1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/*
* Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "helpers.h"
#if defined(NUM_ELEMS_PROCESSED_PER_THREAD_X) && defined(NUM_ELEMS_PROCESSED_PER_THREAD_Y) && \
defined(COLS_A)
#define VECTOR_CHAR VEC_DATA_TYPE(char, NUM_ELEMS_PROCESSED_PER_THREAD_X)
#define VECTOR_INT VEC_DATA_TYPE(int, NUM_ELEMS_PROCESSED_PER_THREAD_X)
#define VECTOR_FLOAT VEC_DATA_TYPE(float, NUM_ELEMS_PROCESSED_PER_THREAD_X)
/** This OpenCL kernel computes the matrix multiplication between matrix A (src0) and matrix B
* (src1) in case both matrices have not beed reshaped
*
* @attention The number of matrix A columns needs to be passed at compile time using -DCOLS_A
*
* @note In case the input or output have to be reinterpreted as a 3D tensor, the following
* information must be passed at compile time:
* -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D
* -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D
* -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D
* tensor.
* -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor
* (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns matrix A NOT reshaped
*
* @param[in] src0_ptr Pointer to the source matrix. Supported data type:
* QASYMM8
* @param[in] src0_stride_x Stride of the source matrix in X dimension (in
* bytes)
* @param[in] src0_step_x src_stride_x * number of elements along X
* processed per workitem(in bytes)
* @param[in] src0_stride_y Stride of the source matrix in Y dimension (in
* bytes)
* @param[in] src0_step_y src_stride_y * number of elements along Y
* processed per workitem(in bytes)
* @param[in] src0_offset_first_element_in_bytes The offset of the first element in the source
* matrix
* @param[in] src1_ptr Pointer to the source matrix. Supported data type:
* same as @p src0_ptr
* @param[in] src1_stride_x Stride of the source matrix in X dimension (in
* bytes)
* @param[in] src1_step_x src_stride_x * number of elements along X
* processed per workitem(in bytes)
* @param[in] src1_stride_y Stride of the source matrix in Y dimension (in
* bytes)
* @param[in] src1_step_y src_stride_y * number of elements along Y
* processed per workitem(in bytes)
* @param[in] src1_offset_first_element_in_bytes The offset of the first element in the source
* matrix
* @param[out] dst_ptr Pointer to the destination matrix Supported data
* type: S32
* @param[in] dst_stride_x Stride of the destination matrix in X dimension
* (in bytes)
* @param[in] dst_step_x dst_gx_stride_x * number of elements along X
* processed per workitem(in bytes)
* @param[in] dst_stride_y Stride of the destination matrix in Y dimension
* (in bytes)
* @param[in] dst_step_y dst_gx_stride_y * number of elements along Y
* processed per workitem(in bytes)
* @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination
* matrix
* @param[in] src0_stride_z Stride of the source matrix in Z dimension (in
* bytes)
* @param[in] src1_stride_z Stride of the source matrix in Z dimension (in
* bytes)
* @param[in] dst_stride_z Stride of the destination tensor in Z dimension
* (in bytes)
* @param[in] src_cross_plane_pad (Optional) Bottom paddings in unit of elements for
* the input tensor (only if defined REINTERPRET_INPUT_AS_3D)
* @param[in] dst_cross_plane_pad (Optional) Bottom paddings in unit of elements for
* the output tensor (only if defined REINTERPRET_OUTPUT_AS_3D)
*/
__kernel void gemmlowp_mm_midgard_ex(IMAGE_DECLARATION(src0), IMAGE_DECLARATION(src1),
IMAGE_DECLARATION(dst), uint src0_stride_z, uint src1_stride_z,
uint dst_stride_z
#if defined(REINTERPRET_INPUT_AS_3D)
,
uint src_cross_plane_pad
#endif // REINTERPRET_INPUT_AS_3D
#if defined(REINTERPRET_OUTPUT_AS_3D)
,
uint dst_cross_plane_pad
#endif // REINTERPRET_OUTPUT_AS_3D
)
{
int idx = get_global_id(0) * NUM_ELEMS_PROCESSED_PER_THREAD_X;
// Compute starting address for matrix A and Matrix B
int2 src_addr = ((int2)(src0_offset_first_element_in_bytes, src1_offset_first_element_in_bytes));
// Update address for the matrix A
src_addr.s0 += get_global_id(1) * src0_stride_y * NUM_ELEMS_PROCESSED_PER_THREAD_Y;
// Update address for the matrix B
src_addr.s1 += idx;
#if defined(REINTERPRET_INPUT_AS_3D)
// Since we load a 2D input tile from a 3D tensor, we need to check when the plane changes across
// the z dimension
// in order to take into account the presence of possible cross plane paddings
//
// | |
// | plane0 |
// | |
// |__________________|
// |******************|
// | cross_plane_pad |
// |******************|
// | |
// | plane1 |
// | |
// |__________________|
// The plane (zin) is calculated dividing M (get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)
// by HEIGHT_GEMM3D
uint4 zin = ((uint4)(0, 1, 2, 3) + (uint4)(get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)) /
(uint4)HEIGHT_GEMM3D;
zin = min(DEPTH_GEMM3D - 1, zin);
// Add offset due to the cross plane paddings
zin *= (src_cross_plane_pad * src0_stride_y);
// Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we
// multiply src0_stride_z by DEPTH_GEMM3D
src_addr.s0 += get_global_id(2) * src0_stride_z * DEPTH_GEMM3D;
#else // defined(REINTERPRET_INPUT_AS_3D)
// Add offset for batched GEMM
src_addr.s0 += get_global_id(2) * src0_stride_z;
#endif // defined(REINTERPRET_INPUT_AS_3D)
#if defined(MATRIX_B_DEPTH)
// Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3
src_addr.s1 += (get_global_id(2) % MATRIX_B_DEPTH) * src1_stride_z;
#else // defined(MATRIX_B_DEPTH)
src_addr.s1 += get_global_id(2) * src1_stride_z;
#endif // defined(MATRIX_B_DEPTH)
int end_row_vec_a = src_addr.s0 + COLS_A;
VECTOR_INT acc0 = 0;
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
VECTOR_INT acc1 = 0;
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
VECTOR_INT acc2 = 0;
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
VECTOR_INT acc3 = 0;
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
VECTOR_INT acc4 = 0;
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
for (; src_addr.s0 <= (end_row_vec_a - 2); src_addr += (int2)(2, 2 * src1_stride_y))
{
// Load values from matrix A
char2 a0 = vload2(0, (__global char *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y));
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
char2 a1 = vload2(0, (__global char *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y));
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
char2 a2 = vload2(0, (__global char *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y));
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
char2 a3 = vload2(0, (__global char *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y));
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
char2 a4 = vload2(0, (__global char *)(src0_ptr + src_addr.s0 + 4 * src0_stride_y));
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
// Load values from matrix B
VECTOR_CHAR b0 =
VLOAD(NUM_ELEMS_PROCESSED_PER_THREAD_X)(0, (__global char *)(src1_ptr + src_addr.s1));
VECTOR_CHAR b1 = VLOAD(NUM_ELEMS_PROCESSED_PER_THREAD_X)(
0, (__global char *)(src1_ptr + src_addr.s1 + src1_stride_y));
// Accumulate
acc0 += CONVERT(b0, VECTOR_INT) * (VECTOR_INT)a0.s0;
acc0 += CONVERT(b1, VECTOR_INT) * (VECTOR_INT)a0.s1;
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
acc1 += CONVERT(b0, VECTOR_INT) * (VECTOR_INT)a1.s0;
acc1 += CONVERT(b1, VECTOR_INT) * (VECTOR_INT)a1.s1;
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
acc2 += CONVERT(b0, VECTOR_INT) * (VECTOR_INT)a2.s0;
acc2 += CONVERT(b1, VECTOR_INT) * (VECTOR_INT)a2.s1;
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
acc3 += CONVERT(b0, VECTOR_INT) * (VECTOR_INT)a3.s0;
acc3 += CONVERT(b1, VECTOR_INT) * (VECTOR_INT)a3.s1;
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
acc4 += CONVERT(b0, VECTOR_INT) * (VECTOR_INT)a4.s0;
acc4 += CONVERT(b1, VECTOR_INT) * (VECTOR_INT)a4.s1;
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
}
for (; src_addr.s0 < end_row_vec_a; src_addr += (int2)(1, src1_stride_y))
{
// Load values from matrix A
char a0 = *(__global char *)(src0_ptr + src_addr.s0 + 0 * src0_stride_y);
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
char a1 = *(__global char *)(src0_ptr + src_addr.s0 + 1 * src0_stride_y);
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
char a2 = *(__global char *)(src0_ptr + src_addr.s0 + 2 * src0_stride_y);
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
char a3 = *(__global char *)(src0_ptr + src_addr.s0 + 3 * src0_stride_y);
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
char a4 = *(__global char *)(src0_ptr + src_addr.s0 + 4 * src0_stride_y);
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
// Load values from matrix B
VECTOR_CHAR b0 =
VLOAD(NUM_ELEMS_PROCESSED_PER_THREAD_X)(0, (__global char *)(src1_ptr + src_addr.s1));
// Accumulate
acc0 += CONVERT(b0, VECTOR_INT) * (VECTOR_INT)a0;
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
acc1 += CONVERT(b0, VECTOR_INT) * (VECTOR_INT)a1;
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
acc2 += CONVERT(b0, VECTOR_INT) * (VECTOR_INT)a2;
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
acc3 += CONVERT(b0, VECTOR_INT) * (VECTOR_INT)a3;
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
acc4 += CONVERT(b0, VECTOR_INT) * (VECTOR_INT)a4;
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
}
const int z = get_global_id(2);
// Compute destination address
Image dst = CONVERT_TO_IMAGE_STRUCT(dst);
#if defined(REINTERPRET_OUTPUT_AS_3D)
// Since we store a 2D output tile in a 3D tensor, we need to check when the plane changes across
// the z dimension
// in order to take into account the presence of possible cross plane paddings
//
// | |
// | plane0 |
// | |
// |__________________|
// |******************|
// | cross_plane_pad |
// |******************|
// | |
// | plane1 |
// | |
// |__________________|
// The plane (zout) is calculated dividing M (get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)
// by HEIGHT_GEMM3D
uint8 zout = ((uint8)(0, 1, 2, 3, 4, 5, 6, 7) +
(uint8)(get_global_id(1) * NUM_ELEMS_PROCESSED_PER_THREAD_Y)) /
(uint8)HEIGHT_GEMM3D;
zout = min(DEPTH_GEMM3D - 1, zout);
// Add offset due to the cross plane paddings
zout *= (dst_cross_plane_pad * dst_stride_y);
// Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we
// multiply dst_stride_z by DEPTH_GEMM3D
dst.ptr += z * dst_stride_z * DEPTH_GEMM3D;
// Store the result
VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X)
(CONVERT(acc0, VECTOR_INT), 0, (__global int *)(dst.ptr + 0 * dst_stride_y + zout.s0));
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X)
(CONVERT(acc1, VECTOR_INT), 0, (__global int *)(dst.ptr + 1 * dst_stride_y + zout.s1));
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X)
(CONVERT(acc2, VECTOR_INT), 0, (__global int *)(dst.ptr + 2 * dst_stride_y + zout.s2));
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X)
(CONVERT(acc3, VECTOR_INT), 0, (__global int *)(dst.ptr + 3 * dst_stride_y + zout.s3));
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X)
(CONVERT(acc4, VECTOR_INT), 0, (__global int *)(dst.ptr + 4 * dst_stride_y + zout.s4));
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
#else // defined(REINTERPRET_OUTPUT_AS_3D)
// Add offset for batched GEMM
dst.ptr += z * dst_stride_z;
// Store the result
VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X)
(CONVERT(acc0, VECTOR_INT), 0, (__global int *)(dst.ptr + 0 * dst_stride_y));
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X)
(CONVERT(acc1, VECTOR_INT), 0, (__global int *)(dst.ptr + 1 * dst_stride_y));
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X)
(CONVERT(acc2, VECTOR_INT), 0, (__global int *)(dst.ptr + 2 * dst_stride_y));
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X)
(CONVERT(acc3, VECTOR_INT), 0, (__global int *)(dst.ptr + 3 * dst_stride_y));
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3
#if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
VSTORE(NUM_ELEMS_PROCESSED_PER_THREAD_X)
(CONVERT(acc4, VECTOR_INT), 0, (__global int *)(dst.ptr + 4 * dst_stride_y));
#endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 4
#endif // defined(REINTERPRET_OUTPUT_AS_3D)
}
#endif // defined(NUM_ELEMS_PROCESSED_PER_THREAD_X) && defined(NUM_ELEMS_PROCESSED_PER_THREAD_Y) &&
// defined(COLS_A)
|
