espnet2.asr.encoder.wav2vec2_encoder.FairSeqWav2Vec2Encoder

source

class espnet2.asr.encoder.wav2vec2_encoder.FairSeqWav2Vec2Encoder(input_size: int, w2v_url: str, w2v_dir_path: str = './', output_size: int = 256, normalize_before: bool = False, freeze_finetune_updates: int = 0)

Bases: AbsEncoder

FairSeq Wav2Vec2 encoder module.

• Parameters:
  • input_size – input dim
  • output_size – dimension of attention
  • w2v_url – url to Wav2Vec2.0 pretrained model
  • w2v_dir_path – directory to download the Wav2Vec2.0 pretrained model.
  • normalize_before – whether to use layer_norm before the first block
  • finetune_last_n_layers – last n layers to be finetuned in Wav2Vec2.0 0 means to finetune every layer if freeze_w2v=False.

Initialize internal Module state, shared by both nn.Module and ScriptModule.

forward(xs_pad: Tensor, ilens: Tensor, prev_states: Tensor = None) → Tuple[Tensor, Tensor, Tensor | None]

Forward FairSeqWav2Vec2 Encoder.

• Parameters:
  • xs_pad – input tensor (B, L, D)
  • ilens – input length (B)
  • prev_states – Not to be used now.
• Returns: position embedded tensor and mask

output_size() → int

reload_pretrained_parameters()