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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 
17 #ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_IR_DATASETOPS_SOURCE_TEXT_FILE_NODE_H_
18 #define MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_IR_DATASETOPS_SOURCE_TEXT_FILE_NODE_H_
19 
20 #include <memory>
21 #include <string>
22 #include <vector>
23 
24 #include "minddata/dataset/engine/ir/datasetops/dataset_node.h"
25 
26 namespace mindspore {
27 namespace dataset {
28 
29 /// \class TextFileNode
30 /// \brief A Dataset derived class to represent TextFile dataset
31 class TextFileNode : public NonMappableSourceNode {
32  public:
33   /// \brief Constructor
34   TextFileNode(std::vector<std::string> dataset_files, int32_t num_samples, ShuffleMode shuffle, int32_t num_shards,
35                int32_t shard_id, std::shared_ptr<DatasetCache> cache);
36 
37   /// \brief Destructor
38   ~TextFileNode() = default;
39 
40   /// \brief Node name getter
41   /// \return Name of the current node
Name()42   std::string Name() const override { return kTextFileNode; }
43 
44   /// \brief Print the description
45   /// \param out - The output stream to write output to
46   void Print(std::ostream &out) const override;
47 
48   /// \brief Copy the node to a new object
49   /// \return A shared pointer to the new copy
50   std::shared_ptr<DatasetNode> Copy() override;
51 
52   /// \brief a base class override function to create the required runtime dataset op objects for this class
53   /// \param node_ops - A vector containing shared pointer to the Dataset Ops that this object will create
54   /// \return Status Status::OK() if build successfully
55   Status Build(std::vector<std::shared_ptr<DatasetOp>> *const node_ops) override;
56 
57   /// \brief Parameters validation
58   /// \return Status Status::OK() if all the parameters are valid
59   Status ValidateParams() override;
60 
61   /// \brief Get the shard id of node
62   /// \return Status Status::OK() if get shard id successfully
63   Status GetShardId(int32_t *shard_id) override;
64 
65   /// \brief Base-class override for GetDatasetSize
66   /// \param[in] size_getter Shared pointer to DatasetSizeGetter
67   /// \param[in] estimate This is only supported by some of the ops and it's used to speed up the process of getting
68   ///     dataset size at the expense of accuracy.
69   /// \param[out] dataset_size the size of the dataset
70   /// \return Status of the function
71   Status GetDatasetSize(const std::shared_ptr<DatasetSizeGetter> &size_getter, bool estimate,
72                         int64_t *dataset_size) override;
73 
74   /// \brief Getter functions
DatasetFiles()75   const std::vector<std::string> &DatasetFiles() const { return dataset_files_; }
NumSamples()76   int32_t NumSamples() const { return num_samples_; }
NumShards()77   int32_t NumShards() const { return num_shards_; }
ShardId()78   int32_t ShardId() const { return shard_id_; }
Shuffle()79   ShuffleMode Shuffle() const { return shuffle_; }
80 
81   /// \brief Get the arguments of node
82   /// \param[out] out_json JSON string of all attributes
83   /// \return Status of the function
84   Status to_json(nlohmann::json *out_json) override;
85 
86   /// \brief Function to read dataset in json
87   /// \param[in] json_obj The JSON object to be deserialized
88   /// \param[out] ds Deserialized dataset
89   /// \return Status The status code returned
90   static Status from_json(nlohmann::json json_obj, std::shared_ptr<DatasetNode> *ds);
91 
92   /// \brief TextFile by itself is a non-mappable dataset that does not support sampling.
93   ///     However, if a cache operator is injected at some other place higher in the tree, that cache can
94   ///     inherit this sampler from the leaf, providing sampling support from the caching layer.
95   ///     That is why we setup the sampler for a leaf node that does not use sampling.
96   ///     Note: This function is common among NonMappableSourceNode and should be promoted to its parent class.
97   /// \param[in] sampler The sampler to setup
98   /// \return Status of the function
99   Status SetupSamplerForCache(std::shared_ptr<SamplerObj> *sampler) override;
100 
101   /// \brief If a cache has been added into the ascendant tree over this TextFile node, then the cache will be executing
102   ///     a sampler for fetching the data.  As such, any options in the TextFile node need to be reset to its defaults
103   ///     so that this TextFile node will produce the full set of data into the cache.
104   ///     Note: This function is common among NonMappableSourceNode and should be promoted to its parent class.
105   /// \return Status of the function
106   Status MakeSimpleProducer() override;
107 
108  private:
109   std::vector<std::string> dataset_files_;
110   int32_t num_samples_;
111   int32_t num_shards_;
112   int32_t shard_id_;
113   ShuffleMode shuffle_;
114 };
115 
116 }  // namespace dataset
117 }  // namespace mindspore
118 #endif  // MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_IR_DATASETOPS_SOURCE_TEXT_FILE_NODE_H_
119