code: def tile(cls, op):
      tensor = op.outputs[0]
      chunk_size = (
          tensor.extra_params.raw_chunk_size or options.chunk_size
      )
      chunk_size = decide_chunk_sizes(
          tensor.shape, chunk_size, tensor.dtype.itemsize
      )
      n_chunk = np.product([len(cs) for cs in chunk_size])
  
      if len(op.input.chunks) == 1 and n_chunk == 1:
          return cls._tile_one_chunk(op)
      else:
          return (yield from cls._tile_chunks(op, chunk_size))
  
imports: import itertools
  import numpy
  from ....None import opcodes
  from ....core import recursive_tile
  from ....core.operand import OperandStage
  from ....serialization.serializables import FieldTypes, KeyField, BoolField, TupleField
  from ....config import options
  from ....utils import has_unknown_shape, require_module
  from ...core import TensorOrder
  from ...operands import TensorMapReduceOperand, TensorOperandMixin, TensorShuffleProxy
  from ...datasource import ascontiguousarray, array, zeros
  from ...arithmetic import equal
  from ...utils import decide_chunk_sizes
  from ...array_utils import as_same_device, device, cp
label_desc: Use image node_id 10 for calling the TensorSquareform obj's underlying member method code with example usage: obj.tile(cls, op) and returns: cls, unknown