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:
MindDataTestSlidingWindowOp()27 MindDataTestSlidingWindowOp() {}
28 };
29
TEST_F(MindDataTestSlidingWindowOp,Compute)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
TEST_F(MindDataTestSlidingWindowOp,OutputShape)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