code: def _pad_to_alignment(x: List[int], multiple_of: int) -> List[int]:
      return x + [0] * ((-len(x)) % multiple_of)
  
imports: import os
  from typing import Dict, List, Tuple, Optional
  import torch
  import torch.distributed
  import warnings
  import numpy
  import random
  from bigdl.llm.vllm.config import ModelConfig, SchedulerConfig
  from bigdl.llm.vllm.model_executor.model_loader import get_model
  from bigdl.llm.vllm.model_executor.input_metadata import InputMetadata
  from bigdl.llm.vllm.sampling_params import SamplingParams
  from bigdl.llm.vllm.sequence import SequenceData, SamplerOutput, SequenceGroupMetadata
  from bigdl.llm.utils.common import invalidInputError
  from bigdl.llm.vllm.model_executor.utils import set_random_seed
label_desc: Use image node_id 1 for calling a global function with example usage: _pad_to_alignment(x, multiple_of) and returns: unknown