Class EMnistDataset
Defined in File datasets.h
Inheritance Relationships
Base Type
public mindspore::dataset::Dataset
(Class Dataset)
Class Documentation
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class EMnistDataset : public mindspore::dataset::Dataset
A source dataset for reading and parsing EMnist dataset.
Public Functions
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EMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &name, const std::vector<char> &usage, const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache)
Constructor of EMnistDataset.
- Parameters
dataset_dir – [in] Path to the root directory that contains the dataset.
name – [in] Name of splits for EMNIST, can be “byclass”, “bymerge”, “balanced”, “letters”, “digits” or “mnist”.
usage – [in] Part of dataset of EMNIST, can be “train”, “test” or “all”.
sampler – [in] Shared pointer to a sampler object used to choose samples from the dataset. If sampler is not given, a
RandomSampler
will be used to randomly iterate the entire dataset.cache – [in] Tensor cache to use.
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EMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &name, const std::vector<char> &usage, const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache)
Constructor of EMnistDataset.
- Parameters
dataset_dir – [in] Path to the root directory that contains the dataset.
name – [in] Name of splits for EMNIST, can be “byclass”, “bymerge”, “balanced”, “letters”, “digits” or “mnist”.
usage – [in] Part of dataset of EMNIST, can be “train”, “test” or “all”.
sampler – [in] Raw pointer to a sampler object used to choose samples from the dataset.
cache – [in] Tensor cache to use.
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EMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &name, const std::vector<char> &usage, const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache)
Constructor of EMnistDataset.
- Parameters
dataset_dir – [in] Path to the root directory that contains the dataset.
name – [in] Name of splits for EMNIST, can be “byclass”, “bymerge”, “balanced”, “letters”, “digits” or “mnist”.
usage – [in] Part of dataset of EMNIST, can be “train”, “test” or “all”.
sampler – [in] Sampler object used to choose samples from the dataset.
cache – [in] Tensor cache to use.
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~EMnistDataset() override = default
Destructor of EMnistDataset.
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EMnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &name, const std::vector<char> &usage, const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache)