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
|
/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "ps_roi_pool_op.h"
namespace caffe2 {
REGISTER_CPU_OPERATOR(PSRoIPool, PSRoIPoolOp<float, CPUContext>);
REGISTER_CPU_OPERATOR(
PSRoIPoolGradient,
PSRoIPoolGradientOp<float, CPUContext>);
OPERATOR_SCHEMA(PSRoIPool)
.NumInputs(2)
.NumOutputs(2)
.SetDoc(R"DOC(
Position Sensitive Region of Interest Pooling as used in R-FCN.
)DOC")
.Arg(
"spatial_scale",
"(float) default 1.0; Spatial scale of the input feature map X "
"relative to the input image. E.g., 0.0625 if X has a stride of 16 "
"w.r.t. the input image.")
.Arg(
"group_size",
"(int) default 1; pooled_h = pooled_w = group_size where pooled_{h,w} "
"is the pooled output Y's height and width, respectively.")
.Arg(
"output_dim",
"(int) default 1; number of channels in the pooled output, which might "
"be the number of classes is used for classification or 4 if used for "
"class agnostic bounding box regression.")
.Input(
0,
"X",
"4D position sensitive feature map input of shape (N, C, H, W), where "
"C = group_size**2 * output_dim.")
.Input(
1,
"RoIs",
"2D input of shape (R, 5) specifying R RoIs with five columns "
"representing: batch index in [0, N - 1], x1, y1, x2, y2. The RoI "
"coordinates are in the coordinate system of the input image.")
.Output(
0,
"Y",
"4D output of shape (R, output_dim, pooled_h, pooled_w). The r-th "
"batch element is a pooled feature map cooresponding to the r-th RoI.")
.Output(
1,
"argmaxes",
"4D output of shape (R, output_dim, pooled_h, pooled_w). Same as Y, "
"except it records the argmax indices rather than the max pooled "
"values.");
OPERATOR_SCHEMA(PSRoIPoolGradient)
.NumInputs(4)
.NumOutputs(1)
.Input(
0,
"X",
"See PSRoIPool.")
.Input(
1,
"RoIs",
"See PSRoIPool.")
.Input(
2,
"argmaxes",
"See PSRoIPool.")
.Input(
3,
"dY",
"Gradient of forward output 0 (Y)")
.Output(
0,
"dX",
"Gradient of forward input 0 (X)");
class GetPSRoIPoolGradient : public GradientMakerBase {
using GradientMakerBase::GradientMakerBase;
vector<OperatorDef> GetGradientDefs() override {
return SingleGradientDef(
"PSRoIPoolGradient",
"",
vector<string>{I(0), I(1), O(1), GO(0)},
vector<string>{GI(0)});
}
};
REGISTER_GRADIENT(PSRoIPool, GetPSRoIPoolGradient);
} // namespace caffe2
|
