path: "tensorflow.distribute.ReductionToOneDevice"
tf_class {
  is_instance: "<class \'tensorflow.python.distribute.cross_device_ops.ReductionToOneDevice\'>"
  is_instance: "<class \'tensorflow.python.distribute.cross_device_ops.CrossDeviceOps\'>"
  is_instance: "<type \'object\'>"
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'reduce_to_device\', \'accumulation_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "batch_reduce"
    argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "batch_reduce_implementation"
    argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\', \'options\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "broadcast"
    argspec: "args=[\'self\', \'tensor\', \'destinations\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "broadcast_implementation"
    argspec: "args=[\'self\', \'tensor\', \'destinations\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "reduce"
    argspec: "args=[\'self\', \'reduce_op\', \'per_replica_value\', \'destinations\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "reduce_implementation"
    argspec: "args=[\'self\', \'reduce_op\', \'per_replica_value\', \'destinations\', \'options\'], varargs=None, keywords=None, defaults=None"
  }
}