next_minibatch: Next Minibatch
In Microsoft/CNTK-R: R Interface to the Microsoft Cognitive Toolkit (CNTK)

Description Usage Arguments Value

Reads a minibatch that contains data for all input streams. The minibatch size is specified in terms of #samples and/or #sequences for the primary input stream; value of 0 for #samples/#sequences means unspecified. In case the size is specified in terms of both #sequences and #samples, the smaller of the 2 is taken. An empty map is returned when the MinibatchSource has no more data to return.

1 2	next_minibatch(minibatch_source, minibatch_size_in_samples, input_map = NULL, device = NULL, num_data_partitions = NULL, partition_index = NULL)

`minibatch_source`	(MinibatchSource or MinibatchSourceFromData) source for minibatch
`minibatch_size_in_samples`	number of samples to retrieve for the next minibatch. Must be > 0.
`input_map`	mapping of Variable to StreamInformation which will be used to convert the returned data.
`device`	- instance of DeviceDescriptor
`num_data_partitions`	Used for distributed training, indicates into how many partitions the source should split the data.
`partition_index`	Used for distributed training, indicates data from which partition to take.

(MinibatchData) mapping of StreamInformation to MinibatchData if input_map was not specified. Otherwise, the returned value will be a mapping of Variable to class:MinibatchData. When the maximum number of epochs/samples is exhausted, the return value is an empty dict.

Microsoft/CNTK-R documentation built on May 28, 2019, 1:52 p.m.