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 <chrono>
17 #include <cstdlib>
18 #include <cstring>
19 #include <functional>
20 #include <iostream>
21 #include <memory>
22 #include <string>
23 #include "minddata/dataset/core/client.h"
24 #include "minddata/dataset/engine/datasetops/source/tf_reader_op.h"
25 #include "minddata/dataset/engine/jagged_connector.h"
26 #include "gtest/gtest.h"
27 #include "minddata/dataset/core/global_context.h"
28 #include "minddata/dataset/util/status.h"
29 #include "minddata/dataset/core/client.h"
30 #include "common/common.h"
31 #include "gtest/gtest.h"
32 #include "utils/log_adapter.h"
33 #include <memory>
34 #include <vector>
35 #include <iostream>
36
37 using namespace mindspore::dataset;
38 using mindspore::LogStream;
39 using mindspore::ExceptionType::NoExceptionType;
40 using mindspore::MsLogLevel::INFO;
41
42 class MindDataTestClientConfig : public UT::DatasetOpTesting {
43 protected:
44 };
45
TEST_F(MindDataTestClientConfig,TestClientConfig1)46 TEST_F(MindDataTestClientConfig, TestClientConfig1) {
47 std::shared_ptr<ConfigManager> my_conf = GlobalContext::config_manager();
48
49 ASSERT_EQ(my_conf->num_parallel_workers(), kCfgParallelWorkers);
50 ASSERT_EQ(my_conf->worker_connector_size(), kCfgWorkerConnectorSize);
51 ASSERT_EQ(my_conf->op_connector_size(), kCfgOpConnectorSize);
52 ASSERT_EQ(my_conf->seed(), kCfgDefaultSeed);
53
54 my_conf->set_num_parallel_workers(2);
55 my_conf->set_worker_connector_size(3);
56 my_conf->set_op_connector_size(4);
57 my_conf->set_seed(5);
58 my_conf->set_enable_shared_mem(false);
59
60 ASSERT_EQ(my_conf->num_parallel_workers(), 2);
61 ASSERT_EQ(my_conf->worker_connector_size(), 3);
62 ASSERT_EQ(my_conf->op_connector_size(), 4);
63 ASSERT_EQ(my_conf->seed(), 5);
64 ASSERT_EQ(my_conf->enable_shared_mem(), false);
65
66 std::string file = datasets_root_path_ + "/declient.cfg";
67 ASSERT_TRUE(my_conf->LoadFile(file));
68
69 ASSERT_EQ(my_conf->num_parallel_workers(), kCfgParallelWorkers);
70 ASSERT_EQ(my_conf->worker_connector_size(), kCfgWorkerConnectorSize);
71 ASSERT_EQ(my_conf->op_connector_size(), kCfgOpConnectorSize);
72 ASSERT_EQ(my_conf->seed(), kCfgDefaultSeed);
73 }
74
TEST_F(MindDataTestClientConfig,TestClientConfig2)75 TEST_F(MindDataTestClientConfig, TestClientConfig2) {
76 std::shared_ptr<ConfigManager> my_conf = GlobalContext::config_manager();
77
78 my_conf->set_num_parallel_workers(8);
79
80 Status rc;
81
82 // Start with an empty execution tree
83 auto my_tree = std::make_shared<ExecutionTree>();
84
85 // Test info:
86 // Dataset from testDataset1 has 10 rows, 2 columns.
87 std::string dataset_path;
88 dataset_path = datasets_root_path_ + "/testDataset1/testDataset1.data";
89 // get defaults for tf_reader
90 std::shared_ptr<ConfigManager> config_manager = GlobalContext::config_manager();
91 auto op_connector_size = config_manager->op_connector_size();
92 std::vector<std::string> columns_to_load = {};
93 std::vector<std::string> files = {dataset_path};
94 std::unique_ptr<DataSchema> schema = std::make_unique<DataSchema>();
95 std::shared_ptr<TFReaderOp> my_tfreader_op = std::make_shared<TFReaderOp>(
96 1, 2, 0, files, std::move(schema), op_connector_size, columns_to_load, false, 1, 0, false);
97 rc = my_tfreader_op->Init();
98 ASSERT_OK(rc);
99 ASSERT_EQ(my_tfreader_op->NumWorkers(), 1);
100 my_tree->AssociateNode(my_tfreader_op);
101
102 // Set children/root layout.
103 my_tree->AssignRoot(my_tfreader_op);
104
105 my_tree->Prepare();
106 my_tree->Launch();
107
108 // Start the loop of reading tensors from our pipeline
109 DatasetIterator di(my_tree);
110 TensorRow tensor_list;
111 rc = di.FetchNextTensorRow(&tensor_list);
112 ASSERT_TRUE(rc.IsOk());
113
114 int row_count = 0;
115 while (!tensor_list.empty()) {
116 rc = di.FetchNextTensorRow(&tensor_list);
117 ASSERT_TRUE(rc.IsOk());
118 row_count++;
119 }
120 ASSERT_EQ(row_count, 10); // Should be 10 rows fetched
121 ASSERT_EQ(my_tfreader_op->NumWorkers(), 1);
122 }
123