torchsig.transforms.base_transforms.Transform

class torchsig.transforms.base_transforms.Transform(measure=None, **kwargs)

Bases: ABC, Seedable

Transform abstract class.

Methods

add_parent	Add parent Seedable object and set up RNGs accordingly
get_distribution
get_second_seed	Gets second seed, usually used to seed both torch and numpy generators with slightly different seeds
seed	Seed number generators with given seed.
setup_rngs	Initialize torch and numpy number generators, and update its children.
update	Update bookeeping for signals
update_from_parent	Update numpy and torch number generators with parent seed

__init__(measure=None, **kwargs)

Transform initialization as Seedable.

update(signal: Signal | DatasetSignal) → None

Update bookeeping for signals

Parameters:

signal (Signal | DatasetSignal) – signal to update metadata.

Raises:

NotImplementedError – Inherited classes must override this method.

__call__(signal: Signal | DatasetSignal) → Signal | DatasetSignal

Performs transforms

Parameters:

signal (Any) – Signal to be transformed.

Raises:

NotImplementedError – Inherited classes must override this method.

Returns:

Transformed Signal.

Return type:

Any

__str__() → str

Return str(self).

__repr__() → str

Transform string representation. Should be able to recreate class from this string.

Returns:

Transform representation.

Return type:

str

add_parent(parent) → None

Add parent Seedable object and set up RNGs accordingly

get_second_seed(seed: int) → int

Gets second seed, usually used to seed both torch and numpy generators with slightly different seeds

Parameters:

seed (int) – Seed to use.

Returns:

New seed.

Return type:

int

seed(seed: int) → None

Seed number generators with given seed.

Parameters:

seed (int) – Seed to use.

setup_rngs() → None

Initialize torch and numpy number generators, and update its children.

update_from_parent() → None

Update numpy and torch number generators with parent seed