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path: "tensorflow.ReaderBase"
tf_class {
is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>"
is_instance: "<type \'object\'>"
member {
name: "reader_ref"
mtype: "<type \'property\'>"
}
member {
name: "supports_serialize"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'reader_ref\', \'supports_serialize\'], varargs=None, keywords=None, defaults=[\'False\'], "
}
member_method {
name: "num_records_produced"
argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "num_work_units_completed"
argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "read"
argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "read_up_to"
argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "reset"
argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "restore_state"
argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "serialize_state"
argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
}
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