code: def tile(cls, op):
      if has_unknown_shape(*op.inputs):
          yield
  
      # ball tree and kd tree requires the full data,
      # thus rechunk input tensor into 1 chunk
      inp = op.input.rechunk(
          {ax: s for ax, s in enumerate(op.input.shape)}
      )
      inp = yield from recursive_tile(inp)
      out = op.outputs[0]
  
      chunk_op = op.copy().reset_key()
      kw = out.params
      kw["index"] = inp.chunks[0].index
      chunk = chunk_op.new_chunk([inp.chunks[0]], kws=[kw])
  
      new_op = op.copy()
      tileable_kw = out.params
      tileable_kw["nsplits"] = ((1,),)
      tileable_kw["chunks"] = [chunk]
      return new_op.new_tileables(op.inputs, kws=[tileable_kw])
  
imports: import cloudpickle
  import numpy
  from ...core import Object, OBJECT_TYPE, OBJECT_CHUNK_TYPE, recursive_tile
  from ...serialization.serializables import KeyField, Int32Field, DictField, AnyField, BoolField
  from ...tensor.core import TensorOrder
  from ...utils import has_unknown_shape, tokenize
  from ..operands import LearnOperand, LearnOperandMixin, OutputType
label_desc: Use image node_id 8 for calling the TreeBase obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op