RecursiveLambda

class hybrid_learning.datasets.transforms.image_transforms.RecursiveLambda(fun)

Bases: ImageTransform

Generic lambda transformation that applies the given function with the standard ImageTransform recursion. The same caveats hold as for Lambda.

Public Data Attributes:

settings

Settings to reproduce the instance.

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(img)

Application of the lambda.

Inherited from : py: class:ImageTransform

apply_to(img)

Application of the lambda.

Inherited from : py: class:Transform

apply_to(img)

Application of the lambda.

Special Methods:

__repr__()	Return repr(self).
__init__(fun)	Init.

Inherited from : py: class:ImageTransform

__call__(img)

Application of transformation.

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__(img)	Application of transformation.

---

Parameters

fun (Callable[[Tensor], Tensor]) –

__init__(fun)

Init.

Parameters

fun (Callable[[Tensor], Tensor]) – the function to apply on call

__repr__()

Return repr(self).

Return type

str

apply_to(img)

Application of the lambda.

Parameters

img (Tensor) –

Return type

Tensor

fun: Callable[[Tensor], Tensor]

The function to apply on call.

property settings: Dict[str, Any]

Settings to reproduce the instance.