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
|
/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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 "moco/Import/Nodes/Conv2D.h"
#include "TestHelper.h"
#include <gtest/gtest.h>
using namespace moco::test;
namespace
{
// clang-format off
const char *conv2d_01_pbtxtdata = STRING_CONTENT(
name: "conv2d"
op: "Conv2D"
input: "ifm"
input: "ker"
attr { key: "T" value { type: DT_FLOAT } }
attr { key: "data_format" value { s: "NHWC" } }
attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } }
attr { key: "padding" value { s: "VALID" } }
attr { key: "strides" value { list { i: 1 i: 2 i: 3 i: 1 } } }
);
// clang-format on
} // namespace
TEST(TensorFlowImport, Conv2D_01)
{
TFNodeBuildTester tester;
moco::Conv2DGraphBuilder graphbuilder;
tensorflow::NodeDef nodedef;
EXPECT_TRUE(plier::tf::parse_nodedef(conv2d_01_pbtxtdata, nodedef));
// what to test:
// - Conv2D node should exist
// - ifm() should not be nullptr
// - ker() should not be nullptr
// - attribute values should match
tester.inputs({"ifm", "ker"});
tester.output("conv2d");
tester.run(nodedef, graphbuilder);
auto test_node = dynamic_cast<moco::TFConv2D *>(tester.output());
ASSERT_NE(test_node, nullptr);
ASSERT_EQ(test_node->padding(), "VALID");
ASSERT_EQ(test_node->data_layout(), "NHWC");
auto strides = test_node->strides();
ASSERT_EQ(strides.size(), 4);
// TODO add verify dilation
}
namespace
{
// clang-format off
const char *conv2d_inception_pbtxtdata = STRING_CONTENT(
name: "InceptionV3/InceptionV3/Conv2d_1a_3x3/Conv2D"
op: "Conv2D"
input: "input:0"
input: "InceptionV3/Conv2d_1a_3x3/weights/read/_3__cf__3"
attr {
key: "T"
value { type: DT_FLOAT }
}
attr {
key: "data_format"
value { s: "NHWC" }
}
attr {
key: "dilations"
value {
list { i: 1 i: 1 i: 1 i: 1 }
}
}
attr {
key: "padding"
value { s: "VALID" }
}
attr {
key: "strides"
value {
list { i: 1 i: 2 i: 2 i: 1 }
}
}
);
} // namespace
TEST(TensorFlowImport, Conv2D_inception_indexed_tensor_name)
{
TFNodeBuildTester tester;
moco::Conv2DGraphBuilder graphbuilder;
tensorflow::NodeDef nodedef;
EXPECT_TRUE(plier::tf::parse_nodedef(conv2d_inception_pbtxtdata, nodedef));
// what to test: name with ':0' should be treated correctly
// - Conv2D node should exist
// - ifm() should not be nullptr
// - ker() should not be nullptr
tester.inputs({"input", "InceptionV3/Conv2d_1a_3x3/weights/read/_3__cf__3"});
tester.output("InceptionV3/InceptionV3/Conv2d_1a_3x3/Conv2D");
tester.run(nodedef, graphbuilder);
}
|
