Class MnistDataset

Inheritance Relationships

Base Type

Class Documentation

class MnistDataset : public mindspore::dataset::Dataset

Public Functions

MnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache)

Constructor of MnistDataset.

Parameters

  • dataset_dir – [in] Path to the root directory that contains the dataset.

  • usage – [in] Part of dataset of MNIST, can be “train”, “test” or “all” (default = “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 (default = RandomSampler()).

  • cache – [in] Tensor cache to use (default=nullptr which means no cache is used).

MnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache)

Constructor of MnistDataset.

Parameters

  • dataset_dir – [in] Path to the root directory that contains the dataset.

  • usage – [in] Part of dataset of MNIST, 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 (default=nullptr which means no cache is used).

MnistDataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache)

Constructor of MnistDataset.

Parameters

  • dataset_dir – [in] Path to the root directory that contains the dataset.

  • usage – [in] Part of dataset of MNIST, can be “train”, “test” or “all”.

  • sampler – [in] Sampler object used to choose samples from the dataset.

  • cache – [in] Tensor cache to use (default=nullptr which means no cache is used).

~MnistDataset() override = default

Destructor of MnistDataset.