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
|
/*
* Copyright (c) 2020-2021,2023 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 "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensorPack.h"
#include "arm_compute/core/Window.h"
#include "arm_compute/function_info/ActivationLayerInfo.h"
#include "src/core/NEON/SVEMath.h"
#include <cmath>
#include <cstddef>
#if defined(ARM_COMPUTE_ENABLE_SVE)
#include <arm_sve.h>
namespace arm_compute
{
namespace cpu
{
void fp32_sve_batch_normalization(ITensor *src,
ITensor *dst,
const ITensor *mean,
const ITensor *var,
const ITensor *beta,
const ITensor *gamma,
float epsilon,
ActivationLayerInfo &act_info,
const Window &window)
{
const auto window_start_x = static_cast<int>(window.x().start());
const auto window_end_x = static_cast<int>(window.x().end());
Window win_collapsed = window.collapse_if_possible(window, Window::DimZ);
win_collapsed.set(Window::DimX, Window::Dimension(0, 1, 1));
Iterator input(src, win_collapsed);
Iterator output(dst, win_collapsed);
const auto input_mean = reinterpret_cast<const float *>(mean->ptr_to_element(Coordinates(0, 0)));
const auto input_var = reinterpret_cast<const float *>(var->ptr_to_element(Coordinates(0, 0)));
const auto input_gamma =
(gamma != nullptr) ? reinterpret_cast<const float *>(gamma->ptr_to_element(Coordinates(0, 0))) : nullptr;
const auto input_beta =
(beta != nullptr) ? reinterpret_cast<const float *>(beta->ptr_to_element(Coordinates(0, 0))) : nullptr;
const auto epsilon_vec = svdup_n_f32(epsilon);
const auto const_1 = svdup_n_f32(1.f);
const auto const_0 = svdup_n_f32(0.f);
const auto va = svdup_n_f32(act_info.a());
const auto vb = svdup_n_f32(act_info.b());
execute_window_loop(
win_collapsed,
[&](const Coordinates &)
{
const auto input_ptr = reinterpret_cast<const float *>(input.ptr());
const auto output_ptr = reinterpret_cast<float *>(output.ptr());
// Compute S elements per iteration
int x = window_start_x;
svbool_t pg = svwhilelt_b32(x, window_end_x);
do
{
// Conctruct vectors
const auto mean_vec = svld1_f32(pg, input_mean + x);
const auto var_vec = svld1_f32(pg, input_var + x);
const auto gamma_vec = (input_gamma != nullptr) ? svld1_f32(pg, input_gamma + x) : const_1;
const auto beta_vec = (input_beta != nullptr) ? svld1_f32(pg, input_beta + x) : const_0;
// Calculate denominator
const auto tmp = svadd_f32_z(pg, var_vec, epsilon_vec);
auto denominator = svrsqrte_f32(tmp);
denominator =
svmul_f32_z(pg, svrsqrts_f32(svmul_f32_z(pg, tmp, denominator), denominator), denominator);
denominator =
svmul_f32_z(pg, svrsqrts_f32(svmul_f32_z(pg, tmp, denominator), denominator), denominator);
// Calculate x bar
const auto numerator = svsub_f32_z(pg, svld1_f32(pg, input_ptr + x), mean_vec);
const auto x_bar = svmul_f32_z(pg, numerator, denominator);
auto res = svmla_f32_z(pg, beta_vec, x_bar, gamma_vec);
// Perform fused activation
if (act_info.enabled())
{
if (act_info.activation() == ActivationLayerInfo::ActivationFunction::RELU)
{
res = svmax_f32_z(pg, const_0, res);
}
else if (act_info.activation() == ActivationLayerInfo::ActivationFunction::BOUNDED_RELU)
{
res = svmin_f32_z(pg, va, svmax_f32_z(pg, const_0, res));
}
else if (act_info.activation() == ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU)
{
res = svmin_f32_z(pg, va, svmax_f32_z(pg, vb, res));
}
}
// Store results
svst1_f32(pg, output_ptr + x, res);
x += svcntw();
pg = svwhilelt_b32(x, window_end_x);
} while (svptest_any(svptrue_b32(), pg));
},
input, output);
}
} // namespace cpu
} // namespace arm_compute
#endif // ENABLE_SVE
|
