code: def __init__(self, input_size, hidden_size, num_embeddings):
      super(AttentionCell, self).__init__()
      self.i2h = nn.Linear(input_size, hidden_size, bias=False)
      self.h2h = nn.Linear(
          hidden_size, hidden_size
      )  # either i2i or h2h should have bias
      self.score = nn.Linear(hidden_size, 1, bias=False)
      self.rnn = nn.LSTMCell(input_size + num_embeddings, hidden_size)
      self.hidden_size = hidden_size
  
file_path: EasyOCR/trainer/modules/prediction.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new AttentionCell object from inherited base classes: nn with example: obj = AttentionCell(input_size, hidden_size, num_embeddings)