code: def __call__(
      self,
      input_ids: Tensor,
      attention_mask: Tensor,
      token_type_ids: Tensor,
  ):
      sequence_output = self.bert(
          input_ids, attention_mask, token_type_ids
      )
      logits = self.qa_outputs(sequence_output)
      start_logits, end_logits = logits.chunk(2, dim=-1)
      start_logits = start_logits.reshape(-1, 1)
      end_logits = end_logits.reshape(-1, 1)
  
      return Tensor.stack([start_logits, end_logits])
  
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 3 for calling the BertForQuestionAnswering obj's underlying member method code with example usage: obj.__call__(input_ids, attention_mask, token_type_ids) and returns: Tensor