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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/text/kernels/sliding_window_op.h"
18 #include "utils/log_adapter.h"
19 
20 using namespace mindspore::dataset;
21 using mindspore::MsLogLevel::INFO;
22 using mindspore::ExceptionType::NoExceptionType;
23 using mindspore::LogStream;
24 
25 class MindDataTestSlidingWindowOp : public UT::Common {
26  protected:
27   MindDataTestSlidingWindowOp() {}
28 };
29 
30 TEST_F(MindDataTestSlidingWindowOp, Compute) {
31   MS_LOG(INFO) << "Doing MindDataTestSlidingWindowOp->Compute.";
32   std::vector<std::string> strings = {"one", "two", "three", "four", "five", "six", "seven", "eight"};
33   TensorShape shape({static_cast<dsize_t>(strings.size())});
34   std::shared_ptr<Tensor> input;
35   Tensor::CreateFromVector(strings, shape, &input);
36   std::shared_ptr<Tensor> output;
37 
38   std::unique_ptr<SlidingWindowOp> op(new SlidingWindowOp(3, 0));
39   Status s = op->Compute(input, &output);
40 
41   std::vector<std::string> out = {"one",  "two",  "three", "two",  "three", "four",  "three", "four",  "five",
42                                   "four", "five", "six",   "five", "six",   "seven", "six",   "seven", "eight"};
43   std::shared_ptr<Tensor> expected;
44   Tensor::CreateFromVector(out, TensorShape({6, 3}), &expected);
45 
46   ASSERT_TRUE(output->shape() == expected->shape());
47   ASSERT_TRUE(output->type() == expected->type());
48   MS_LOG(DEBUG) << *output << std::endl;
49   MS_LOG(DEBUG) << *expected << std::endl;
50   ASSERT_TRUE(*output == *expected);
51 
52   MS_LOG(INFO) << "MindDataTestSlidingWindowOp end.";
53 }
54 
55 TEST_F(MindDataTestSlidingWindowOp, OutputShape) {
56   MS_LOG(INFO) << "Doing MindDataTestSlidingWindowOp->OutputShape.";
57   std::vector<std::string> strings = {"one", "two", "three", "four", "five", "six", "seven", "eight"};
58   TensorShape shape({static_cast<dsize_t>(strings.size())});
59   std::shared_ptr<Tensor> input;
60   Tensor::CreateFromVector(strings, shape, &input);
61   std::vector<TensorShape> input_shape = {input->shape()};
62   std::vector<TensorShape> output_shape = {TensorShape({})};
63 
64   std::unique_ptr<SlidingWindowOp> op(new SlidingWindowOp(3, 0));
65   Status s = op->OutputShape(input_shape, output_shape);
66 
67   MS_LOG(DEBUG) << "input_shape" << input_shape[0];
68   MS_LOG(DEBUG) << "output_shape" << output_shape[0];
69   ASSERT_TRUE(output_shape[0] == TensorShape({6, 3}));
70 
71   MS_LOG(INFO) << "MindDataTestSlidingWindowOp end.";
72 }
73