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path: "tensorflow.train.Server"
tf_class {
is_instance: "<class \'tensorflow.python.training.server_lib.Server\'>"
is_instance: "<type \'object\'>"
member {
name: "server_def"
mtype: "<type \'property\'>"
}
member {
name: "target"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'server_or_cluster_def\', \'job_name\', \'task_index\', \'protocol\', \'config\', \'start\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'True\'], "
}
member_method {
name: "create_local_server"
argspec: "args=[\'config\', \'start\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], "
}
member_method {
name: "join"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "start"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
}
|
