code: def round_up(x: torch.Tensor, value: int):
      return (
          torch.div(x + (value - 1), value, rounding_mode="trunc")
          * value
      )
  
imports: import torch
  import torch.distributed
  import numpy
  from torch import nn
  from transformers.activations import ACT2FN
  from transformers.configuration_utils import PretrainedConfig
  from typing import Optional, List, Tuple
  from loguru import logger
  from text_generation_server.utils import paged_attention, flash_attn
  from text_generation_server.utils.layers import FastLinear, FastRMSNorm, TensorParallelRowLinear, TensorParallelColumnLinear, TensorParallelEmbedding, PositionRotaryEmbedding, TensorParallelHead, get_linear
label_desc: Use image node_id 6 for calling a global function with example usage: round_up(x, value) and returns: unknown