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 <iostream> 17 #include <memory> 18 #include <vector> 19 20 #include "common/common.h" 21 #include "utils/ms_utils.h" 22 #include "minddata/dataset/core/client.h" 23 #include "minddata/dataset/engine/jagged_connector.h" 24 #include "gtest/gtest.h" 25 #include "utils/log_adapter.h" 26 27 namespace common = mindspore::common; 28 29 using namespace mindspore::dataset; 30 using mindspore::LogStream; 31 using mindspore::ExceptionType::NoExceptionType; 32 using mindspore::MsLogLevel::INFO; 33 34 class MindDataTestTakeOp : public UT::DatasetOpTesting {}; 35 36 TEST_F(MindDataTestTakeOp, TestTakeProject) { 37 // Start with an empty execution tree 38 auto my_tree = std::make_shared<ExecutionTree>(); 39 Status rc; 40 std::string dataset_path; 41 dataset_path = datasets_root_path_ + "/testTFTestAllTypes/test.data"; 42 43 // TFReaderOp 44 std::unique_ptr<DataSchema> schema = std::make_unique<DataSchema>(); 45 schema->LoadSchemaFile(datasets_root_path_ + "/testTFTestAllTypes/datasetSchema.json", {}); 46 std::shared_ptr<ConfigManager> config_manager = GlobalContext::config_manager(); 47 auto num_workers = 1; 48 auto op_connector_size = config_manager->op_connector_size(); 49 std::vector<std::string> columns_to_load = {}; 50 std::vector<std::string> files = {dataset_path}; 51 // worker connector size = 16 52 std::shared_ptr<TFReaderOp> my_tfreader_op = std::make_shared<TFReaderOp>( 53 num_workers, 16, 0, files, std::make_unique<DataSchema>(), op_connector_size, columns_to_load, false, 1, 0, false); 54 rc = my_tfreader_op->Init(); 55 ASSERT_OK(rc); 56 // TakeOp 57 std::shared_ptr<TakeOp> my_take_op = std::make_shared<TakeOp>(5); 58 59 rc = my_tree->AssociateNode(my_tfreader_op); 60 ASSERT_OK(rc); 61 rc = my_tree->AssociateNode(my_take_op); 62 ASSERT_OK(rc); 63 64 // Set children/root layout. 65 rc = my_take_op->AddChild(my_tfreader_op); 66 ASSERT_OK(rc); 67 rc = my_tree->AssignRoot(my_take_op); 68 ASSERT_OK(rc); 69 70 MS_LOG(DEBUG) << "Launching tree and begin iteration."; 71 rc = my_tree->Prepare(); 72 73 ASSERT_OK(rc); 74 75 rc = my_tree->Launch(); 76 ASSERT_OK(rc); 77 78 // Start the loop of reading tensors from our pipeline 79 DatasetIterator di(my_tree); 80 TensorRow tensor_list; 81 rc = di.FetchNextTensorRow(&tensor_list); 82 ASSERT_OK(rc); 83 84 int row_count = 0; 85 while (!tensor_list.empty()) { 86 MS_LOG(DEBUG) << "Row display for row #: " << row_count << "."; 87 88 // Display the tensor by calling the printer on it 89 for (int i = 0; i < tensor_list.size(); i++) { 90 std::ostringstream ss; 91 ss << "(" << tensor_list[i] << "): " << *tensor_list[i] << std::endl; 92 MS_LOG(DEBUG) << "Tensor print: " << ss.str() << "."; 93 } 94 95 rc = di.FetchNextTensorRow(&tensor_list); 96 ASSERT_OK(rc); 97 row_count++; 98 } 99 100 ASSERT_EQ(row_count, 5); 101 } 102