code: def setup_cache_padded_seq_input_pos_max_seq_length_for_prefill(
      model: LLaMA,
      prompt: torch.Tensor,
      max_new_tokens: int,
      max_seq_length: Optional[int] = None,
  ):
      """
      Sets up model cache and does some bookkeeping calculations for prompt, input_pos and max_seq_length
      that are needed for prefill or model_forward
  
      Args:
          model (LLaMA): The model whose cache gets set up
          prompt (torch.Tensor): Tensor of shape (T) with indices of the prompt sequence.
          max_new_tokens (int): The desired maximum number of new tokens that can be generated.
          max_seq_length (Optional[int], optional): The maximum sequence length allowed.
  
      Returns:
          seq (torch.Tensor): prompt but padded with zeros to size max_seq_length
          input_pos (torch.Tensor): tensor of integers in increasing order
          max_seq_length (int): The maximum sequence length allowed, updated based on other numbers
      """
      T = prompt.size(0)
      T_new = T + max_new_tokens
      if max_seq_length is None:
          max_seq_length = min(T_new, model.config.block_size)
  
      device, dtype = prompt.device, prompt.dtype
      # create an empty tensor of the expected final shape and fill in the current tokens
      empty = torch.empty(T_new, dtype=dtype, device=device)
      empty[:T] = prompt
      seq = empty
      input_pos = torch.arange(0, T, device=device)
  
      with torch.device(device):
          model.setup_caches(
              max_batch_size=1, max_seq_length=max_seq_length
          )
  
      return seq, input_pos, max_seq_length
  
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 1 for calling a global function with example usage: setup_cache_padded_seq_input_pos_max_seq_length_for_prefill(model, prompt, max_new_tokens, max_seq_length) and returns: seq,  input_pos,  max_seq_length