code: def __call__(self, hidden_states, input_tensor):
      hidden_states = self.dense(hidden_states)
      hidden_states = hidden_states.dropout(self.dropout)
      hidden_states = self.LayerNorm(hidden_states + input_tensor)
      return hidden_states
  
imports: from tinygrad.tensor import Tensor
  from tinygrad.nn import Linear, LayerNorm, Embedding
  from tinygrad.helpers import fetch, get_child
  from pathlib import Path
label_desc: Use image node_id 2 for calling the BertSelfOutput obj's underlying member method code with example usage: obj.__call__(hidden_states, input_tensor) and returns: hidden_states