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
|
#include "tensorflow/core/framework/allocator.h"
#include "tensorflow/core/framework/fake_input.h"
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/framework/node_def_builder.h"
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/tensor_testutil.h"
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/kernels/ops_util.h"
#include "tensorflow/core/kernels/ops_testutil.h"
#include "tensorflow/core/public/tensor.h"
#include <gtest/gtest.h>
#include "tensorflow/core/lib/core/status_test_util.h"
namespace tensorflow {
class ResizeBilinearOpTest : public OpsTestBase {
protected:
ResizeBilinearOpTest() {
RequireDefaultOps();
EXPECT_OK(NodeDefBuilder("resize_bilinear_op", "ResizeBilinear")
.Input(FakeInput(DT_FLOAT))
.Input(FakeInput(DT_INT32))
.Finalize(node_def()));
EXPECT_OK(InitOp());
}
};
TEST_F(ResizeBilinearOpTest, TestBilinear2x2To1x1) {
// Input:
// 1, 2
// 3, 4
AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
AddInputFromArray<int32>(TensorShape({2}), {1, 1});
ASSERT_OK(RunOpKernel());
// When scaling down, we have to arbitrarily pick a pixel from the
// original input. In this case, we choose the top/left most pixel.
Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 1, 1, 1}));
test::FillValues<float>(&expected, {1.0});
test::ExpectTensorEqual<float>(expected, *GetOutput(0));
}
TEST_F(ResizeBilinearOpTest, TestBilinear2x2To3x3) {
// Input:
// 1, 2
// 3, 4
AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
AddInputFromArray<int32>(TensorShape({2}), {3, 3});
ASSERT_OK(RunOpKernel());
Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 3, 3, 1}));
// The corners should match the original corners, and we bilinear
// interpolate the values in between.
// clang-format off
test::FillValues<float>(&expected,
{1, 5.0/3, 2,
7.0/3, 3, 10.0/3,
3, 11.0/3, 4});
// clang-format on
test::ExpectTensorEqual<float>(expected, *GetOutput(0));
}
TEST_F(ResizeBilinearOpTest, TestBilinear3x3To4x4) {
// Input:
// 1, 2, 3,
// 4, 5, 6,
// 7, 8, 9
AddInputFromArray<float>(TensorShape({1, 3, 3, 1}),
{1, 2, 3, 4, 5, 6, 7, 8, 9});
AddInputFromArray<int32>(TensorShape({2}), {4, 4});
ASSERT_OK(RunOpKernel());
// The corners should match the original corners, and we bilinear
// interpolate the values in between.
Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 4, 4, 1}));
// clang-format off
test::FillValues<float>(&expected,
{1, 1.75, 2.5, 3,
3.25, 4, 4.75, 5.25,
5.5, 6.25, 7, 7.5,
7, 7.75, 8.5, 9});
// clang-format on
test::ExpectTensorEqual<float>(expected, *GetOutput(0));
}
TEST_F(ResizeBilinearOpTest, TestBilinear2x2To3x3Batch2) {
// Input:
// 1, 2
// 3, 4
//
// repeated twice
AddInputFromArray<float>(TensorShape({2, 2, 2, 1}), {1, 2, 3, 4, 1, 2, 3, 4});
AddInputFromArray<int32>(TensorShape({2}), {3, 3});
ASSERT_OK(RunOpKernel());
Tensor expected(allocator(), DT_FLOAT, TensorShape({2, 3, 3, 1}));
// clang-format off
test::FillValues<float>(&expected,
{1, 5.0/3, 2, 7.0/3, 3, 10.0/3, 3, 11.0/3, 4,
1, 5.0/3, 2, 7.0/3, 3, 10.0/3, 3, 11.0/3, 4
});
// clang-format on
test::ExpectTensorEqual<float>(expected, *GetOutput(0));
}
TEST_F(ResizeBilinearOpTest, TestBilinear2x2x2To3x3x2) {
AddInputFromArray<float>(TensorShape({1, 2, 2, 2}),
{1, -1, 2, -2, 3, -3, 4, -4});
AddInputFromArray<int32>(TensorShape({2}), {3, 3});
ASSERT_OK(RunOpKernel());
Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 3, 3, 2}));
// clang-format off
test::FillValues<float>(&expected,
{
1, -1,
5.0/3, -5.0/3,
2, -2,
7.0/3, -7.0/3,
3, -3,
10.0/3, -10.0/3,
3, -3,
11.0/3, -11.0/3,
4, -4
});
// clang-format on
test::ExpectTensorEqual<float>(expected, *GetOutput(0));
}
TEST_F(ResizeBilinearOpTest, TestBilinear2x2To4x4) {
// Input:
// 1, 2
// 3, 4
AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
AddInputFromArray<int32>(TensorShape({2}), {4, 4});
ASSERT_OK(RunOpKernel());
Tensor expected(allocator(), DT_FLOAT, TensorShape({1, 4, 4, 1}));
// clang-format off
test::FillValues<float>(&expected,
{1, 1.5, 2, 2,
2, 2.5, 3, 3,
3, 3.5, 4, 4,
3, 3.5, 4, 4});
// clang-format on
test::ExpectTensorEqual<float>(expected, *GetOutput(0));
}
TEST_F(ResizeBilinearOpTest, TestInvalidInputShape) {
AddInputFromArray<float>(TensorShape({2, 2, 1}), {1, 2, 3, 4});
AddInputFromArray<int32>(TensorShape({2}), {4, 4});
ASSERT_FALSE(RunOpKernel().ok());
}
TEST_F(ResizeBilinearOpTest, TestInvalidSizeDim) {
AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
AddInputFromArray<int32>(TensorShape({2, 1}), {4, 4});
ASSERT_FALSE(RunOpKernel().ok());
}
TEST_F(ResizeBilinearOpTest, TestInvalidSizeElements) {
AddInputFromArray<float>(TensorShape({1, 2, 2, 1}), {1, 2, 3, 4});
AddInputFromArray<int32>(TensorShape({3}), {4, 4, 1});
ASSERT_FALSE(RunOpKernel().ok());
}
} // namespace tensorflow
|
