1 /** 2 * Copyright 2019 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 <cstring> 17 #include <iostream> 18 #include <memory> 19 #include <string> 20 #include "minddata/dataset/core/client.h" 21 #include "minddata/dataset/engine/datasetops/rename_op.h" 22 #include "minddata/dataset/engine/jagged_connector.h" 23 #include "common/common.h" 24 #include "utils/ms_utils.h" 25 26 #include "gtest/gtest.h" 27 #include "minddata/dataset/core/global_context.h" 28 #include "utils/log_adapter.h" 29 30 namespace common = mindspore::common; 31 32 using namespace mindspore::dataset; 33 using mindspore::LogStream; 34 using mindspore::ExceptionType::NoExceptionType; 35 using mindspore::MsLogLevel::INFO; 36 37 class MindDataTestRenameOp : public UT::DatasetOpTesting {}; 38 39 TEST_F(MindDataTestRenameOp, TestRenameOpDefault) { 40 // Tree: 41 // 42 // 43 // OpId(2) RenameOp 44 // | 45 // OpId(0) TFReaderOp 46 // Start with an empty execution tree 47 Status rc; 48 MS_LOG(INFO) << "UT test TestRenameBasic."; 49 auto my_tree = std::make_shared<ExecutionTree>(); 50 // Creating TFReaderOp 51 52 std::string dataset_path = datasets_root_path_ + "/test_tf_file_3_images/train-0000-of-0001.data"; 53 std::shared_ptr<ConfigManager> config_manager = GlobalContext::config_manager(); 54 int32_t op_connector_size = config_manager->op_connector_size(); 55 int32_t num_workers = 1; 56 int32_t worker_connector_size = 16; 57 std::vector<std::string> columns_to_load = {}; 58 std::vector<std::string> files = {dataset_path}; 59 std::unique_ptr<DataSchema> schema = std::make_unique<DataSchema>(); 60 std::shared_ptr<TFReaderOp> my_tfreader_op = 61 std::make_shared<TFReaderOp>(num_workers, worker_connector_size, 0, files, std::move(schema), op_connector_size, 62 columns_to_load, false, 1, 0, false); 63 rc = my_tfreader_op->Init(); 64 EXPECT_TRUE(rc.IsOk()); 65 rc = my_tree->AssociateNode(my_tfreader_op); 66 EXPECT_TRUE(rc.IsOk()); 67 68 // Creating DatasetOp 69 std::vector<std::string> in_col_names = {"label"}; 70 std::vector<std::string> out_col_names = {"label1"}; 71 72 std::shared_ptr<RenameOp> rename_op = std::make_shared<RenameOp>(in_col_names, out_col_names); 73 74 rc = my_tree->AssociateNode(rename_op); 75 EXPECT_TRUE(rc.IsOk()); 76 rc = rename_op->AddChild(std::move(my_tfreader_op)); 77 EXPECT_TRUE(rc.IsOk()); 78 rc = my_tree->AssignRoot(rename_op); 79 EXPECT_TRUE(rc.IsOk()); 80 rc = my_tree->Prepare(); 81 EXPECT_TRUE(rc.IsOk()); 82 83 // Launch the tree execution to kick off threads and start running the pipeline 84 MS_LOG(INFO) << "Launching my tree."; 85 rc = my_tree->Launch(); 86 EXPECT_TRUE(rc.IsOk()); 87 88 // Simulate a parse of data from our pipeline. 89 std::shared_ptr<DatasetOp> root_node = my_tree->root(); 90 91 DatasetIterator di(my_tree); 92 TensorRow tensor_list; 93 rc = di.FetchNextTensorRow(&tensor_list); 94 EXPECT_TRUE(rc.IsOk()); 95 96 int row_count = 0; 97 while (!tensor_list.empty()) { 98 MS_LOG(INFO) << "Row display for row #: " << row_count << "."; 99 100 // Display the tensor by calling the printer on it 101 for (int i = 0; i < tensor_list.size(); i++) { 102 std::ostringstream ss; 103 ss << "(" << tensor_list[i] << "): " << *tensor_list[i] << std::endl; 104 MS_LOG(INFO) << "Tensor print: " << ss.str() << "."; 105 } 106 rc = di.FetchNextTensorRow(&tensor_list); 107 EXPECT_TRUE(rc.IsOk()); 108 row_count++; 109 } 110 ASSERT_EQ(row_count, 3); // Should be 3 rows fetched 111 } 112