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
|
#include "caffe2/core/common.h"
#include "caffe2/core/logging.h"
#include "caffe2/opt/backend_cutting.h"
#include "caffe2/utils/string_utils.h"
#include <gtest/gtest.h>
namespace {
using caffe2::StartsWith;
void AddConv(caffe2::NetDef* net, int tick) {
auto* op = net->add_op();
op->set_type("MyConv");
op->add_input("N" + c10::to_string(tick));
op->add_input("W" + c10::to_string(tick));
op->add_input("b" + c10::to_string(tick));
op->add_output("N" + c10::to_string(tick + 1));
}
bool Supports(const caffe2::OperatorDef& op) {
return StartsWith(op.type(), "MyConv") || StartsWith(op.type(), "MyRelu") ||
StartsWith(op.type(), "Concat");
}
caffe2::NetDef Transform(const caffe2::NetDef& net) {
caffe2::NetDef net_opt;
auto* op = net_opt.add_op();
op->set_type("BigOpt");
for (const auto& i : net.external_input()) {
// Absorb the weights and bias
if (!StartsWith(i, "W") && !StartsWith(i, "b")) {
net_opt.add_external_input(i);
op->add_input(i);
}
}
for (const auto& i : net.external_output()) {
net_opt.add_external_output(i);
op->add_output(i);
}
return net_opt;
}
} // namespace
// N0 -> MyConv -> N1
TEST(BackendCuttingTest, unit) {
caffe2::NetDef net;
AddConv(&net, 0);
net.add_external_input("N0");
net.add_external_input("W0");
net.add_external_input("b0");
net.add_external_output("N1");
auto cutResult = caffe2::opt::OptimizeForBackend(net, Supports, Transform);
auto net_opt = cutResult.net;
EXPECT_EQ(0, cutResult.numberOfSubnets);
EXPECT_EQ(1, net_opt.op_size());
EXPECT_EQ(1, net_opt.external_input_size());
EXPECT_EQ(1, net_opt.external_output_size());
}
// X -> CopyIn -> MyConv -> MyConv -> CopyOut -> Y
TEST(BackendCuttingTest, line) {
caffe2::NetDef net;
net.add_external_input("X");
// Adding weights as external intputs to test weight absorption
net.add_external_input("W0");
net.add_external_input("W1");
net.add_external_input("b0");
net.add_external_input("b1");
net.add_external_output("Y");
auto* op = net.add_op();
op->set_type("CopyIn");
op->add_input("X");
op->add_output("N0");
for (int i = 0; i < 2; ++i) {
AddConv(&net, i);
}
op = net.add_op();
op->set_type("CopyOut");
op->add_input("N2");
op->add_output("Y");
auto cutResult = caffe2::opt::OptimizeForBackend(net, Supports, Transform);
auto net_opt = cutResult.net;
EXPECT_EQ(0, cutResult.numberOfSubnets);
EXPECT_EQ(3, net_opt.op_size());
}
// X0 -> CopyIn -> MyConv -|
// > Concat -> CopyOut -> Y
// N2 -> MyConv -> MyRelu -|
TEST(BackendCuttingTest, convergedPaths) {
caffe2::NetDef net;
net.add_external_input("X0");
net.add_external_input("X1");
net.add_external_input("N2");
net.add_external_output("Y");
auto* op = net.add_op();
op->set_type("CopyIn");
op->add_input("X0");
op->add_output("N0");
AddConv(&net, 0);
AddConv(&net, 2);
op = net.add_op();
op->set_type("MyRelu");
op->add_input("N3");
op->add_output("N4");
op = net.add_op();
op->set_type("Concat");
op->add_input("X1");
op->add_input("N1");
op->add_input("N4");
op->add_output("N5");
op = net.add_op();
op->set_type("CopyOut");
op->add_input("N5");
op->add_output("Y");
auto cutResult = caffe2::opt::OptimizeForBackend(net, Supports, Transform);
auto net_opt = cutResult.net;
EXPECT_EQ(0, cutResult.numberOfSubnets);
EXPECT_EQ(3, net_opt.op_size());
};
// -> Random -> Relu -> MyConv4
// | |
// N0 -> MyConv -> MyRelu -> MyConv2 ----------> Concat -> CopyOut -> Y
TEST(BackendCuttingTest, skipPath) {
caffe2::NetDef net;
net.add_external_input("N0");
net.add_external_output("Y");
AddConv(&net, 0);
auto* op = net.add_op();
op->set_type("MyRelu");
op->add_input("N1");
op->add_output("N2");
op = net.add_op();
op->set_type("Random");
op->add_input("N1");
op->add_output("N4");
op = net.add_op();
op->set_type("MyRelu");
op->add_input("N4");
op->add_output("N5");
AddConv(&net, 2);
AddConv(&net, 5);
op = net.add_op();
op->set_type("Concat");
op->add_input("N3");
op->add_input("N6");
op->add_output("N7");
op = net.add_op();
op->set_type("CopyOut");
op->add_input("N7");
op->add_output("Y");
auto cutResult = caffe2::opt::OptimizeForBackend(net, Supports, Transform);
auto net_opt = cutResult.net;
EXPECT_EQ(0, cutResult.numberOfSubnets);
EXPECT_EQ(4, net_opt.op_size());
}
|
