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

/**
 * \file dnn/src/cuda/gaussian_blur/opr_impl.h
 * 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.
 */
#pragma once
#include "megdnn/oprs.h"

#include <cstring>
#include "src/common/cv/common.h"
#include "src/common/utils.h"

namespace megdnn {
namespace cuda {

class GaussianBlurImpl : public GaussianBlur {
public:
    using GaussianBlur::GaussianBlur;

    void exec(
            _megdnn_tensor_in src, _megdnn_tensor_out dst,
            _megdnn_workspace workspace) override;

    size_t get_workspace_in_bytes(
            const TensorLayout& src, const TensorLayout&) override {
        //! current only support float and uint8
        megdnn_assert(src.dtype == dtype::Float32() || src.dtype == dtype::Uint8());

        //! Calc gaussian kernel real size
        double sigma_x = param().sigma_x;
        double sigma_y = param().sigma_y;
        uint32_t kernel_height = param().kernel_height;
        uint32_t kernel_width = param().kernel_width;

        if (sigma_y <= 0)
            sigma_y = sigma_x;

        auto get_size = [&src](double sigma) {
            double num = 0;
            if (src.dtype == dtype::Uint8()) {
                num = sigma * 3 * 2 + 1;
            } else {
                num = sigma * 4 * 2 + 1;
            }
            return static_cast<uint32_t>(num + (num >= 0 ? 0.5 : -0.5)) | 1;
        };

        if (kernel_width <= 0 && sigma_x > 0) {
            m_kernel_width = get_size(sigma_x);
        } else {
            m_kernel_width = kernel_width;
        }
        if (kernel_height <= 0 && sigma_y > 0) {
            m_kernel_height = get_size(sigma_y);
        } else {
            m_kernel_height = kernel_height;
        }
        megdnn_assert(
                m_kernel_width > 0 && m_kernel_width % 2 == 1 && m_kernel_height > 0 &&
                m_kernel_height % 2 == 1);

        m_sigma_x = std::max(sigma_x, 0.);
        m_sigma_y = std::max(sigma_y, 0.);

        if (src.dtype == dtype::Uint8()) {
            //! element [0, m_kernel_width * m_kernel_height - 1] store the
            //! filter matrix of type int32_t, others store float value
            //! kernel_x and kernel_y.
            return m_kernel_width * m_kernel_height * sizeof(int32_t) +
                   (m_kernel_width + m_kernel_height) * sizeof(float);
        } else {
            //! float32
            return m_kernel_width * m_kernel_height * sizeof(float);
        }
    }

private:
    uint32_t m_kernel_height;
    uint32_t m_kernel_width;
    double m_sigma_x;
    double m_sigma_y;

};  // class GaussianBlurImpl

}  // namespace cuda
}  // namespace megdnn

// vim: syntax=cpp.doxygen