Get mixup random coefficients. Args: batch_size: int Returns: mixup_lambdas: (batch_size,)

This matches the implementation in Denoising Diffusion Probabilistic Models: From Fairseq. Build sinusoidal embeddings. This matches

imgs: list, N images of size WxHxC

Inference duration. Args: xs (Tensor): Batch of input sequences (B, Tmax, idim). x_masks (ByteTensor, optional): Batch

Computes the embeddings of a batch of utterance spectrograms. :param utterances: batch of mel-scale filterbanks of same duration as

Initialize a Linear or Convolutional layer.

Returns the names of available CLIP models

return all models having the specified pretrain tag

r"""Loads audio file and returns raw audio.

r"""Loads audio file and returns raw audio.

Load checkpoint from a file or URI. Args: model (Module): Module to load checkpoint. filename (str): Accept local filepath, U

r"""Load CLAP model with args from config file