code: def tensorboard_trace_handler(
      dir_name: str,
      worker_name: Optional[str] = None,
      use_gzip: bool = False,
  ):
      """
      Outputs tracing files to directory of ``dir_name``, then that directory can be
      directly delivered to tensorboard as logdir.
      ``worker_name`` should be unique for each worker in distributed scenario,
      it will be set to '[hostname]_[pid]' by default.
      """
      import os
      import socket
      import time
  
      def handler_fn(prof) -> None:
          nonlocal worker_name
          if not os.path.isdir(dir_name):
              try:
                  os.makedirs(dir_name, exist_ok=True)
              except Exception as e:
                  raise RuntimeError(
                      "Can't create directory: " + dir_name
                  ) from e
          if not worker_name:
              worker_name = f"{socket.gethostname()}_{os.getpid()}"
          # Use nanosecond here to avoid naming clash when exporting the trace
          file_name = f"{worker_name}.{time.time_ns()}.pt.trace.json"
          if use_gzip:
              file_name = file_name + ".gz"
          prof.export_chrome_trace(os.path.join(dir_name, file_name))
  
      return handler_fn
  
imports: import gzip
  import json
  import os
  import tempfile
  from enum import Enum
  from functools import partial
  from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple
  from warnings import warn
  import torch
  import torch.autograd.profiler
  from torch._C import _get_privateuse1_backend_name
  from torch._C._profiler import _add_execution_trace_observer, _disable_execution_trace_observer, _enable_execution_trace_observer, _ExperimentalConfig, _remove_execution_trace_observer
  from torch.autograd import kineto_available, ProfilerActivity
  from torch.profiler._memory_profiler import MemoryProfile, MemoryProfileTimeline
label_desc: Use image node_id 4 for calling a global function with example usage: tensorboard_trace_handler(dir_name, worker_name, use_gzip) and returns: handler_fn