Class EMnistDataset

Inheritance Relationships

Base Type

Class Documentation

class EMnistDataset : public mindspore::dataset::Dataset

A source dataset for reading and parsing EMnist dataset.

Public Functions

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.

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.

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.

~EMnistDataset() override = default

Destructor of EMnistDataset.