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127 lines
4.1 KiB
127 lines
4.1 KiB
/**
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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/kernels/data/concatenate_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::LogStream;
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using mindspore::ExceptionType::NoExceptionType;
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using mindspore::MsLogLevel::INFO;
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class MindDataTestConcatenateOp : public UT::Common {
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protected:
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MindDataTestConcatenateOp() {}
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};
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TEST_F(MindDataTestConcatenateOp, TestOp) {
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MS_LOG(INFO) << "Doing MindDataTestConcatenate-TestOp-SingleRowinput.";
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std::vector<uint64_t> labels = {1, 1, 2};
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std::shared_ptr<Tensor> input;
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Tensor::CreateFromVector(labels, &input);
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std::vector<uint64_t> append_labels = {4, 4, 4};
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std::shared_ptr<Tensor> append;
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Tensor::CreateFromVector(append_labels, &append);
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std::shared_ptr<Tensor> output;
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std::unique_ptr<ConcatenateOp> op(new ConcatenateOp(0, nullptr, append));
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TensorRow in;
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in.push_back(input);
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TensorRow out_row;
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Status s = op->Compute(in, &out_row);
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std::vector<uint64_t> out = {1, 1, 2, 4, 4, 4};
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std::shared_ptr<Tensor> expected;
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Tensor::CreateFromVector(out, &expected);
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output = out_row[0];
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EXPECT_TRUE(s.IsOk());
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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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}
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TEST_F(MindDataTestConcatenateOp, TestOp2) {
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MS_LOG(INFO) << "Doing MindDataTestConcatenate-TestOp2-MultiInput.";
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std::vector<uint64_t> labels = {1, 12, 2};
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std::shared_ptr<Tensor> row_1;
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Tensor::CreateFromVector(labels, &row_1);
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std::shared_ptr<Tensor> row_2;
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Tensor::CreateFromVector(labels, &row_2);
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std::vector<uint64_t> append_labels = {4, 4, 4};
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std::shared_ptr<Tensor> append;
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Tensor::CreateFromVector(append_labels, &append);
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TensorRow tensor_list;
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tensor_list.push_back(row_1);
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tensor_list.push_back(row_2);
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std::shared_ptr<Tensor> output;
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std::unique_ptr<ConcatenateOp> op(new ConcatenateOp(0, nullptr, append));
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TensorRow out_row;
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Status s = op->Compute(tensor_list, &out_row);
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std::vector<uint64_t> out = {1, 12, 2, 1, 12, 2, 4, 4, 4};
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std::shared_ptr<Tensor> expected;
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Tensor::CreateFromVector(out, &expected);
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output = out_row[0];
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EXPECT_TRUE(s.IsOk());
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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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}
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TEST_F(MindDataTestConcatenateOp, TestOp3) {
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MS_LOG(INFO) << "Doing MindDataTestConcatenate-TestOp3-Strings.";
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std::vector<std::string> labels = {"hello", "bye"};
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std::shared_ptr<Tensor> row_1;
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Tensor::CreateFromVector(labels, &row_1);
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std::vector<std::string> append_labels = {"1", "2", "3"};
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std::shared_ptr<Tensor> append;
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Tensor::CreateFromVector(append_labels, &append);
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TensorRow tensor_list;
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tensor_list.push_back(row_1);
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std::shared_ptr<Tensor> output;
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std::unique_ptr<ConcatenateOp> op(new ConcatenateOp(0, nullptr, append));
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TensorRow out_row;
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Status s = op->Compute(tensor_list, &out_row);
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std::vector<std::string> out = {"hello", "bye", "1", "2", "3"};
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std::shared_ptr<Tensor> expected;
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Tensor::CreateFromVector(out, &expected);
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output = out_row[0];
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EXPECT_TRUE(s.IsOk());
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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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}
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