code: def tile(cls, op):
      a = op.inputs[0]
      out = op.outputs[0]
      input_len = len(op.inputs)
      if input_len == 1:
          v = op.v
      else:
          v = op.inputs[1]
  
      if len(a.chunks) == 1:
          return cls._tile_one_chunk(op, a, v, out)
      return (yield from cls._tile_tree_reduction(op, a, v, out))
  
imports: import itertools
  from typing import Any, List, Tuple, Type
  import numpy
  from ...None import opcodes
  from ...core import TILEABLE_TYPE
  from ...core.operand import OperandStage
  from ...serialization.serializables import StringField, AnyField, Int64Field, Int32Field
  from ...typing import TileableType, ChunkType
  from ...config import options
  from ...utils import has_unknown_shape
  from ..operands import TensorOperand, TensorOperandMixin
  from ..core import TENSOR_TYPE, TensorOrder
  from ..datasource.array import tensor
  from ..array_utils import as_same_device, device
label_desc: Use image node_id 6 for calling the TensorSearchsorted obj's underlying member method code with example usage: obj.tile(cls, op) and returns: unknown, cls