Function mindspore::dataset::QMnist

• Defined in File datasets.h

Function Documentation

inline std::shared_ptr<QMnistDataset> mindspore::dataset::QMnist(const std::string &dataset_dir, const std::string &usage = "all", bool compat = true, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(), const std::shared_ptr<DatasetCache> &cache = nullptr)

Function to create a QMnistDataset.

Note

The generated dataset has two columns [“image”, “label”].

Parameters

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

• usage – [in] Usage of QMNIST, can be “train”, “test”, “test10k”, “test50k”, “nist” or “all” (default = “all”).

• compat – [in] Whether the label for each example is class number or the full QMNIST information (default = true).

• 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).

Returns

Shared pointer to the QMnistDataset.

Example

/* Define dataset path and MindData object */
std::string folder_path = "/path/to/qmnist_dataset_directory";
std::shared_ptr<Dataset> ds = QMnist(folder_path, "train", true, std::make_shared<RandomSampler>(false, 5));

/* Create iterator to read dataset */
std::shared_ptr<Iterator> iter = ds->CreateIterator();
std::unordered_map<std::string, mindspore::MSTensor> row;
iter->GetNextRow(&row);

/* Note: In QMNIST dataset, each dictionary has keys "image" and "label" */
auto image = row["image"];