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mindspore/mindspore/ccsrc/minddata/dataset/include/datasets.h

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/**
* 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.
*/
#ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_INCLUDE_DATASETS_H_
#define MINDSPORE_CCSRC_MINDDATA_DATASET_INCLUDE_DATASETS_H_
#include <vector>
#include <memory>
#include <set>
#include <map>
#include <utility>
#include <string>
#include "minddata/dataset/include/tensor.h"
#include "minddata/dataset/include/iterator.h"
#include "minddata/dataset/include/samplers.h"
namespace mindspore {
namespace dataset {
// Forward declare
class DatasetOp;
class DataSchema;
class Tensor;
class TensorShape;
namespace api {
class TensorOperation;
class SamplerObj;
// Datasets classes (in alphabetical order)
class Cifar10Dataset;
class Cifar100Dataset;
class CocoDataset;
class ImageFolderDataset;
class MnistDataset;
class VOCDataset;
// Dataset Op classes (in alphabetical order)
class BatchDataset;
class ConcatDataset;
class MapDataset;
class ProjectDataset;
class RenameDataset;
class RepeatDataset;
class ShuffleDataset;
class SkipDataset;
class TakeDataset;
class ZipDataset;
/// \brief Function to create a Cifar10 Dataset
/// \notes The generated dataset has two columns ['image', 'label']
/// \param[in] dataset_dir Path to the root directory that contains the dataset
/// \param[in] sampler Object used to choose samples from the dataset. If sampler is `nullptr`, A `RandomSampler`
/// will be used to randomly iterate the entire dataset
/// \return Shared pointer to the current Dataset
std::shared_ptr<Cifar10Dataset> Cifar10(const std::string &dataset_dir, std::shared_ptr<SamplerObj> sampler = nullptr);
/// \brief Function to create a Cifar100 Dataset
/// \notes The generated dataset has two columns ['image', 'coarse_label', 'fine_label']
/// \param[in] dataset_dir Path to the root directory that contains the dataset
/// \param[in] sampler Object used to choose samples from the dataset. If sampler is `nullptr`, A `RandomSampler`
/// will be used to randomly iterate the entire dataset
/// \return Shared pointer to the current Dataset
std::shared_ptr<Cifar100Dataset> Cifar100(const std::string &dataset_dir,
std::shared_ptr<SamplerObj> sampler = nullptr);
/// \brief Function to create a CocoDataset
/// \notes The generated dataset has multi-columns :
/// - task='Detection', column: [['image', dtype=uint8], ['bbox', dtype=float32], ['category_id', dtype=uint32],
/// ['iscrowd', dtype=uint32]].
/// - task='Stuff', column: [['image', dtype=uint8], ['segmentation',dtype=float32], ['iscrowd', dtype=uint32]].
/// - task='Keypoint', column: [['image', dtype=uint8], ['keypoints', dtype=float32],
/// ['num_keypoints', dtype=uint32]].
/// - task='Panoptic', column: [['image', dtype=uint8], ['bbox', dtype=float32], ['category_id', dtype=uint32],
/// ['iscrowd', dtype=uint32], ['area', dtype=uitn32]].
/// \param[in] dataset_dir Path to the root directory that contains the dataset
/// \param[in] annotation_file Path to the annotation json
/// \param[in] task Set the task type of reading coco data, now support 'Detection'/'Stuff'/'Panoptic'/'Keypoint'
/// \param[in] decode Decode the images after reading
/// \param[in] sampler Object used to choose samples from the dataset. If sampler is `nullptr`, A `RandomSampler`
/// will be used to randomly iterate the entire dataset
/// \return Shared pointer to the current Dataset
std::shared_ptr<CocoDataset> Coco(const std::string &dataset_dir, const std::string &annotation_file,
const std::string &task = "Detection", bool decode = false,
std::shared_ptr<SamplerObj> sampler = nullptr);
/// \brief Function to create an ImageFolderDataset
/// \notes A source dataset that reads images from a tree of directories
/// All images within one folder have the same label
/// The generated dataset has two columns ['image', 'label']
/// \param[in] dataset_dir Path to the root directory that contains the dataset
/// \param[in] decode A flag to decode in ImageFolder
/// \param[in] sampler Object used to choose samples from the dataset. If sampler is `nullptr`,
/// A `RandomSampler` will be used to randomly iterate the entire dataset
/// \param[in] extensions File extensions to be read
/// \param[in] class_indexing a class name to label map
/// \return Shared pointer to the current ImageFolderDataset
std::shared_ptr<ImageFolderDataset> ImageFolder(std::string dataset_dir, bool decode = false,
std::shared_ptr<SamplerObj> sampler = nullptr,
std::set<std::string> extensions = {},
std::map<std::string, int32_t> class_indexing = {});
/// \brief Function to create a MnistDataset
/// \notes The generated dataset has two columns ['image', 'label']
/// \param[in] dataset_dir Path to the root directory that contains the dataset
/// \param[in] sampler Object used to choose samples from the dataset. If sampler is `nullptr`,
/// A `RandomSampler` will be used to randomly iterate the entire dataset
/// \return Shared pointer to the current MnistDataset
std::shared_ptr<MnistDataset> Mnist(std::string dataset_dir, std::shared_ptr<SamplerObj> sampler = nullptr);
/// \brief Function to create a ConcatDataset
/// \notes Reload "+" operator to concat two datasets
/// \param[in] datasets1 Shared pointer to the first dataset to be concatenated
/// \param[in] datasets2 Shared pointer to the second dataset to be concatenated
/// \return Shared pointer to the current ConcatDataset
std::shared_ptr<ConcatDataset> operator+(const std::shared_ptr<Dataset> &datasets1,
const std::shared_ptr<Dataset> &datasets2);
/// \brief Function to create a VOCDataset
/// \notes The generated dataset has multi-columns :
/// - task='Detection', column: [['image', dtype=uint8], ['bbox', dtype=float32], ['label', dtype=uint32],
/// ['difficult', dtype=uint32], ['truncate', dtype=uint32]].
/// - task='Segmentation', column: [['image', dtype=uint8], ['target',dtype=uint8]].
/// \param[in] dataset_dir Path to the root directory that contains the dataset
/// \param[in] task Set the task type of reading voc data, now only support "Segmentation" or "Detection"
/// \param[in] mode Set the data list txt file to be readed
/// \param[in] class_indexing A str-to-int mapping from label name to index
/// \param[in] decode Decode the images after reading
/// \param[in] sampler Object used to choose samples from the dataset. If sampler is `nullptr`, A `RandomSampler`
/// will be used to randomly iterate the entire dataset
/// \return Shared pointer to the current Dataset
std::shared_ptr<VOCDataset> VOC(const std::string &dataset_dir, const std::string &task = "Segmentation",
const std::string &mode = "train",
const std::map<std::string, int32_t> &class_index = {}, bool decode = false,
std::shared_ptr<SamplerObj> sampler = nullptr);
/// \brief Function to create a ZipDataset
/// \notes Applies zip to the dataset
/// \param[in] datasets List of shared pointers to the datasets that we want to zip
/// \return Shared pointer to the current Dataset
std::shared_ptr<ZipDataset> Zip(const std::vector<std::shared_ptr<Dataset>> &datasets);
/// \class Dataset datasets.h
/// \brief A base class to represent a dataset in the data pipeline.
class Dataset : public std::enable_shared_from_this<Dataset> {
public:
friend class Iterator;
/// \brief Constructor
Dataset();
/// \brief Destructor
~Dataset() = default;
/// \brief Pure virtual function to convert a Dataset class into a runtime dataset object
/// \return The list of shared pointers to the newly created DatasetOps
virtual std::vector<std::shared_ptr<DatasetOp>> Build() = 0;
/// \brief Pure virtual function for derived class to implement parameters validation
/// \return bool True if all the params are valid
virtual bool ValidateParams() = 0;
/// \brief Setter function for runtime number of workers
/// \param[in] num_workers The number of threads in this operator
/// \return Shared pointer to the original object
std::shared_ptr<Dataset> SetNumWorkers(int32_t num_workers) {
num_workers_ = num_workers;
return shared_from_this();
}
/// \brief Function to create an Iterator over the Dataset pipeline
/// \return Shared pointer to the Iterator
std::shared_ptr<Iterator> CreateIterator();
/// \brief Function to create a BatchDataset
/// \notes Combines batch_size number of consecutive rows into batches
/// \param[in] batch_size Path to the root directory that contains the dataset
/// \param[in] drop_remainder Determines whether or not to drop the last possibly incomplete
/// batch. If true, and if there are less than batch_size rows
/// available to make the last batch, then those rows will
/// be dropped and not propagated to the next node
/// \return Shared pointer to the current BatchDataset
std::shared_ptr<BatchDataset> Batch(int32_t batch_size, bool drop_remainder = false);
/// \brief Function to create a ConcatDataset
/// \notes Concat the datasets in the input
/// \param[in] datasets List of shared pointers to the dataset that should be concatenated together
/// \return Shared pointer to the current ConcatDataset
std::shared_ptr<ConcatDataset> Concat(const std::vector<std::shared_ptr<Dataset>> &datasets);
/// \brief Function to create a MapDataset
/// \notes Applies each operation in operations to this dataset
/// \param[in] operations Vector of operations to be applied on the dataset. Operations are
/// applied in the order they appear in this list
/// \param[in] input_columns Vector of the names of the columns that will be passed to the first
/// operation as input. The size of this list must match the number of
/// input columns expected by the first operator. The default input_columns
/// is the first column
/// \param[in] output_columns Vector of names assigned to the columns outputted by the last operation
/// This parameter is mandatory if len(input_columns) != len(output_columns)
/// The size of this list must match the number of output columns of the
/// last operation. The default output_columns will have the same
/// name as the input columns, i.e., the columns will be replaced
/// \param[in] project_columns A list of column names to project
/// \return Shared pointer to the current MapDataset
std::shared_ptr<MapDataset> Map(std::vector<std::shared_ptr<TensorOperation>> operations,
std::vector<std::string> input_columns = {},
std::vector<std::string> output_columns = {},
const std::vector<std::string> &project_columns = {});
/// \brief Function to create a Project Dataset
/// \notes Applies project to the dataset
/// \param[in] columns The name of columns to project
/// \return Shared pointer to the current Dataset
std::shared_ptr<ProjectDataset> Project(const std::vector<std::string> &columns);
/// \brief Function to create a Rename Dataset
/// \notes Renames the columns in the input dataset
/// \param[in] input_columns List of the input columns to rename
/// \param[in] output_columns List of the output columns
/// \return Shared pointer to the current Dataset
std::shared_ptr<RenameDataset> Rename(const std::vector<std::string> &input_columns,
const std::vector<std::string> &output_columns);
/// \brief Function to create a RepeatDataset
/// \notes Repeats this dataset count times. Repeat indefinitely if count is -1
/// \param[in] count Number of times the dataset should be repeated
/// \return Shared pointer to the current Dataset
/// \note Repeat will return shared pointer to `Dataset` instead of `RepeatDataset`
/// due to a limitation in the current implementation
std::shared_ptr<Dataset> Repeat(int32_t count = -1);
/// \brief Function to create a Shuffle Dataset
/// \notes Randomly shuffles the rows of this dataset
/// \param[in] buffer_size The size of the buffer (must be larger than 1) for shuffling
/// \return Shared pointer to the current ShuffleDataset
std::shared_ptr<ShuffleDataset> Shuffle(int32_t shuffle_size);
/// \brief Function to create a SkipDataset
/// \notes Skips count elements in this dataset.
/// \param[in] count Number of elements the dataset to be skipped.
/// \return Shared pointer to the current SkipDataset
std::shared_ptr<SkipDataset> Skip(int32_t count);
/// \brief Function to create a TakeDataset
/// \notes Takes count elements in this dataset.
/// \param[in] count Number of elements the dataset to be taken.
/// \return Shared pointer to the current Dataset
std::shared_ptr<Dataset> Take(int32_t count = -1);
/// \brief Function to create a Zip Dataset
/// \notes Applies zip to the dataset
/// \param[in] datasets A list of shared pointers to the datasets that we want to zip
/// \return Shared pointer to the current Dataset
std::shared_ptr<ZipDataset> Zip(const std::vector<std::shared_ptr<Dataset>> &datasets);
protected:
std::vector<std::shared_ptr<Dataset>> children;
std::shared_ptr<Dataset> parent;
int32_t num_workers_;
int32_t rows_per_buffer_;
int32_t connector_que_size_;
};
/* ####################################### Derived Dataset classes ################################# */
class Cifar10Dataset : public Dataset {
public:
/// \brief Constructor
Cifar10Dataset(const std::string &dataset_dir, std::shared_ptr<SamplerObj> sampler);
/// \brief Destructor
~Cifar10Dataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return The list of shared pointers to the newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
std::string dataset_dir_;
std::shared_ptr<SamplerObj> sampler_;
};
class Cifar100Dataset : public Dataset {
public:
/// \brief Constructor
Cifar100Dataset(const std::string &dataset_dir, std::shared_ptr<SamplerObj> sampler);
/// \brief Destructor
~Cifar100Dataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return The list of shared pointers to the newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
std::string dataset_dir_;
std::shared_ptr<SamplerObj> sampler_;
};
class CocoDataset : public Dataset {
public:
/// \brief Constructor
CocoDataset(const std::string &dataset_dir, const std::string &annotation_file, const std::string &task, bool decode,
std::shared_ptr<SamplerObj> sampler);
/// \brief Destructor
~CocoDataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return shared pointer to the list of newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
std::string dataset_dir_;
std::string annotation_file_;
std::string task_;
bool decode_;
std::shared_ptr<SamplerObj> sampler_;
};
/// \class ImageFolderDataset
/// \brief A Dataset derived class to represent ImageFolder dataset
class ImageFolderDataset : public Dataset {
public:
/// \brief Constructor
ImageFolderDataset(std::string dataset_dir, bool decode, std::shared_ptr<SamplerObj> sampler, bool recursive,
std::set<std::string> extensions, std::map<std::string, int32_t> class_indexing);
/// \brief Destructor
~ImageFolderDataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return The list of shared pointers to the newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
std::string dataset_dir_;
bool decode_;
bool recursive_;
std::shared_ptr<SamplerObj> sampler_;
std::map<std::string, int32_t> class_indexing_;
std::set<std::string> exts_;
};
class MnistDataset : public Dataset {
public:
/// \brief Constructor
MnistDataset(std::string dataset_dir, std::shared_ptr<SamplerObj> sampler);
/// \brief Destructor
~MnistDataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return The list of shared pointers to the newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
std::string dataset_dir_;
std::shared_ptr<SamplerObj> sampler_;
};
class VOCDataset : public Dataset {
public:
/// \brief Constructor
VOCDataset(const std::string &dataset_dir, const std::string &task, const std::string &mode,
const std::map<std::string, int32_t> &class_index, bool decode, std::shared_ptr<SamplerObj> sampler);
/// \brief Destructor
~VOCDataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return shared pointer to the list of newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
std::string dataset_dir_;
std::string task_;
std::string mode_;
std::map<std::string, int32_t> class_index_;
bool decode_;
std::shared_ptr<SamplerObj> sampler_;
};
class BatchDataset : public Dataset {
public:
/// \brief Constructor
BatchDataset(int32_t batch_size, bool drop_remainder, bool pad, std::vector<std::string> cols_to_map,
std::map<std::string, std::pair<TensorShape, std::shared_ptr<Tensor>>> pad_map);
/// \brief Destructor
~BatchDataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return The list of shared pointers to the newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
int32_t batch_size_;
bool drop_remainder_;
bool pad_;
std::vector<std::string> cols_to_map_;
std::map<std::string, std::pair<TensorShape, std::shared_ptr<Tensor>>> pad_map_;
};
class ConcatDataset : public Dataset {
public:
/// \brief Constructor
explicit ConcatDataset(const std::vector<std::shared_ptr<Dataset>> &datasets);
/// \brief Destructor
~ConcatDataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return The list of shared pointers to the newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
std::vector<std::shared_ptr<Dataset>> datasets_;
};
class MapDataset : public Dataset {
public:
/// \brief Constructor
MapDataset(std::vector<std::shared_ptr<TensorOperation>> operations, std::vector<std::string> input_columns = {},
std::vector<std::string> output_columns = {}, const std::vector<std::string> &columns = {});
/// \brief Destructor
~MapDataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return The list of shared pointers to the newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
std::vector<std::shared_ptr<TensorOperation>> operations_;
std::vector<std::string> input_columns_;
std::vector<std::string> output_columns_;
std::vector<std::string> project_columns_;
};
class ProjectDataset : public Dataset {
public:
/// \brief Constructor
explicit ProjectDataset(const std::vector<std::string> &columns);
/// \brief Destructor
~ProjectDataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return The list of shared pointers to the newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
std::vector<std::string> columns_;
};
class RenameDataset : public Dataset {
public:
/// \brief Constructor
explicit RenameDataset(const std::vector<std::string> &input_columns, const std::vector<std::string> &output_columns);
/// \brief Destructor
~RenameDataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return The list of shared pointers to the newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
std::vector<std::string> input_columns_;
std::vector<std::string> output_columns_;
};
class RepeatDataset : public Dataset {
public:
/// \brief Constructor
explicit RepeatDataset(uint32_t count);
/// \brief Destructor
~RepeatDataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return The list of shared pointers to the newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
uint32_t repeat_count_;
};
class ShuffleDataset : public Dataset {
public:
ShuffleDataset(int32_t shuffle_size, bool reset_every_epoch);
~ShuffleDataset() = default;
std::vector<std::shared_ptr<DatasetOp>> Build() override;
bool ValidateParams() override;
private:
int32_t shuffle_size_;
uint32_t shuffle_seed_;
bool reset_every_epoch_;
};
class SkipDataset : public Dataset {
public:
/// \brief Constructor
explicit SkipDataset(int32_t count);
/// \brief Destructor
~SkipDataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return The list of shared pointers to the newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
int32_t skip_count_;
};
class TakeDataset : public Dataset {
public:
/// \brief Constructor
explicit TakeDataset(int32_t count);
/// \brief Destructor
~TakeDataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return shared pointer to the list of newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
int32_t take_count_;
};
class ZipDataset : public Dataset {
public:
/// \brief Constructor
explicit ZipDataset(const std::vector<std::shared_ptr<Dataset>> &datasets);
/// \brief Destructor
~ZipDataset() = default;
/// \brief a base class override function to create the required runtime dataset op objects for this class
/// \return The list of shared pointers to the newly created DatasetOps
std::vector<std::shared_ptr<DatasetOp>> Build() override;
/// \brief Parameters validation
/// \return bool true if all the params are valid
bool ValidateParams() override;
private:
std::vector<std::shared_ptr<Dataset>> datasets_;
};
} // namespace api
} // namespace dataset
} // namespace mindspore
#endif // MINDSPORE_CCSRC_MINDDATA_DATASET_INCLUDE_DATASETS_H_