code: def prepare_inputs_for_generation(
      self,
      input_ids,
      attention_mask,
      inputs_embeds=None,
      past_key_values=None,
      **kwargs,
  ):
      # only last tokens for inputs_ids if past is defined in kwargs
      if past_key_values is not None:
          past_length = past_key_values[0][0].shape[2]
  
          # Some generation methods already pass only the last input ID
          if input_ids.shape[1] > past_length:
              remove_prefix_length = past_length
          else:
              # Default to old behavior: keep only final ID
              remove_prefix_length = input_ids.shape[1] - 1
  
          input_ids = input_ids[:, remove_prefix_length:]
  
      if inputs_embeds is not None and past_key_values is None:
          model_inputs = {"inputs_embeds": inputs_embeds}
      else:
          model_inputs = {"input_ids": input_ids}
  
      model_inputs.update(
          {
              "attention_mask": attention_mask,
              "past_key_values": past_key_values,
              "use_cache": kwargs.get("use_cache"),
          }
      )
  
      return model_inputs
  
imports: import math
  from typing import Optional, Tuple, Union
  import torch
  import torch.utils.checkpoint
  from torch import nn
  from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
  from ...activations import ACT2FN
  from ...modeling_attn_mask_utils import _prepare_4d_causal_attention_mask
  from ...modeling_outputs import BaseModelOutputWithPastAndCrossAttentions, CausalLMOutputWithCrossAttentions, SequenceClassifierOutputWithPast, TokenClassifierOutput
  from ...modeling_utils import PreTrainedModel
  from ...utils import add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward, logging
  from .configuration_biogpt import BioGptConfig
label_desc: Use image node_id 5 for calling the BioGptForCausalLM obj's underlying member method code with example usage: obj.prepare_inputs_for_generation(input_ids, attention_mask, inputs_embeds, past_key_values) and returns: model_inputs