class_docstr: mLSTMRNNCell
code: def new_like(self, new_input_size=None):
      if new_input_size is None:
          new_input_size = self.input_size
  
      return type(self)(
          new_input_size, self.hidden_size, self.bias, self.output_size
      )
  
file_path: apex/apex/RNN/cells.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from .RNNBackend import RNNCell
  from torch.nn._functions.thnn import rnnFusedPointwise
  import math
label_desc: Use image node_id 3 for calling the mLSTMRNNCell obj's underlying member method code with example usage: obj.new_like(new_input_size) and returns: type