blame] | 154 | * @param[in] input_stride_x Stride of the first source tensor in X dimension (in bytes) |
| 155 | * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| 156 | * @param[in] input_stride_y Stride of the first source tensor in Y dimension (in bytes) |
| 157 | * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| 158 | * @param[in] input_stride_z Stride of the first source tensor in Z dimension (in bytes) |
| 159 | * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| 160 | * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor |
| 161 | * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr |
| 162 | * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 163 | * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| 164 | * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 165 | * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| 166 | * @param[in] output_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| 167 | * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| 168 | * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 169 | * @param[in] mean_ptr Pointer to the mean source tensor. Supported data types: same as @p input_ptr |
| 170 | * @param[in] mean_stride_x Stride of the mean source tensor in X dimension (in bytes) |
| 171 | * @param[in] mean_step_x mean_stride_x * number of elements along X processed per workitem(in bytes) |
| 172 | * @param[in] mean_offset_first_element_in_bytes The offset of the first element in the mean source tensor |
| 173 | * @param[in] var_ptr Pointer to the var tensor. Supported data types: same as @p input_ptr |
| 174 | * @param[in] var_stride_x Stride of the var tensor in X dimension (in bytes) |
| 175 | * @param[in] var_step_x var_stride_x * number of elements along X processed per workitem(in bytes) |
| 176 | * @param[in] var_offset_first_element_in_bytes The offset of the first element in the var source tensor |
| 177 | * @param[in] beta_ptr Pointer to the beta source tensor. Supported data types: same as @p input_ptr |
| 178 | * @param[in] beta_stride_x Stride of the beta source tensor in X dimension (in bytes) |
| 179 | * @param[in] beta_step_x beta_stride_x * number of elements along X processed per workitem(in bytes) |
| 180 | * @param[in] beta_offset_first_element_in_bytes The offset of the first element in the beta source tensor |
| 181 | * @param[in] gamma_ptr Pointer to the gamma source tensor. Supported data types: same as @p input_ptr |
| 182 | * @param[in] gamma_stride_x Stride of the gamma source tensor in X dimension (in bytes) |
| 183 | * @param[in] gamma_step_x gamma_stride_x * number of elements along X processed per workitem(in bytes) |
| 184 | * @param[in] gamma_offset_first_element_in_bytes The offset of the first element in the gamma source tensor |
| 185 | * @param[in] epsilon Epsilon parameter in the batch normalization equation |
| 186 | */ |
| 187 | __kernel void batchnormalization_layer_nhwc(TENSOR3D_DECLARATION(input), |
| 188 | #ifndef IN_PLACE |
| 189 | TENSOR3D_DECLARATION(output), |
| 190 | #endif /* not IN_PLACE */ |
| 191 | VECTOR_DECLARATION(mean), |
| 192 | VECTOR_DECLARATION(var), |
| 193 | #ifndef USE_DEFAULT_BETA |
| 194 | VECTOR_DECLARATION(beta), |
| 195 | #endif /* USE_DEFAULT_BETA */ |
| 196 | #ifndef USE_DEFAULT_GAMMA |
| 197 | VECTOR_DECLARATION(gamma), |
| 198 | #endif /* USE_DEFAULT_GAMMA */ |
| 199 | float epsilon) |
| 200 | { |
| 201 | Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); |
| 202 | #ifdef IN_PLACE |
| 203 | Tensor3D out = in; |
| 204 | #else /* IN_PLACE */ |
| 205 | Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); |
| 206 | #endif /* IN_PLACE */ |
| 207 | Vector mean = CONVERT_TO_VECTOR_STRUCT(mean); |
| 208 | Vector var = CONVERT_TO_VECTOR_STRUCT(var); |
| 209 | #ifndef USE_DEFAULT_BETA |
| 210 | Vector beta = CONVERT_TO_VECTOR_STRUCT(beta); |
| 211 | #endif /* USE_DEFAULT_BETA */ |
| 212 | #ifndef USE_DEFAULT_GAMMA |
| 213 | Vector gamma = CONVERT_TO_VECTOR_STRUCT(gamma); |
| 214 | #endif /* USE_DEFAULT_GAMMA */ |
| 215 | |
| 216 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 217 | data = 0; |
| 218 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 219 | denominator = 0; |
| 220 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 221 | numerator = 0; |
| 222 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 223 | x_bar = 0; |
| 224 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 225 | res = 0; |
| 226 | |
| 227 | const int current_slice = get_global_id(0); |
| 228 | |
| 229 | data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)in.ptr); |
| 230 | denominator = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(var.ptr + current_slice * VEC_SIZE * var.stride_x)); |
| 231 | denominator = INVSQRT_OP(ADD_OP(denominator, ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE))SQCVT_SAT(epsilon)))); |
| 232 | |
| 233 | // Calculate x bar and store results |
| 234 | numerator = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(mean.ptr + current_slice * VEC_SIZE * mean.stride_x)); |
| 235 | numerator = SUB_OP(data, numerator); |
| 236 | x_bar = MUL_OP(numerator, denominator); |
| 237 | |
| 238 | #ifndef USE_DEFAULT_GAMMA |
| 239 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 240 | gamma_vec = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(gamma.ptr + current_slice * VEC_SIZE * gamma.stride_x)); |
| 241 | |
| 242 | res = MUL_OP(gamma_vec, x_bar); |
| 243 | #else /* USE_DEFAULT_GAMMA */ |
| 244 | // gamma is equal to 1, no need to perform multiplications |
| 245 | res = x_bar; |
| 246 | #endif /* USE_DEFAULT_GAMMA */ |
| 247 | |
| 248 | #ifndef USE_DEFAULT_BETA |
| 249 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 250 | beta_vec = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(beta.ptr + current_slice * VEC_SIZE * beta.stride_x)); |
| 251 | // beta is not zero, hence we need to perform the addition |
| 252 | res = ADD_OP(res, beta_vec); |
| 253 | #endif /* USE_DEFAULT_BETA */ |
| 254 | |
| 255 | res = ACTIVATION_FUNC(res); |
| 256 | |
| 257 | VSTORE(VEC_SIZE) |
| 258 | (res, 0, (__global DATA_TYPE *)out.ptr); |
| 259 | } |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 260 | #endif /* defined(VEC_SIZE) && defined(DATA_TYPE) */ |