class_docstr: A wrapper class for SimpleGPT, providing integration with the lm-evaluation-harness library.
class_docstr_tok: ["A","wrapper","class","for","SimpleGPT",",","providing","integration","with","the","lm-evaluation-harness","library","."]
code: def _model_call(self, inps):
      # TODO: make batches work
      inps = inps.squeeze(0)
  
      max_new_tokens = 1
      (
          seq,
          input_pos,
          max_seq_length,
      ) = setup_cache_padded_seq_input_pos_max_seq_length_for_prefill(
          self._model,
          inps,
          max_new_tokens,
          self.max_length,
      )
      x = seq.index_select(0, input_pos).view(1, -1)
      logits = model_forward(self._model, x, input_pos)
      return logits
  
imports: import sys
  import time
  from pathlib import Path
  from typing import Optional
  import torch
  import torch._dynamo.config
  import torch._inductor.config
  import os
  import sys
  from sentencepiece import SentencePieceProcessor
  from model import LLaMA
  import lm_eval
  import main
  from generate import _load_model, encode_tokens, model_forward
label_desc: Use image node_id 9 for calling the SimpleGPTEvalWrapper obj's underlying member method code with example usage: obj._model_call(inps) and returns: logits