Class KMnistDataset

Inheritance Relationships

Base Type

Class Documentation

class KMnistDataset : public mindspore::dataset::Dataset

A source dataset for reading and parsing KMnist dataset.

Public Functions

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

Function to create a KMnistDataset.

Parameters

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

  • usage – [in] of KMNIST, 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.

Returns

Shared pointer to the current KMnistDataset.

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

Function to create a KMnistDataset.

Parameters

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

  • usage – [in] of Kmnist, 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.

Returns

Shared pointer to the current KMnistDataset.

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

Function to create a KMnistDataset.

Parameters

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

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

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

  • cache – [in] Tensor cache to use.

Returns

Shared pointer to the current KMnistDataset.

~KMnistDataset() override = default

Destructor of KMnistDataset.