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
|
/*
* Copyright (c) 2017 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 "arm_compute/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.h"
#include "arm_compute/core/AccessWindowStatic.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/NEON/NEFixedPoint.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/Window.h"
#include <arm_neon.h>
#include <cstddef>
#include <cstdint>
using namespace arm_compute;
NEGEMMMatrixAccumulateBiasesKernel::NEGEMMMatrixAccumulateBiasesKernel()
: _accum(nullptr), _biases(nullptr)
{
}
void NEGEMMMatrixAccumulateBiasesKernel::configure(ITensor *accum, const ITensor *biases)
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(accum, 1, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(biases, accum);
ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT_POSITION(biases, accum);
ARM_COMPUTE_ERROR_ON(biases->info()->num_dimensions() > 1);
_biases = biases;
_accum = accum;
constexpr unsigned int num_elems_processed_per_iteration = 16;
// Configure kernel window
Window win = calculate_max_window(*accum->info(), Steps(num_elems_processed_per_iteration));
update_window_and_padding(win,
AccessWindowHorizontal(accum->info(), 0, num_elems_processed_per_iteration),
AccessWindowStatic(biases->info(), 0, 0, win.x().end(), biases->info()->tensor_shape().y()));
AccessWindowHorizontal output_access(accum->info(), 0, num_elems_processed_per_iteration);
// Set the valid region for the accum tensor
Coordinates coord;
coord.set_num_dimensions(accum->info()->num_dimensions());
output_access.set_valid_region(win, ValidRegion(coord, accum->info()->tensor_shape()));
INEKernel::configure(win);
}
void NEGEMMMatrixAccumulateBiasesKernel::run(const Window &window, const ThreadInfo &info)
{
ARM_COMPUTE_UNUSED(info);
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
Window win_biases;
win_biases.set(Window::DimX, Window::Dimension(window.x().start(), window.x().end(), window.x().step()));
win_biases.set(Window::DimY, Window::Dimension(0, 1, 1));
Iterator in0_out(_accum, window);
Iterator in1(_biases, win_biases);
switch(_accum->info()->data_type())
{
case DataType::F32:
{
execute_window_loop(window, [&](const Coordinates & id)
{
const float32x4x4_t accum = vld4q_f32(reinterpret_cast<const float *>(in0_out.ptr()));
const float32x4x4_t biases = vld4q_f32(reinterpret_cast<const float *>(in1.ptr()));
const float32x4x4_t res =
{
{
vaddq_f32(accum.val[0], biases.val[0]),
vaddq_f32(accum.val[1], biases.val[1]),
vaddq_f32(accum.val[2], biases.val[2]),
vaddq_f32(accum.val[3], biases.val[3])
}
};
vst4q_f32(reinterpret_cast<float *>(in0_out.ptr()), res);
},
in0_out, in1);
break;
}
#ifdef ARM_COMPUTE_AARCH64_V8_2
case DataType::F16:
{
execute_window_loop(window, [&](const Coordinates & id)
{
const float16x8x2_t accum = vld2q_f16(reinterpret_cast<const float16_t *>(in0_out.ptr()));
const float16x8x2_t biases = vld2q_f16(reinterpret_cast<const float16_t *>(in1.ptr()));
const float16x8x2_t res =
{
{
vaddq_f16(accum.val[0], biases.val[0]),
vaddq_f16(accum.val[1], biases.val[1])
}
};
vst2q_f16(reinterpret_cast<float16_t *>(in0_out.ptr()), res);
},
in0_out, in1);
break;
}
#endif /* ARM_COMPUTE_AARCH64_V8_2 */
case DataType::QS8:
{
execute_window_loop(window, [&](const Coordinates & id)
{
const qint8x16_t accum = vld1q_qs8(reinterpret_cast<const qint8_t *>(in0_out.ptr()));
const qint8x16_t biases = vld1q_qs8(reinterpret_cast<const qint8_t *>(in1.ptr()));
vst1q_qs8(reinterpret_cast<qint8_t *>(in0_out.ptr()), vqaddq_qs8(accum, biases));
},
in0_out, in1);
break;
}
case DataType::QS16:
{
execute_window_loop(window, [&](const Coordinates & id)
{
qint16x8x2_t accum = vld2q_s16(reinterpret_cast<const qint16_t *>(in0_out.ptr()));
const qint16x8x2_t biases = vld2q_s16(reinterpret_cast<const qint16_t *>(in1.ptr()));
accum.val[0] = vqaddq_qs16(accum.val[0], biases.val[0]);
accum.val[1] = vqaddq_qs16(accum.val[1], biases.val[1]);
vst2q_s16(reinterpret_cast<qint16_t *>(in0_out.ptr()), accum);
},
in0_out, in1);
break;
}
default:
ARM_COMPUTE_ERROR("Data type not supported");
break;
}
}
|
