code: def tile(cls, op):
      ctx = get_context()
      workers = ctx.get_worker_addresses()
  
      out_chunks = []
      for index, worker in enumerate(workers):
          chunk_op = op.copy().reset_key()
          chunk_op.expect_worker = worker
          chunk_op.operator_index = index
          out_chunk = chunk_op.new_chunk(
              [], dtype=np.dtype(object), shape=(1,), index=(index,)
          )
          out_chunks.append(out_chunk)
  
      new_op = op.copy().reset_key()
      return new_op.new_tensors(
          op.inputs,
          shape=(np.nan,),
          dtype=np.dtype(object),
          chunks=out_chunks,
          nsplits=((np.nan,) * len(workers),),
      )
  
imports: import json
  import numpy
  from ...None import opcodes
  from ...serialization.serializables import Int32Field, StringField
  from ...storage.base import StorageLevel
  from ...utils import calc_nsplits, has_unknown_shape, lazy_import
  from ...core.context import get_context
  from ..operands import TensorOperand, TensorOperandMixin
  from .core import TensorNoInput
label_desc: Use image node_id 2 for calling the TensorFromVineyard obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op