megenginelite-sys 1.8.2

A safe megenginelite wrapper in Rust
Documentation 
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

/**
 * \file dnn/src/arm_common/resize/upsample2_nchw.cpp
 * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
 *
 * Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or
 * implied.
 */

#include "src/arm_common/resize/upsample2_nchw.h"

#include "src/arm_common/resize/helper.h"
#include "src/arm_common/simd_macro/marm_neon.h"

using namespace megdnn;
using namespace arm_common;
using namespace resize;

namespace {

template <typename ctype, size_t fh, size_t fw>
static inline ctype compute_linear_element(const ctype src[4], const ctype alpha[2]) {
    return src[0] * alpha[0 ^ fh] * alpha[0 ^ fw] +
           src[1] * alpha[0 ^ fh] * alpha[1 ^ fw] +
           src[2] * alpha[1 ^ fh] * alpha[0 ^ fw] +
           src[3] * alpha[1 ^ fh] * alpha[1 ^ fw];
}

template <typename simd_helper, size_t fh, size_t fw>
static inline typename simd_helper::simd_type compute_linear_element_simd(
        const typename simd_helper::simd_type src[4],
        const typename simd_helper::simd_type alpha[2][2]) {
    typename simd_helper::simd_type c = simd_helper::dup(0);
    c = simd_helper::fma(c, src[0], alpha[0 ^ fh][0 ^ fw]);
    c = simd_helper::fma(c, src[1], alpha[0 ^ fh][1 ^ fw]);
    c = simd_helper::fma(c, src[2], alpha[1 ^ fh][0 ^ fw]);
    c = simd_helper::fma(c, src[3], alpha[1 ^ fh][1 ^ fw]);
    return c;
}

template <typename ctype, bool has_right, bool has_bottom>
static inline void compute_linear_2x2_element(
        const ctype* src, ctype* dst, size_t IW, size_t OW, const ctype alpha[2]) {
    const ctype* src_ptr[4] = {src, src, src, src};

    if (has_right) {
        src_ptr[1] += 1;
        src_ptr[3] += 1;
    }
    if (has_bottom) {
        src_ptr[2] += IW;
        src_ptr[3] += IW;
    }

    ctype rsrc[4];
    rsrc[0] = *src_ptr[0];
    rsrc[1] = *src_ptr[1];
    rsrc[2] = *src_ptr[2];
    rsrc[3] = *src_ptr[3];

    dst[0] = compute_linear_element<ctype, 0, 0>(rsrc, alpha);
    if (has_right) {
        dst[1] = compute_linear_element<ctype, 0, 1>(rsrc, alpha);
    }
    if (has_bottom) {
        dst[OW] = compute_linear_element<ctype, 1, 0>(rsrc, alpha);
    }
    if (has_right && has_bottom) {
        dst[OW + 1] = compute_linear_element<ctype, 1, 1>(rsrc, alpha);
    }
}

template <typename simd_helper>
static inline void compute_linear_2x2_element_simd(
        const typename simd_helper::ctype* src, typename simd_helper::ctype* dst,
        size_t IW, size_t OW, const typename simd_helper::simd_type alpha[2][2]) {
    using simd_type = typename simd_helper::simd_type;

    simd_type rsrc[4];
    rsrc[0] = simd_helper::load(src);
    rsrc[1] = simd_helper::load(src + 1);
    rsrc[2] = simd_helper::load(src + IW);
    rsrc[3] = simd_helper::load(src + IW + 1);

    simd_type rdst[4];
    rdst[0] = compute_linear_element_simd<simd_helper, 0, 0>(rsrc, alpha);
    rdst[1] = compute_linear_element_simd<simd_helper, 0, 1>(rsrc, alpha);
    rdst[2] = compute_linear_element_simd<simd_helper, 1, 0>(rsrc, alpha);
    rdst[3] = compute_linear_element_simd<simd_helper, 1, 1>(rsrc, alpha);

    simd_helper::store2_interleave(dst, rdst[0], rdst[1]);
    simd_helper::store2_interleave(dst + OW, rdst[2], rdst[3]);
}

template <typename ctype>
void linear_upsample2_nchw(
        const ctype* src_ptr, ctype* dst_ptr, size_t N, size_t IH, size_t IW) {
    using simd_helper = SIMDHelper<ctype>;
    size_t OW = IW * 2;
    constexpr size_t PC = simd_helper::simd_width;

    ctype alpha[2] = {0.75, 0.25};

    typename simd_helper::simd_type simd_alpha[2][2];
    simd_alpha[0][0] = simd_helper::dup(0.75 * 0.75);
    simd_alpha[0][1] = simd_helper::dup(0.75 * 0.25);
    simd_alpha[1][0] = simd_helper::dup(0.25 * 0.75);
    simd_alpha[1][1] = simd_helper::dup(0.25 * 0.25);

    for (size_t i = 0; i < N; ++i) {
        compute_linear_2x2_element<ctype, false, false>(
                src_ptr, dst_ptr, IW, OW, alpha);
        {
            for (size_t iw = 0; iw + 1 < IW; ++iw) {
                compute_linear_2x2_element<ctype, true, false>(
                        src_ptr + iw, dst_ptr + (iw * 2 + 1), IW, OW, alpha);
            }
        }
        compute_linear_2x2_element<ctype, false, false>(
                src_ptr + (IW - 1), dst_ptr + (OW - 1), IW, OW, alpha);
        dst_ptr += OW;

        for (size_t ih = 0; ih + 1 < IH; ++ih) {
            compute_linear_2x2_element<ctype, false, true>(
                    src_ptr, dst_ptr, IW, OW, alpha);
            size_t iw = 0;
            for (; iw + PC < IW; iw += PC) {
                compute_linear_2x2_element_simd<simd_helper>(
                        src_ptr + iw, dst_ptr + (iw * 2 + 1), IW, OW, simd_alpha);
            }
            for (; iw + 1 < IW; ++iw) {
                compute_linear_2x2_element<ctype, true, true>(
                        src_ptr + iw, dst_ptr + (iw * 2 + 1), IW, OW, alpha);
            }
            compute_linear_2x2_element<ctype, false, true>(
                    src_ptr + (IW - 1), dst_ptr + (OW - 1), IW, OW, alpha);

            src_ptr += IW;
            dst_ptr += 2 * OW;
        }

        compute_linear_2x2_element<ctype, false, false>(
                src_ptr, dst_ptr, IW, OW, alpha);
        {
            for (size_t iw = 0; iw + 1 < IW; ++iw) {
                compute_linear_2x2_element<ctype, true, false>(
                        src_ptr + iw, dst_ptr + (iw * 2 + 1), IW, OW, alpha);
            }
        }
        compute_linear_2x2_element<ctype, false, false>(
                src_ptr + (IW - 1), dst_ptr + (OW - 1), IW, OW, alpha);
        src_ptr += IW;
        dst_ptr += OW;
    }
}

template <typename ctype>
void nearest_upsample2_nchw(
        const ctype* src_ptr, ctype* dst_ptr, size_t N, size_t IH, size_t IW) {
    using simd_helper = SIMDHelper<ctype>;
    size_t OW = IW * 2;
    constexpr size_t PC = simd_helper::simd_width;

    for (size_t i = 0; i < N; ++i) {
        for (size_t ih = 0; ih < IH; ++ih) {
            size_t iw = 0;
            for (; iw + PC - 1 < IW; iw += PC) {
                typename simd_helper::simd_type r0 = simd_helper::load(src_ptr + iw);

                simd_helper::store2_interleave(dst_ptr + (iw * 2), r0, r0);
                simd_helper::store2_interleave(dst_ptr + (OW + iw * 2), r0, r0);
            }
            for (; iw < IW; iw += 1) {
                ctype v = src_ptr[iw];
                dst_ptr[iw * 2] = v;
                dst_ptr[iw * 2 + 1] = v;
                dst_ptr[OW + iw * 2] = v;
                dst_ptr[OW + iw * 2 + 1] = v;
            }
            src_ptr += IW;
            dst_ptr += 2 * OW;
        }
    }
}

}  // namespace

void megdnn::arm_common::resize_linear_upsample2_nchw_fp32(
        const ResizeImpl::KernParam<float>& kern_param) {
    linear_upsample2_nchw(
            kern_param.src(), kern_param.dst(), kern_param.n * kern_param.c,
            kern_param.ih, kern_param.iw);
}

void megdnn::arm_common::resize_nearest_upsample2_nchw_fp32(
        const ResizeImpl::KernParam<float>& kern_param) {
    nearest_upsample2_nchw(
            kern_param.src(), kern_param.dst(), kern_param.n * kern_param.c,
            kern_param.ih, kern_param.iw);
}

#if __ARM_FEATURE_FP16_VECTOR_ARITHMETIC

void megdnn::arm_common::resize_linear_upsample2_nchw_fp16(
        const ResizeImpl::KernParam<dt_float16>& kern_param) {
    auto sptr = reinterpret_cast<const __fp16*>(kern_param.sptr.get_ptr());
    auto dptr = reinterpret_cast<__fp16*>(kern_param.dptr.get_ptr());
    linear_upsample2_nchw(
            sptr, dptr, kern_param.n * kern_param.c, kern_param.ih, kern_param.iw);
}

void megdnn::arm_common::resize_nearest_upsample2_nchw_fp16(
        const ResizeImpl::KernParam<dt_float16>& kern_param) {
    auto sptr = reinterpret_cast<const __fp16*>(kern_param.sptr.get_ptr());
    auto dptr = reinterpret_cast<__fp16*>(kern_param.dptr.get_ptr());
    nearest_upsample2_nchw(
            sptr, dptr, kern_param.n * kern_param.c, kern_param.ih, kern_param.iw);
}

#endif