class_docstr: Adaptive KL controller described in the paper:
  https://arxiv.org/pdf/1909.08593.pdf
class_docstr_tok: ["Adaptive","KL","controller","described","in","the","paper",":","https",":","\/\/arxiv.org\/pdf\/1909.08593.pdf"]
code: def __init__(self, cfg):
      self.cfg = cfg
      self.value = self.cfg.training.initial_kl_coefficient
      self.target = self.cfg.training.kl_target
      self.horizon = self.cfg.training.kl_horizon
  
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 1 to create a new AdaptiveKLController object  with example: obj = AdaptiveKLController(cfg)