code: def clip_by_value(x, tensor_min, tensor_max):
      """
      Tensor extenstion to torch.clamp
      https://github.com/pytorch/pytorch/issues/2793#issuecomment-428784713
      """
      clipped = torch.max(torch.min(x, tensor_max), tensor_min)
      return clipped
  
imports: import math
  import time
  import warnings
  from collections.abc import Mapping
  from typing import Any, Dict, List, Optional, Union
  import numpy
  import torch
  import torch.nn.functional
  from datasets import Dataset
  from huggingface_hub import PyTorchModelHubMixin
  from torch.cuda.amp import autocast
  from torch.nn.utils.rnn import pad_sequence
  from torch.utils.data import DataLoader
  from transformers import DataCollatorForLanguageModeling, PreTrainedTokenizer, PreTrainedTokenizerFast
  from llm_studio.src.utils.modeling_utils import unwrap_model
label_desc: Use image node_id 7 for calling a global function with example usage: clip_by_value(x, tensor_min, tensor_max) and returns: clipped