code: def __call__(self, hidden_states, attention_mask):
      for layer in self.layer:
          hidden_states = layer(hidden_states, attention_mask)
      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 BertEncoder obj's underlying member method code with example usage: obj.__call__(hidden_states, attention_mask) and returns: hidden_states