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path: "tensorflow.train.Coordinator"
tf_class {
is_instance: "<class \'tensorflow.python.training.coordinator.Coordinator\'>"
is_instance: "<type \'object\'>"
member {
name: "joined"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'clean_stop_exception_types\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "clear_stop"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "join"
argspec: "args=[\'self\', \'threads\', \'stop_grace_period_secs\', \'ignore_live_threads\'], varargs=None, keywords=None, defaults=[\'None\', \'120\', \'False\'], "
}
member_method {
name: "raise_requested_exception"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "register_thread"
argspec: "args=[\'self\', \'thread\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "request_stop"
argspec: "args=[\'self\', \'ex\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "should_stop"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "stop_on_exception"
argspec: "args=[], varargs=args, keywords=kwds, defaults=None"
}
member_method {
name: "wait_for_stop"
argspec: "args=[\'self\', \'timeout\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
}
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