class_docstr: Convolutional decoder
class_docstr_tok: ["Convolutional","decoder"]
code: def make_generation_fast_(self, need_attn=False, **kwargs):
      self.need_attn = need_attn
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from fairseq import utils
  from fairseq.models import FairseqEncoder, FairseqEncoderDecoderModel, FairseqIncrementalDecoder, register_model, register_model_architecture
  from fairseq.modules import AdaptiveSoftmax, BeamableMM, FairseqDropout, GradMultiply, LearnedPositionalEmbedding, LinearizedConvolution
label_desc: Use image node_id 6 for calling the FConvDecoder obj's underlying member method code with example usage: obj.make_generation_fast_(need_attn) without return types