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path: "tensorflow.RandomShuffleQueue"
tf_class {
is_instance: "<class \'tensorflow.python.ops.data_flow_ops.RandomShuffleQueue\'>"
is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>"
is_instance: "<type \'object\'>"
member {
name: "dtypes"
mtype: "<type \'property\'>"
}
member {
name: "name"
mtype: "<type \'property\'>"
}
member {
name: "names"
mtype: "<type \'property\'>"
}
member {
name: "queue_ref"
mtype: "<type \'property\'>"
}
member {
name: "shapes"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'capacity\', \'min_after_dequeue\', \'dtypes\', \'shapes\', \'names\', \'seed\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'random_shuffle_queue\'], "
}
member_method {
name: "close"
argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
}
member_method {
name: "dequeue"
argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "dequeue_many"
argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "dequeue_up_to"
argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "enqueue"
argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "enqueue_many"
argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "from_list"
argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "size"
argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
}
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