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","."]
docstr: Reset states.
docstr_tok: ["Reset","states","."]
code: def reset(self):
      """Reset states."""
      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 2 for calling the NoAtt obj's underlying member method code with example usage: obj.reset() without return types