class_docstr: Compute non-attention layer.
  
  This layer is a dummy attention layer to be compatible with other
  attention-based models.
class_docstr_tok: ["Compute","non-attention","layer",".","This","layer","is","a","dummy","attention","layer","to","be","compatible","with","other","attention-based","models","."]
code: def __init__(self):
      super(NoAtt, self).__init__()
      self.h_length = None
      self.enc_h = None
      self.pre_compute_enc_h = None
      self.c = None
  
file_path: espnet/espnet/nets/chainer_backend/rnn/attentions.py
imports: import chainer
  import chainer.functions
  import chainer.links
  import numpy
label_desc: Use image node_id 1 to create a new NoAtt object from inherited base classes: chainer with example: obj = NoAtt()