code: def tile(cls, op):
      axis1, axis2 = op.axis1, op.axis2
      in_tensor = op.inputs[0]
      out_tensor = op.outputs[0]
  
      out_chunks = []
      for c in in_tensor.chunks:
          chunk_shape = _swap(c.shape, axis1, axis2)
          chunk_idx = _swap(c.index, axis1, axis2)
          chunk_op = op.copy().reset_key()
          out_chunk = chunk_op.new_chunk(
              [c],
              shape=chunk_shape,
              index=chunk_idx,
              order=out_tensor.order,
          )
          out_chunks.append(out_chunk)
  
      new_op = op.copy()
      nsplits = _swap(in_tensor.nsplits, axis1, axis2)
      return new_op.new_tensors(
          [in_tensor],
          out_tensor.shape,
          order=out_tensor.order,
          chunks=out_chunks,
          nsplits=nsplits,
      )
  
imports: from ...None import opcodes
  from ...serialization.serializables import KeyField, Int32Field
  from ..array_utils import as_same_device, device
  from ..core import TensorOrder
  from ..datasource import tensor
  from ..operands import TensorHasInput, TensorOperandMixin
  from ..utils import validate_axis, reverse_order
label_desc: Use image node_id 8 for calling the TensorSwapAxes obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op