UnfoldTuple

class hybrid_learning.datasets.transforms.tuple_transforms.UnfoldTuple[source]

Bases: Transform

Convenience trafo that takes an iterable and returns it as tuple. Needed e.g. when unravelling a nested tuple for a composition of TupleTransforms:

>>> from hybrid_learning.datasets.transforms import UnfoldTuple, ToTensor
>>> c = UnfoldTuple() + OnTarget(UnfoldTuple() + OnTarget(ToTensor()))
>>> nested_tuple = ('desc', ('inp', 1))
>>> nested_tuple
('desc', ('inp', 1))
>>> c(nested_tuple)
('desc', ('inp', tensor(1)))

Public Data Attributes:

Inherited from : py: class:Transform

`IDENTITY_CLASS`	The identity class or classes for composition / addition.
`settings`	Settings to reproduce the instance.

Public Methods:

apply_to(tup)

Return the given iterable as tuple.

Inherited from : py: class:Transform

apply_to(tup)

Return the given iterable as tuple.

Special Methods:

Inherited from : py: class:Transform

`__repr__`()	Return repr(self).
`__eq__`(other)	Return self==value.
`__copy__`()	Return a shallow copy of self using settings.
`__add__`(other)	Return a flat composition of `self` with `other`.
`__radd__`(other)	Return a flat composition of `other` and `self`.
`__call__`(*inps)	General call to the transformation.

apply_to(tup)[source]

Return the given iterable as tuple.

Parameters: tup (Iterable) –
Return type: Tuple