ToFixedDims

class hybrid_learning.datasets.transforms.image_transforms.ToFixedDims(dims)

Bases: ImageTransform

Squeeze or unsqueeze a tensor to obtain specified number of dimensions.

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(img)

Squeezing or unsqueezing.

Inherited from : py: class:ImageTransform

apply_to(img)

Squeezing or unsqueezing.

Inherited from : py: class:Transform

apply_to(img)

Squeezing or unsqueezing.

Special Methods:

__init__(dims)

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.

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Parameters

dims (int) –

__init__(dims)

Parameters

dims (int) –

apply_to(img)

Squeezing or unsqueezing.

Parameters

img (Tensor) –

Return type

Tensor