ncnn

Форк
0
/
celu_vulkan.cpp 
182 строки · 5.9 Кб
1
// Tencent is pleased to support the open source community by making ncnn available.
2
//
3
// Copyright (C) 2019 THL A29 Limited, a Tencent company. All rights reserved.
4
//
5
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
6
// in compliance with the License. You may obtain a copy of the License at
7
//
8
// https://opensource.org/licenses/BSD-3-Clause
9
//
10
// Unless required by applicable law or agreed to in writing, software distributed
11
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
12
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
13
// specific language governing permissions and limitations under the License.
14

15
#include "celu_vulkan.h"
16

17
#include "layer_shader_type.h"
18

19
namespace ncnn {
20

21
CELU_vulkan::CELU_vulkan()
22
{
23
    support_vulkan = true;
24
    support_image_storage = true;
25

26
    pipeline_celu = 0;
27
    pipeline_celu_pack4 = 0;
28
    pipeline_celu_pack8 = 0;
29
}
30

31
int CELU_vulkan::create_pipeline(const Option& opt)
32
{
33
    const Mat& shape = top_shapes.empty() ? Mat() : top_shapes[0];
34

35
    int elempack = 1;
36
    if (shape.dims == 1) elempack = opt.use_shader_pack8 && shape.w % 8 == 0 ? 8 : shape.w % 4 == 0 ? 4 : 1;
37
    if (shape.dims == 2) elempack = opt.use_shader_pack8 && shape.h % 8 == 0 ? 8 : shape.h % 4 == 0 ? 4 : 1;
38
    if (shape.dims == 3 || shape.dims == 4) elempack = opt.use_shader_pack8 && shape.c % 8 == 0 ? 8 : shape.c % 4 == 0 ? 4 : 1;
39

40
    size_t elemsize;
41
    if (opt.use_fp16_storage)
42
    {
43
        elemsize = elempack * 2u;
44
    }
45
    else if (opt.use_fp16_packed)
46
    {
47
        elemsize = elempack == 1 ? 4u : elempack * 2u;
48
    }
49
    else
50
    {
51
        elemsize = elempack * 4u;
52
    }
53

54
    Mat shape_packed;
55
    if (shape.dims == 1) shape_packed = Mat(shape.w / elempack, (void*)0, elemsize, elempack);
56
    if (shape.dims == 2) shape_packed = Mat(shape.w, shape.h / elempack, (void*)0, elemsize, elempack);
57
    if (shape.dims == 3) shape_packed = Mat(shape.w, shape.h, shape.c / elempack, (void*)0, elemsize, elempack);
58
    if (shape.dims == 4) shape_packed = Mat(shape.w, shape.h, shape.d, shape.c / elempack, (void*)0, elemsize, elempack);
59

60
    std::vector<vk_specialization_type> specializations(1 + 5);
61
    specializations[0].f = alpha;
62
    specializations[1 + 0].i = shape_packed.dims;
63
    specializations[1 + 1].i = shape_packed.w;
64
    specializations[1 + 2].i = shape_packed.h * shape_packed.d;
65
    specializations[1 + 3].i = shape_packed.c;
66
    specializations[1 + 4].i = shape_packed.cstep;
67

68
    Mat local_size_xyz;
69
    if (shape_packed.dims == 1)
70
    {
71
        local_size_xyz.w = std::min(64, shape_packed.w);
72
        local_size_xyz.h = 1;
73
        local_size_xyz.c = 1;
74
    }
75
    if (shape_packed.dims == 2)
76
    {
77
        local_size_xyz.w = std::min(8, shape_packed.w);
78
        local_size_xyz.h = std::min(8, shape_packed.h);
79
        local_size_xyz.c = 1;
80
    }
81
    if (shape_packed.dims == 3)
82
    {
83
        local_size_xyz.w = std::min(4, shape_packed.w);
84
        local_size_xyz.h = std::min(4, shape_packed.h);
85
        local_size_xyz.c = std::min(4, shape_packed.c);
86
    }
87
    if (shape_packed.dims == 4)
88
    {
89
        local_size_xyz.w = std::min(4, shape_packed.w);
90
        local_size_xyz.h = std::min(4, shape_packed.h * shape_packed.d);
91
        local_size_xyz.c = std::min(4, shape_packed.c);
92
    }
93

94
    // pack1
95
    if (shape.dims == 0 || elempack == 1)
96
    {
97
        pipeline_celu = new Pipeline(vkdev);
98
        pipeline_celu->set_optimal_local_size_xyz(local_size_xyz);
99
        pipeline_celu->create(LayerShaderType::celu, opt, specializations);
100
    }
101

102
    // pack4
103
    if (shape.dims == 0 || elempack == 4)
104
    {
105
        pipeline_celu_pack4 = new Pipeline(vkdev);
106
        pipeline_celu_pack4->set_optimal_local_size_xyz(local_size_xyz);
107
        pipeline_celu_pack4->create(LayerShaderType::celu_pack4, opt, specializations);
108
    }
109

110
    // pack8
111
    if ((opt.use_shader_pack8 && shape.dims == 0) || elempack == 8)
112
    {
113
        pipeline_celu_pack8 = new Pipeline(vkdev);
114
        pipeline_celu_pack8->set_optimal_local_size_xyz(local_size_xyz);
115
        pipeline_celu_pack8->create(LayerShaderType::celu_pack8, opt, specializations);
116
    }
117

118
    return 0;
119
}
120

121
int CELU_vulkan::destroy_pipeline(const Option& /*opt*/)
122
{
123
    delete pipeline_celu;
124
    pipeline_celu = 0;
125

126
    delete pipeline_celu_pack4;
127
    pipeline_celu_pack4 = 0;
128

129
    delete pipeline_celu_pack8;
130
    pipeline_celu_pack8 = 0;
131

132
    return 0;
133
}
134

135
int CELU_vulkan::forward_inplace(VkMat& bottom_top_blob, VkCompute& cmd, const Option& /*opt*/) const
136
{
137
    int elempack = bottom_top_blob.elempack;
138

139
    std::vector<VkMat> bindings(1);
140
    bindings[0] = bottom_top_blob;
141

142
    std::vector<vk_constant_type> constants(5);
143
    constants[0].i = bottom_top_blob.dims;
144
    constants[1].i = bottom_top_blob.w;
145
    constants[2].i = bottom_top_blob.h * bottom_top_blob.d;
146
    constants[3].i = bottom_top_blob.c;
147
    constants[4].i = bottom_top_blob.cstep;
148

149
    const Pipeline* pipeline = elempack == 8 ? pipeline_celu_pack8
150
                               : elempack == 4 ? pipeline_celu_pack4
151
                               : pipeline_celu;
152

153
    cmd.record_pipeline(pipeline, bindings, constants, bottom_top_blob);
154

155
    return 0;
156
}
157

158
int CELU_vulkan::forward_inplace(VkImageMat& bottom_top_blob, VkCompute& cmd, const Option& /*opt*/) const
159
{
160
    int elempack = bottom_top_blob.elempack;
161

162
    std::vector<VkImageMat> bindings(2);
163
    bindings[0] = bottom_top_blob;
164
    bindings[1] = bottom_top_blob;
165

166
    std::vector<vk_constant_type> constants(5);
167
    constants[0].i = bottom_top_blob.dims;
168
    constants[1].i = bottom_top_blob.w;
169
    constants[2].i = bottom_top_blob.h * bottom_top_blob.d;
170
    constants[3].i = bottom_top_blob.c;
171
    constants[4].i = 0; //bottom_top_blob.cstep;
172

173
    const Pipeline* pipeline = elempack == 8 ? pipeline_celu_pack8
174
                               : elempack == 4 ? pipeline_celu_pack4
175
                               : pipeline_celu;
176

177
    cmd.record_pipeline(pipeline, bindings, constants, bottom_top_blob);
178

179
    return 0;
180
}
181

182
} // namespace ncnn
183

Использование cookies

Мы используем файлы cookie в соответствии с Политикой конфиденциальности и Политикой использования cookies.

Нажимая кнопку «Принимаю», Вы даете АО «СберТех» согласие на обработку Ваших персональных данных в целях совершенствования нашего веб-сайта и Сервиса GitVerse, а также повышения удобства их использования.

Запретить использование cookies Вы можете самостоятельно в настройках Вашего браузера.