/** * Copyright 2020 Huawei Technologies Co., Ltd * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include "common/common.h" #include "minddata/dataset/kernels/data/concatenate_op.h" #include "utils/log_adapter.h" using namespace mindspore::dataset; using mindspore::LogStream; using mindspore::ExceptionType::NoExceptionType; using mindspore::MsLogLevel::INFO; class MindDataTestConcatenateOp : public UT::Common { protected: MindDataTestConcatenateOp() {} }; TEST_F(MindDataTestConcatenateOp, TestOp) { MS_LOG(INFO) << "Doing MindDataTestConcatenate-TestOp-SingleRowinput."; std::vector labels = {1, 1, 2}; std::shared_ptr input; Tensor::CreateFromVector(labels, &input); std::vector append_labels = {4, 4, 4}; std::shared_ptr append; Tensor::CreateFromVector(append_labels, &append); std::shared_ptr output; std::unique_ptr op(new ConcatenateOp(0, nullptr, append)); TensorRow in; in.push_back(input); TensorRow out_row; Status s = op->Compute(in, &out_row); std::vector out = {1, 1, 2, 4, 4, 4}; std::shared_ptr expected; Tensor::CreateFromVector(out, &expected); output = out_row[0]; EXPECT_TRUE(s.IsOk()); ASSERT_TRUE(output->shape() == expected->shape()); ASSERT_TRUE(output->type() == expected->type()); MS_LOG(DEBUG) << *output << std::endl; MS_LOG(DEBUG) << *expected << std::endl; ASSERT_TRUE(*output == *expected); } TEST_F(MindDataTestConcatenateOp, TestOp2) { MS_LOG(INFO) << "Doing MindDataTestConcatenate-TestOp2-MultiInput."; std::vector labels = {1, 12, 2}; std::shared_ptr row_1; Tensor::CreateFromVector(labels, &row_1); std::shared_ptr row_2; Tensor::CreateFromVector(labels, &row_2); std::vector append_labels = {4, 4, 4}; std::shared_ptr append; Tensor::CreateFromVector(append_labels, &append); TensorRow tensor_list; tensor_list.push_back(row_1); tensor_list.push_back(row_2); std::shared_ptr output; std::unique_ptr op(new ConcatenateOp(0, nullptr, append)); TensorRow out_row; Status s = op->Compute(tensor_list, &out_row); std::vector out = {1, 12, 2, 1, 12, 2, 4, 4, 4}; std::shared_ptr expected; Tensor::CreateFromVector(out, &expected); output = out_row[0]; EXPECT_TRUE(s.IsOk()); ASSERT_TRUE(output->shape() == expected->shape()); ASSERT_TRUE(output->type() == expected->type()); MS_LOG(DEBUG) << *output << std::endl; MS_LOG(DEBUG) << *expected << std::endl; ASSERT_TRUE(*output == *expected); } TEST_F(MindDataTestConcatenateOp, TestOp3) { MS_LOG(INFO) << "Doing MindDataTestConcatenate-TestOp3-Strings."; std::vector labels = {"hello", "bye"}; std::shared_ptr row_1; Tensor::CreateFromVector(labels, &row_1); std::vector append_labels = {"1", "2", "3"}; std::shared_ptr append; Tensor::CreateFromVector(append_labels, &append); TensorRow tensor_list; tensor_list.push_back(row_1); std::shared_ptr output; std::unique_ptr op(new ConcatenateOp(0, nullptr, append)); TensorRow out_row; Status s = op->Compute(tensor_list, &out_row); std::vector out = {"hello", "bye", "1", "2", "3"}; std::shared_ptr expected; Tensor::CreateFromVector(out, &expected); output = out_row[0]; EXPECT_TRUE(s.IsOk()); ASSERT_TRUE(output->shape() == expected->shape()); ASSERT_TRUE(output->type() == expected->type()); MS_LOG(DEBUG) << *output << std::endl; MS_LOG(DEBUG) << *expected << std::endl; ASSERT_TRUE(*output == *expected); }