1 /**
2 * Copyright 2020 Huawei Technologies Co., Ltd
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16 #include "common/common.h"
17 #include "minddata/dataset/kernels/data/fill_op.h"
18 #include "utils/log_adapter.h"
19
20 using namespace mindspore::dataset;
21 using mindspore::LogStream;
22 using mindspore::ExceptionType::NoExceptionType;
23 using mindspore::MsLogLevel::INFO;
24
25 class MindDataTestFillOp : public UT::Common {
26 protected:
MindDataTestFillOp()27 MindDataTestFillOp() {}
28 };
29
TEST_F(MindDataTestFillOp,TestOp)30 TEST_F(MindDataTestFillOp, TestOp) {
31 MS_LOG(INFO) << "Doing MindDataTestFillOp-TestOp.";
32 std::vector<uint64_t> labels = {1, 1, 2};
33 std::shared_ptr<Tensor> input;
34 Tensor::CreateFromVector(labels, &input);
35
36 std::shared_ptr<Tensor> fill_tensor;
37 Tensor::CreateScalar<uint64_t>(4, &fill_tensor);
38
39 std::shared_ptr<Tensor> output;
40 std::unique_ptr<FillOp> op(new FillOp(fill_tensor));
41 Status s = op->Compute(input, &output);
42
43 std::vector<uint64_t> out = {4, 4, 4};
44 std::shared_ptr<Tensor> expected;
45 Tensor::CreateFromVector(out, &expected);
46
47 EXPECT_TRUE(s.IsOk());
48 ASSERT_TRUE(output->shape() == expected->shape());
49 ASSERT_TRUE(output->type() == expected->type());
50 MS_LOG(DEBUG) << *output << std::endl;
51 MS_LOG(DEBUG) << *expected << std::endl;
52
53 ASSERT_TRUE(*output == *expected);
54 MS_LOG(INFO) << "MindDataTestFillOp-TestOp end.";
55 }
56
TEST_F(MindDataTestFillOp,TestCasting)57 TEST_F(MindDataTestFillOp, TestCasting) {
58 MS_LOG(INFO) << "Doing MindDataTestFillOp-TestCasting.";
59 std::vector<uint64_t> labels = {0, 1, 2};
60 std::shared_ptr<Tensor> input;
61 Tensor::CreateFromVector(labels, &input);
62
63 std::shared_ptr<Tensor> fill_tensor;
64 Tensor::CreateScalar<float>(2.0, &fill_tensor);
65
66 std::shared_ptr<Tensor> output;
67 std::unique_ptr<FillOp> op(new FillOp(fill_tensor));
68 Status s = op->Compute(input, &output);
69
70 std::vector<uint64_t> out = {2, 2, 2};
71 std::shared_ptr<Tensor> expected;
72 Tensor::CreateFromVector(out, &expected);
73
74 ASSERT_TRUE(output->shape() == expected->shape());
75 ASSERT_TRUE(output->type() == expected->type());
76
77 EXPECT_TRUE(s.IsOk());
78 MS_LOG(DEBUG) << *output << std::endl;
79 MS_LOG(DEBUG) << *expected << std::endl;
80 ASSERT_TRUE(*output == *expected);
81
82 MS_LOG(INFO) << "MindDataTestFillOp-TestCasting end.";
83 }
84
TEST_F(MindDataTestFillOp,ScalarFill)85 TEST_F(MindDataTestFillOp, ScalarFill) {
86 MS_LOG(INFO) << "Doing MindDataTestFillOp-ScalarFill.";
87 std::vector<uint64_t> labels = {0, 1, 2};
88 std::shared_ptr<Tensor> input;
89 Tensor::CreateFromVector(labels, &input);
90
91 TensorShape fill_shape({2});
92 std::vector<uint64_t> fill_labels = {0, 1};
93 std::shared_ptr<Tensor> fill_tensor;
94 Tensor::CreateFromVector(fill_labels, &fill_tensor);
95
96 std::shared_ptr<Tensor> output;
97 std::unique_ptr<FillOp> op(new FillOp(fill_tensor));
98 Status s = op->Compute(input, &output);
99
100 EXPECT_TRUE(s.IsError());
101 ASSERT_TRUE(s.StatusCode() == StatusCode::kMDUnexpectedError);
102
103 MS_LOG(INFO) << "MindDataTestFillOp-ScalarFill end.";
104 }
105
TEST_F(MindDataTestFillOp,StringFill)106 TEST_F(MindDataTestFillOp, StringFill) {
107 MS_LOG(INFO) << "Doing MindDataTestFillOp-StringFill.";
108 std::vector<std::string> strings = {"xyzzy", "plugh", "abracadabra"};
109 std::shared_ptr<Tensor> input;
110 Tensor::CreateFromVector(strings, &input);
111
112 std::shared_ptr<Tensor> fill_tensor;
113 Tensor::CreateScalar<std::string>("hello", &fill_tensor);
114
115 std::shared_ptr<Tensor> output;
116
117 std::unique_ptr<FillOp> op(new FillOp(fill_tensor));
118 Status s = op->Compute(input, &output);
119
120 std::vector<std::string> expected_strings = {"hello", "hello", "hello"};
121 std::shared_ptr<Tensor> expected;
122 Tensor::CreateFromVector(expected_strings, &expected);
123
124 EXPECT_TRUE(s.IsOk());
125 ASSERT_TRUE(output->shape() == expected->shape());
126 ASSERT_TRUE(output->type() == expected->type());
127 MS_LOG(DEBUG) << *output << std::endl;
128 MS_LOG(DEBUG) << *expected << std::endl;
129
130 ASSERT_TRUE(*output == *expected);
131
132 MS_LOG(INFO) << "MindDataTestFillOp-StringFill end.";
133 }
134
TEST_F(MindDataTestFillOp,NumericToString)135 TEST_F(MindDataTestFillOp, NumericToString) {
136 MS_LOG(INFO) << "Doing MindDataTestFillOp-NumericToString.";
137 std::vector<std::string> strings = {"xyzzy", "plugh", "abracadabra"};
138 std::shared_ptr<Tensor> input;
139 Tensor::CreateFromVector(strings, &input);
140
141 std::shared_ptr<Tensor> fill_tensor;
142 Tensor::CreateScalar<float>(2.0, &fill_tensor);
143
144 std::shared_ptr<Tensor> output;
145
146 std::unique_ptr<FillOp> op(new FillOp(fill_tensor));
147 Status s = op->Compute(input, &output);
148
149 EXPECT_TRUE(s.IsError());
150 ASSERT_TRUE(s.StatusCode() == StatusCode::kMDUnexpectedError);
151
152 MS_LOG(INFO) << "MindDataTestFillOp-NumericToString end.";
153 }
154
TEST_F(MindDataTestFillOp,StringToNumeric)155 TEST_F(MindDataTestFillOp, StringToNumeric) {
156 MS_LOG(INFO) << "Doing MindDataTestFillOp-StringToNumeric.";
157 std::vector<uint64_t> labels = {0, 1, 2};
158 std::shared_ptr<Tensor> input;
159 Tensor::CreateFromVector(labels, &input);
160
161 std::shared_ptr<Tensor> fill_tensor;
162 Tensor::CreateScalar<std::string>("hello", &fill_tensor);
163
164 std::shared_ptr<Tensor> output;
165
166 std::unique_ptr<FillOp> op(new FillOp(fill_tensor));
167 Status s = op->Compute(input, &output);
168
169 EXPECT_TRUE(s.IsError());
170 ASSERT_TRUE(s.StatusCode() == StatusCode::kMDUnexpectedError);
171
172 MS_LOG(INFO) << "MindDataTestFillOp-StringToNumeric end.";
173 }