ls_mlkit.diffusion.conditioner.utils module

ls_mlkit.diffusion.conditioner.utils.get_accumulated_conditional_score(conditioner_list: list[Conditioner], x_t: Tensor, t: Tensor, padding_mask: Tensor, *args: Any, **kwargs: Any) → Tensor[source]

Get the accumulated conditional score

Parameters:

  • x_t (Tensor) – \(x_t\)

  • t (Tensor) – \(t\)

  • padding_mask (Tensor) – the padding mask

Returns:

the accumulated conditional score

Return type:

Tensor