paddlespeech.kws.models.loss module

paddlespeech.kws.models.loss.fill_mask_elements(condition: Tensor, value: float, x: Tensor) → Tensor[source]
paddlespeech.kws.models.loss.max_pooling_loss(logits: Tensor, target: Tensor, lengths: Tensor, min_duration: int = 0)[source]
paddlespeech.kws.models.loss.padding_mask(lengths: Tensor) → Tensor[source]