File size: 7,687 Bytes
4ea50ff
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
#pragma once

#include "cpu/vision.h"

#ifdef WITH_CUDA
#include "cuda/vision.h"
#endif

at::Tensor
dcn_v2_forward(const at::Tensor &input,
               const at::Tensor &weight,
               const at::Tensor &bias,
               const at::Tensor &offset,
               const at::Tensor &mask,
               const int kernel_h,
               const int kernel_w,
               const int stride_h,
               const int stride_w,
               const int pad_h,
               const int pad_w,
               const int dilation_h,
               const int dilation_w,
               const int deformable_group)
{
    if (input.is_cuda())
    {
#ifdef WITH_CUDA
        return dcn_v2_cuda_forward(input, weight, bias, offset, mask,
                                   kernel_h, kernel_w,
                                   stride_h, stride_w,
                                   pad_h, pad_w,
                                   dilation_h, dilation_w,
                                   deformable_group);
#else
        AT_ERROR("Not compiled with GPU support");
#endif
    }
    else{
        return dcn_v2_cpu_forward(input, weight, bias, offset, mask,
                                   kernel_h, kernel_w,
                                   stride_h, stride_w,
                                   pad_h, pad_w,
                                   dilation_h, dilation_w,
                                   deformable_group);
    }
}

std::vector<at::Tensor>
dcn_v2_backward(const at::Tensor &input,
                const at::Tensor &weight,
                const at::Tensor &bias,
                const at::Tensor &offset,
                const at::Tensor &mask,
                const at::Tensor &grad_output,
                int kernel_h, int kernel_w,
                int stride_h, int stride_w,
                int pad_h, int pad_w,
                int dilation_h, int dilation_w,
                int deformable_group)
{
    if (input.is_cuda())
    {
#ifdef WITH_CUDA
        return dcn_v2_cuda_backward(input,
                                    weight,
                                    bias,
                                    offset,
                                    mask,
                                    grad_output,
                                    kernel_h, kernel_w,
                                    stride_h, stride_w,
                                    pad_h, pad_w,
                                    dilation_h, dilation_w,
                                    deformable_group);
#else
        AT_ERROR("Not compiled with GPU support");
#endif
    }
    else{
        return dcn_v2_cpu_backward(input,
                                    weight,
                                    bias,
                                    offset,
                                    mask,
                                    grad_output,
                                    kernel_h, kernel_w,
                                    stride_h, stride_w,
                                    pad_h, pad_w,
                                    dilation_h, dilation_w,
                                    deformable_group);
    }
}

std::tuple<at::Tensor, at::Tensor>
dcn_v2_psroi_pooling_forward(const at::Tensor &input,
                             const at::Tensor &bbox,
                             const at::Tensor &trans,
                             const int no_trans,
                             const float spatial_scale,
                             const int output_dim,
                             const int group_size,
                             const int pooled_size,
                             const int part_size,
                             const int sample_per_part,
                             const float trans_std)
{
    if (input.is_cuda())
    {
#ifdef WITH_CUDA
        return dcn_v2_psroi_pooling_cuda_forward(input,
                                                 bbox,
                                                 trans,
                                                 no_trans,
                                                 spatial_scale,
                                                 output_dim,
                                                 group_size,
                                                 pooled_size,
                                                 part_size,
                                                 sample_per_part,
                                                 trans_std);
#else
        AT_ERROR("Not compiled with GPU support");
#endif
    }
    else{
        return dcn_v2_psroi_pooling_cpu_forward(input,
                                                 bbox,
                                                 trans,
                                                 no_trans,
                                                 spatial_scale,
                                                 output_dim,
                                                 group_size,
                                                 pooled_size,
                                                 part_size,
                                                 sample_per_part,
                                                 trans_std);
    }
}

std::tuple<at::Tensor, at::Tensor>
dcn_v2_psroi_pooling_backward(const at::Tensor &out_grad,
                              const at::Tensor &input,
                              const at::Tensor &bbox,
                              const at::Tensor &trans,
                              const at::Tensor &top_count,
                              const int no_trans,
                              const float spatial_scale,
                              const int output_dim,
                              const int group_size,
                              const int pooled_size,
                              const int part_size,
                              const int sample_per_part,
                              const float trans_std)
{
    if (input.is_cuda())
    {
#ifdef WITH_CUDA
        return dcn_v2_psroi_pooling_cuda_backward(out_grad,
                                                  input,
                                                  bbox,
                                                  trans,
                                                  top_count,
                                                  no_trans,
                                                  spatial_scale,
                                                  output_dim,
                                                  group_size,
                                                  pooled_size,
                                                  part_size,
                                                  sample_per_part,
                                                  trans_std);
#else
        AT_ERROR("Not compiled with GPU support");
#endif
    }
    else{
        return dcn_v2_psroi_pooling_cpu_backward(out_grad,
                                                  input,
                                                  bbox,
                                                  trans,
                                                  top_count,
                                                  no_trans,
                                                  spatial_scale,
                                                  output_dim,
                                                  group_size,
                                                  pooled_size,
                                                  part_size,
                                                  sample_per_part,
                                                  trans_std);
    }
}