code: def __call__(self, hidden_states):
      x = self.dense(hidden_states)
      # tinygrad gelu is openai gelu but we need the original bert gelu
      return x * 0.5 * (1.0 + erf(x / 1.41421))
  
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 BertIntermediate obj's underlying member method code with example usage: obj.__call__(hidden_states) and returns: unknown