code: def __init__(self, input_size, hidden_size):
      super().__init__()
      self.input_size = input_size
      self.hidden_size = hidden_size
      self.weight_ih = Parameter(
          torch.randn(4 * hidden_size, input_size)
      )
      self.weight_hh = Parameter(
          torch.randn(4 * hidden_size, hidden_size)
      )
      self.bias_ih = Parameter(torch.randn(4 * hidden_size))
      self.bias_hh = Parameter(torch.randn(4 * hidden_size))
  
imports: import numbers
  import warnings
  from collections import namedtuple
  from typing import List, Tuple
  import torch
  import torch.jit
  import torch.nn
  from torch import Tensor
  from torch.nn import Parameter
label_desc: Use image node_id 1 to create a new LSTMCell object from inherited base classes: jit with example: obj = LSTMCell(input_size, hidden_size)