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
|
/*
* Copyright (c) 2021 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 "8b_mla.hpp"
size_t generic_get_packed_size(
const VLType vec_type,
const unsigned int acc_depth,
const unsigned int kernel_rows,
const unsigned int kernel_cols,
const unsigned int n_input_channels
)
{
const auto per_iter = acc_depth * arm_gemm::utils::get_vector_length<int32_t>(vec_type);
return arm_gemm::roundup((long unsigned int) n_input_channels, per_iter) * kernel_rows * kernel_cols * sizeof(int8_t);
}
void generic_pack(
const VLType vec_type,
const unsigned int acc_depth,
const unsigned int kernel_rows,
const unsigned int kernel_cols,
const unsigned int n_channels,
void *_outptr,
const void *_weights,
size_t ld_weight_col,
size_t ld_weight_row
)
{
int8_t *outptr = reinterpret_cast<int8_t *>(_outptr);
const int8_t *weights = reinterpret_cast<const int8_t *>(_weights);
// Get the strides
ld_weight_col = (ld_weight_col == 0) ? n_channels * sizeof(int8_t) : ld_weight_col;
ld_weight_row = (ld_weight_row == 0) ? kernel_cols * ld_weight_col : ld_weight_row;
// Pack into per-iter chunks.
const auto per_iter = acc_depth * arm_gemm::utils::get_vector_length<int32_t>(vec_type);
for (unsigned int c = 0; c < n_channels; c += per_iter)
{
auto weight_row = weights + c;
const auto to_copy = std::min<unsigned int>(per_iter, n_channels - c);
for (unsigned int i = 0; i < kernel_rows; i++)
{
auto weight_col = weight_row;
for (unsigned int j = 0; j < kernel_cols; j++)
{
memcpy(outptr, weight_col, to_copy);
outptr += per_iter;
weight_col += ld_weight_col;
}
weight_row += ld_weight_row;
}
}
}
namespace arm_conv {
namespace depthwise {
ADD_IMPLEMENTATION(a64, s8q, int8_t, None, 2, 3, 3)
ADD_IMPLEMENTATION(a64, s8q, int8_t, None, 2, 5, 5)
ADD_IMPLEMENTATION(a64, u8q, uint8_t, None, 2, 3, 3)
ADD_IMPLEMENTATION(a64, u8q, uint8_t, None, 2, 5, 5)
} // namespace depthwise
} // namespace arm_conv
|
