class_docstr: A class for visualizing execution timelines of TensorFlow steps.
class_docstr_tok: ["A","class","for","visualizing","execution","timelines","of","TensorFlow","steps","."]
docstr: Returns true if this device is part of the GPUTracer logging.
docstr_tok: ["Returns","true","if","this","device","is","part","of","the","GPUTracer","logging","."]
code: def _is_gputrace_device(self, device_name: str) -> bool:
      """Returns true if this device is part of the GPUTracer logging."""
      return "/stream:" in device_name or "/memcpy" in device_name
  
imports: import collections
  import copy
  import json
  import re
  from typing import Any, Dict, List, Optional, Tuple, Union
  from tensorflow.core.framework import step_stats_pb2
  from tensorflow.python.platform import build_info
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 10 for calling the Timeline obj's underlying member method code with example usage: obj._is_gputrace_device(device_name) and returns: unknown