code: def tile(cls, op):
      # make sure every inputs have known shape
      if has_unknown_shape(*op.inputs):
          yield
  
      in_tensor = yield from recursive_tile(
          op.input.rechunk({1: op.input.shape[1]})
      )
      # rechunk w, v, vi into one chunk if any of them has value
      extra_inputs = [None] * 3
      for i, ei in enumerate([op.w, op.v, op.vi]):
          if ei is None:
              continue
          new_ei = yield from recursive_tile(ei.rechunk(ei.shape))
          extra_inputs[i] = new_ei
      w, v, vi = extra_inputs
  
      if len(in_tensor.chunks) == 1:
          # only 1 chunk
          return cls._tile_one_chunk(op, in_tensor, w, v, vi)
      else:
          return cls._tile_chunks(op, in_tensor, w, v, vi)
  
imports: from typing import List, Tuple
  import numpy
  from ....None import opcodes
  from ....core import recursive_tile
  from ....core.operand import OperandStage
  from ....serialization.serializables import FieldTypes, KeyField, AnyField, Float16Field, Int32Field, TupleField
  from ....utils import has_unknown_shape, require_module, ensure_own_data
  from ....config import options
  from ...operands import TensorMapReduceOperand, TensorOperandMixin, TensorShuffleProxy
  from ...array_utils import as_same_device, device, cp
  from ...core import TensorOrder
  from ...datasource.array import tensor
label_desc: Use image node_id 19 for calling the TensorPdist obj's underlying member method code with example usage: obj.tile(cls, op) and returns: cls, cls