Function mindspore::dataset::Cifar100

• Defined in File datasets.h

Function Documentation

inline std::shared_ptr<Cifar100Dataset> mindspore::dataset::Cifar100(const std::string &dataset_dir, const std::string &usage = "all", const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(), const std::shared_ptr<DatasetCache> &cache = nullptr)

Function to create a Cifar100 Dataset.

Note

The generated dataset has three columns [“image”, “coarse_label”, “fine_label”].

Parameters

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

• usage – [in] Part of dataset of CIFAR100, 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).

Returns

Shared pointer to the Cifar100Dataset.

Example

/* Define dataset path and MindData object */
std::string folder_path = "/path/to/cifar100_dataset_directory";
std::shared_ptr<Dataset> ds = Cifar100(folder_path, "all", std::make_shared<RandomSampler>());

/* 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 CIFAR100 dataset, each dictionary has 3 keys: "image", "fine_label" and "coarse_label" */
auto image = row["image"];