mxnet.io.DataIter¶

class mxnet.io.DataIter(batch_size=0)[source]¶

The base class for an MXNet data iterator.

All I/O in MXNet is handled by specializations of this class. Data iterators in MXNet are similar to standard-iterators in Python. On each call to next they return a DataBatch which represents the next batch of data. When there is no more data to return, it raises a StopIteration exception.

Parameters: batch_size (int, optional) – The batch size, namely the number of items in the batch.

See also

NDArrayIter: Data-iterator for MXNet NDArray or numpy-ndarray objects.
CSVIter: Data-iterator for csv data.
LibSVMIter: Data-iterator for libsvm data.
ImageIter: Data-iterator for images.

__init__(batch_size=0)[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`([batch_size])	Initialize self.
`getdata`()	Get data of current batch.
`getindex`()	Get index of the current batch.
`getlabel`()	Get label of the current batch.
`getpad`()	Get the number of padding examples in the current batch.
`iter_next`()	Move to the next batch.
`next`()	Get next data batch from iterator.
`reset`()	Reset the iterator to the begin of the data.