mindspore.nn.GetNextSingleOp

class mindspore.nn.GetNextSingleOp(dataset_types, dataset_shapes, queue_name)[source]

Cell to run for getting the next operation.

For detailed information, refer to mindspore.ops.GetNext.

Parameters

dataset_types (list[mindspore.dtype]) – The types of dataset.
dataset_shapes (list[tuple[int]]) – The shapes of dataset.
queue_name (str) – Queue name to fetch the data.

Outputs:: tuple[Tensor], the data get from Dataset.
Supported Platforms:: Ascend GPU

Examples

>>> import mindspore
>>> from mindspore import ops, nn
>>> from mindspore import dataset as ds
>>> from mindspore.common import dtype as mstype
>>>
>>> data_path =  "/path/to/MNIST_Data/train/"
>>> train_dataset = ds.MnistDataset(data_path, num_samples=10)
>>> dataset_helper = mindspore.DatasetHelper(train_dataset, dataset_sink_mode=True)
>>> dataset = dataset_helper.iter.dataset
>>> dataset_types, dataset_shapes = dataset_helper.types_shapes()
>>> queue_name = dataset.__transfer_dataset__.queue_name
>>> get_next_single_op_net = nn.GetNextSingleOp(dataset_types, dataset_shapes, queue_name)
>>> data, label = get_next_single_op_net()
>>> relu = ops.ReLU()
>>> result = relu(data.astype(mstype.float32))
>>> print(result.shape)
(28, 28, 1)