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

/**
 * \file dnn/src/armv7/conv_bias/quint8/algos.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/armv7/conv_bias/quint8/algos.h"
#include "src/arm_common/convolution/img2col_helper.h"
#include "src/armv7/conv_bias/quint8/strategy.h"
#include "src/common/opr_delegate.h"
#include "src/fallback/conv_bias/common.h"
#include "src/fallback/matrix_mul/gemm_impl.h"

#include "midout.h"

MIDOUT_DECL(megdnn_armv7_conv_bias_quint8)

using namespace megdnn;
using namespace armv7;

/* ===================== matrix mul algo ===================== */

bool ConvBiasImpl::AlgoQU8MatrixMul::usable(
        const NCBKernSizeParam& param,
        AlgoSelectionStrategy /*algo_selection_strategy*/) const {
    auto&& fm = param.filter_meta;
    return param.src_type.enumv() == DTypeEnum::Quantized8Asymm &&
           param.dst_type.enumv() == DTypeEnum::Quantized8Asymm &&
           fm.format == param::ConvBias::Format::NCHW && fm.spatial_ndim == 2 &&
           fm.dilation[0] == 1 && fm.dilation[1] == 1 &&
           //! As postprocess, the bias is not contigous read, make the
           //! performance bad, so we do not process it in fused kernel
           param.bias_mode != BiasMode::BIAS &&
           //! This algo is only support single thread
           param.nr_threads == 1_z;
}

WorkspaceBundle ConvBiasImpl::AlgoQU8MatrixMul::get_bundle(
        const NCBKernSizeParam& param) {
    UNPACK_CONV_NCB_KERN_SIZES(param);
    MEGDNN_MARK_USED_VAR(N);
    auto IW2 = IH + 2 * PH;
    auto IH2 = IW + 2 * PW;
    bool can_matrix_mul_direct =
            (FH == 1 && FW == 1 && SH == 1 && SW == 1 && PH == 0 && PW == 0);
    // temp space to store padding-free src (with 16 extra int8)
    // temp space to store unrolled matrix (with 16 extra int8)
    // workspace for matrix mul opr
    size_t part0, part1, part2;
    if (can_matrix_mul_direct) {
        part0 = part1 = 0;
    } else {
        part0 = (IC * IH2 * IW2 + 16) * sizeof(uint8_t);
        part1 = (IC * FH * FW * OH * OW + 16) * sizeof(uint8_t);
    }
    {
        size_t M = OC;
        size_t K = IC * FH * FW;
        size_t N = OH * OW;

#define DISPATCH_GEMM_STRATEGY(                                                     \
        _gemm, _gemm_midout_enum, _bias, _bias_midout_enum, _nonline,               \
        _nonline_midout_enum)                                                       \
    MIDOUT_BEGIN(                                                                   \
            megdnn_armv7_conv_bias_quint8, 0, _gemm_midout_enum, _bias_midout_enum, \
            _nonline_midout_enum) {                                                 \
        matmul::gemm_##_gemm##_##_bias##_##_nonline strategy(                       \
                M, N, K, param.filter_type, param.src_type, param.dst_type);        \
        part2 = megdnn::matmul::GemmInterleaved<                                    \
                        matmul::gemm_##_gemm##_##_bias##_##_nonline>(               \
                        M, N, K, false, false, strategy)                            \
                        .get_workspace_size();                                      \
    }                                                                               \
    MIDOUT_END()

        DISPATCH_GEMM_BIAS(u8_4x8, 0)

#undef DISPATCH_GEMM_STRATEGY
    }
    return {nullptr, {part0, part1, part2}};
}

void ConvBiasImpl::AlgoQU8MatrixMul::kimpl(
        const NCBKernParam& param, const NCBKernIndex& ncb_index) {
    auto is_xcorr = !param.filter_meta.should_flip;
    UNPACK_CONV_NCB_KERN_SIZES(param);
    auto bundle = get_bundle(param);
    bundle.set(param.workspace_ptr);
    auto IH2 = IH + 2 * PH;
    auto IW2 = IW + 2 * PW;
    size_t group_id = ncb_index.ndrange_id[0];
    uint8_t src_zp = param.src_type.param<dtype::Quantized8Asymm>().zero_point;
    // workspace = tmp..src2
    for (size_t n = 0; n < N; ++n) {
        uint8_t* src = const_cast<uint8_t*>(param.src<uint8_t>(n, group_id));
        uint8_t* filter = const_cast<uint8_t*>(param.filter<uint8_t>(group_id));
        uint8_t* dst = static_cast<uint8_t*>(param.dst<uint8_t>(n, group_id));
        int32_t* bias = const_cast<int32_t*>(param.bias<int32_t>(n, group_id));

        uint8_t *B, *src2;

        if (FH == 1 && FW == 1 && SH == 1 && SW == 1 && PH == 0 && PW == 0) {
            // special case: 1x1
            B = const_cast<uint8_t*>(src);
        } else {
            src2 = static_cast<uint8_t*>(bundle.get(0));
            // copy src to src2;
            uint8_t* src2_ptr = src2;
            const uint8_t* src_ptr = src;
            rep(ic, IC) {
                if (PH != 0) {
                    std::memset(src2_ptr, src_zp, sizeof(uint8_t) * PH * IW2);
                    src2_ptr += PH * IW2;
                }
                rep(ih, IH) {
                    if (PW != 0)
                        rep(pw, PW) { *(src2_ptr++) = src_zp; }
                    std::memcpy(src2_ptr, src_ptr, sizeof(uint8_t) * IW);
                    src2_ptr += IW;
                    src_ptr += IW;
                    if (PW != 0)
                        rep(pw, PW) { *(src2_ptr++) = src_zp; }
                }
                if (PH != 0) {
                    std::memset(src2_ptr, src_zp, sizeof(uint8_t) * PH * IW2);
                    src2_ptr += PH * IW2;
                }
            }

            B = static_cast<uint8_t*>(bundle.get(1));
            if (SH == 1 && SW == 1) {
                if (is_xcorr)
                    img2col<true>(src2, B, OC, OH, OW, IC, IH2, IW2, FH, FW);
                else
                    img2col<false>(src2, B, OC, OH, OW, IC, IH2, IW2, FH, FW);
            } else {
                if (is_xcorr)
                    img2col_stride<true>(
                            src2, B, OC, OH, OW, IC, IH2, IW2, FH, FW, SH, SW);
                else
                    img2col_stride<false>(
                            src2, B, OC, OH, OW, IC, IH2, IW2, FH, FW, SH, SW);
            }
        }
        {
            Workspace workspace(
                    static_cast<dt_byte*>(bundle.get(2)), bundle.get_size(2));
            size_t M = OC;
            size_t K = IC * FH * FW;
            size_t N = OH * OW;

#define DISPATCH_GEMM_STRATEGY(                                                      \
        _gemm, _gemm_midout_enum, _bias, _bias_midout_enum, _nonline,                \
        _nonline_midout_enum)                                                        \
    MIDOUT_BEGIN(                                                                    \
            megdnn_armv7_conv_bias_quint8, 1, _gemm_midout_enum, _bias_midout_enum,  \
            _nonline_midout_enum) {                                                  \
        matmul::gemm_##_gemm##_##_bias##_##_nonline strategy(                        \
                M, N, K, param.filter_type, param.src_type, param.dst_type);         \
        megdnn::matmul::GemmInterleaved<matmul::gemm_##_gemm##_##_bias##_##_nonline> \
                gemm_interleaved(M, N, K, false, false, strategy);                   \
        gemm_interleaved.execute(filter, K, B, N, dst, N, workspace.raw_ptr, bias);  \
    }                                                                                \
    MIDOUT_END()

            DISPATCH_GEMM_BIAS(u8_4x8, 0)
#undef DISPATCH_GEMM_STRATEGY
        }
    }
}

// vim: syntax=cpp.doxygen