code: def __call__(self, hidden_states, attention_mask):
      attention_output = self.attention(hidden_states, attention_mask)
      intermediate_output = self.intermediate(attention_output)
      layer_output = self.output(intermediate_output, attention_output)
      return layer_output
  
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 BertLayer obj's underlying member method code with example usage: obj.__call__(hidden_states, attention_mask) and returns: layer_output