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
|
/*
* Copyright (c) 2016-2023 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 "src/cpu/kernels/gemm_matrix_add/generic/neon/impl.h"
#include <arm_neon.h>
namespace arm_compute
{
namespace cpu
{
void matrix_addition_f32(const ITensor *src, ITensor *dst, const Window &window, float beta)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
const float32x4_t beta_f32 = vdupq_n_f32(beta);
constexpr int window_step_x = 16;
const auto window_start_x = static_cast<int>(window.x().start());
const auto window_end_x = static_cast<int>(window.x().end());
Window win = window.collapse_if_possible(window, Window::DimZ);
win.set(Window::DimX, Window::Dimension(0, 1, 1));
Iterator in(src, win);
Iterator out(dst, win);
execute_window_loop(
win,
[&](const Coordinates &)
{
const auto in_ptr = reinterpret_cast<const float *>(in.ptr());
const auto out_ptr = reinterpret_cast<float *>(out.ptr());
int x = window_start_x;
for (; x < (window_end_x - window_step_x); x += window_step_x)
{
float32x4x4_t alpha_ab = vld4q_f32(out_ptr + x);
const float32x4x4_t c = vld4q_f32(in_ptr + x);
// Multiply matrix C by its weight and accumulate
alpha_ab.val[0] = vmlaq_f32(alpha_ab.val[0], c.val[0], beta_f32);
alpha_ab.val[1] = vmlaq_f32(alpha_ab.val[1], c.val[1], beta_f32);
alpha_ab.val[2] = vmlaq_f32(alpha_ab.val[2], c.val[2], beta_f32);
alpha_ab.val[3] = vmlaq_f32(alpha_ab.val[3], c.val[3], beta_f32);
vst4q_f32(out_ptr + x, alpha_ab);
}
// Left-over loop
for (; x < window_end_x; ++x)
{
*(out_ptr + x) += *(in_ptr + x) * beta;
}
},
in, out);
}
} // namespace cpu
} // namespace arm_compute
|
