neon.data.dataiterator.NervanaDataIterator

class neon.data.dataiterator.NervanaDataIterator(name=None)[source]

Bases: neon.NervanaObject

Abstract class for data iterators.

For serialization, any data iterator should inherit from this class

__init__(name=None)[source]

Methods

__init__([name])
gen_class(pdict)
get_description([skip]) Returns a dict that contains all necessary information needed to serialize this object.
nbatches() Return the number of minibatches in this dataset.
recursive_gen(pdict, key) helper method to check whether the definition
reset() Reset the starting index of this dataset back to zero.
be = None
classnm

Returns the class name.

gen_class(pdict)
get_description(skip=[], **kwargs)

Returns a dict that contains all necessary information needed to serialize this object.

Parameters:skip (list) – Objects to omit from the dictionary.
Returns:Dictionary format for object information.
Return type:(dict)
modulenm

Returns the full module path.

nbatches()[source]

Return the number of minibatches in this dataset.

recursive_gen(pdict, key)

helper method to check whether the definition dictionary is defining a NervanaObject child, if so it will instantiate that object and replace the dictionary element with an instance of that object

reset()[source]

Reset the starting index of this dataset back to zero.