1path: "tensorflow.keras.utils.SequenceEnqueuer" 2tf_class { 3 is_instance: "<class \'tensorflow.python.keras.utils.data_utils.SequenceEnqueuer\'>" 4 is_instance: "<type \'object\'>" 5 member_method { 6 name: "__init__" 7 argspec: "args=[\'self\', \'sequence\', \'use_multiprocessing\'], varargs=None, keywords=None, defaults=[\'False\'], " 8 } 9 member_method { 10 name: "get" 11 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 12 } 13 member_method { 14 name: "is_running" 15 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 } 17 member_method { 18 name: "start" 19 argspec: "args=[\'self\', \'workers\', \'max_queue_size\'], varargs=None, keywords=None, defaults=[\'1\', \'10\'], " 20 } 21 member_method { 22 name: "stop" 23 argspec: "args=[\'self\', \'timeout\'], varargs=None, keywords=None, defaults=[\'None\'], " 24 } 25} 26