forked from mindspore-Ecosystem/mindspore
70 lines
2.8 KiB
C++
70 lines
2.8 KiB
C++
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "common/common.h"
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#include "minddata/dataset/text/kernels/sliding_window_op.h"
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#include "utils/log_adapter.h"
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using namespace mindspore::dataset;
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using mindspore::MsLogLevel::INFO;
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using mindspore::ExceptionType::NoExceptionType;
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using mindspore::LogStream;
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class MindDataTestSlidingWindowOp : public UT::Common {
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protected:
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MindDataTestSlidingWindowOp() {}
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};
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TEST_F(MindDataTestSlidingWindowOp, Compute) {
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MS_LOG(INFO) << "Doing MindDataTestSlidingWindowOp->Compute.";
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std::vector<std::string> strings = {"one", "two", "three", "four", "five", "six", "seven", "eight"};
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TensorShape shape({static_cast<dsize_t>(strings.size())});
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std::shared_ptr<Tensor> input = std::make_shared<Tensor>(strings, shape);
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std::shared_ptr<Tensor> output;
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std::unique_ptr<SlidingWindowOp> op(new SlidingWindowOp(3, 0));
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Status s = op->Compute(input, &output);
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std::vector<std::string> out = {"one", "two", "three", "two", "three", "four", "three", "four", "five",
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"four", "five", "six", "five", "six", "seven", "six", "seven", "eight"};
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std::shared_ptr<Tensor> expected = std::make_shared<Tensor>(out, TensorShape({6, 3}));
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ASSERT_TRUE(output->shape() == expected->shape());
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ASSERT_TRUE(output->type() == expected->type());
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MS_LOG(DEBUG) << *output << std::endl;
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MS_LOG(DEBUG) << *expected << std::endl;
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ASSERT_TRUE(*output == *expected);
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MS_LOG(INFO) << "MindDataTestSlidingWindowOp end.";
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}
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TEST_F(MindDataTestSlidingWindowOp, OutputShape) {
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MS_LOG(INFO) << "Doing MindDataTestSlidingWindowOp->OutputShape.";
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std::vector<std::string> strings = {"one", "two", "three", "four", "five", "six", "seven", "eight"};
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TensorShape shape({static_cast<dsize_t>(strings.size())});
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std::shared_ptr<Tensor> input = std::make_shared<Tensor>(strings, shape);
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std::vector<TensorShape> input_shape = {input->shape()};
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std::vector<TensorShape> output_shape = {TensorShape({})};
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std::unique_ptr<SlidingWindowOp> op(new SlidingWindowOp(3, 0));
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Status s = op->OutputShape(input_shape, output_shape);
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MS_LOG(DEBUG) << "input_shape" << input_shape[0];
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MS_LOG(DEBUG) << "output_shape" << output_shape[0];
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ASSERT_TRUE(output_shape[0] == TensorShape({6, 3}));
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MS_LOG(INFO) << "MindDataTestSlidingWindowOp end.";
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}
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