tempor.models.clairvoyance2.utils.tensor_like module¶

class tempor.models.clairvoyance2.utils.tensor_like.FunctionMap(np_func, torch_func)[source]¶

Bases: tuple

Create new instance of FunctionMap(np_func, torch_func)

np_func : Callable¶

Alias for field number 0

torch_func : Callable¶

Alias for field number 1

tempor.models.clairvoyance2.utils.tensor_like.all(a: TTensorLike | bool | bool_, **kwargs) → TTensorLike | bool[source]¶

tempor.models.clairvoyance2.utils.tensor_like.any(a: TTensorLike | bool | bool_, **kwargs) → TTensorLike | bool[source]¶

tempor.models.clairvoyance2.utils.tensor_like.isnan(a: TTensorLike) → TTensorLike[source]¶

tempor.models.clairvoyance2.utils.tensor_like.eq_indicator(a: TTensorLike, indicator: float) → TTensorLike[source]¶

tempor.models.clairvoyance2.utils.tensor_like.concatenate(tensors: Sequence[TTensorLike], **kwargs) → TTensorLike[source]¶

tempor.models.clairvoyance2.utils.tensor_like.zeros_like(a: TTensorLike, **kwargs) → TTensorLike[source]¶

tempor.models.clairvoyance2.utils.tensor_like.diff(a: TTensorLike, **kwargs) → TTensorLike[source]¶