class_docstr: Weights & Biases logger.
  
  Args:
      dir: Directory for saving the logs.
class_docstr_tok: ["Weights","&","Biases","logger",".","Args",":","dir",":","Directory","for","saving","the","logs","."]
docstr: Log key/value pairs to Weights & Biases.
  
  Args:
      kvs: Dictionary of key/value pairs.
docstr_tok: ["Log","key\/value","pairs","to","Weights","&","Biases",".","Args",":","kvs",":","Dictionary","of","key\/value","pairs","."]
code: def writekvs(self, kvs: dict):
      """
      Log key/value pairs to Weights & Biases.
  
      Args:
          kvs: Dictionary of key/value pairs.
      """
      kvs = {k.replace("_", "/"): v for k, v in kvs.items()}
      if self.run:
          self.run.log(kvs)
      else:
          raise RuntimeError(" Weights&Biases run not available.")
  
imports: import copy
  import hashlib
  from pathlib import Path
  from typing import List, Set, Union
  import numpy
  import plotly.graph_objs
  import torch
  import torch.distributed
  import wandb
  from hydra.core.hydra_config import HydraConfig
  from hydra.utils import instantiate, to_absolute_path
  from improved_diffusion import dist_util
  from improved_diffusion import gaussian_diffusion
  from improved_diffusion import logger, respace, train_util
  from omegaconf import DictConfig, OmegaConf
label_desc: Use image node_id 2 for calling the WandbOutputFormat obj's underlying member method code with example usage: obj.writekvs(kvs) without return types