path: "tensorflow.train.ProfilerHook"
tf_class {
  is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.ProfilerHook\'>"
  is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>"
  is_instance: "<type \'object\'>"
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'save_steps\', \'save_secs\', \'output_dir\', \'show_dataflow\', \'show_memory\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'\', \'True\', \'False\'], "
  }
  member_method {
    name: "after_create_session"
    argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "after_run"
    argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "before_run"
    argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "begin"
    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "end"
    argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None"
  }
}