code: def tile(cls, op):
      if has_unknown_shape(*op.inputs):
          yield
      in_tensor = op.input
  
      with open_file(op.filename, "w"):
          # create file if not exist
          pass
  
      nsplits = tuple([(0,) * len(ns) for ns in in_tensor.nsplits])
      if len(in_tensor.chunks) == 1:
          in_chunk = in_tensor.chunks[0]
          chunk_op = op.copy().reset_key()
          chunk_op._axis_offsets = (0,) * in_chunk.ndim
          chunk_op._out_shape = in_tensor.shape
          out_chunk = chunk_op.new_chunk(
              [in_chunk],
              shape=(0,) * in_chunk.ndim,
              index=in_chunk.index,
          )
          new_op = op.copy()
          return new_op.new_tensors(
              op.inputs,
              shape=(0,) * in_tensor.ndim,
              nsplits=nsplits,
              chunks=[out_chunk],
          )
  
      container_name = f"{op.key}_{int(time.time() * 1000)}"
  
      out_chunks = []
      acc = [[0] + np.cumsum(ns).tolist() for ns in in_tensor.nsplits]
      chunk_op_keys = []
      for chunk in in_tensor.chunks:
          chunk_op = op.copy().reset_key()
          chunk_op._out_shape = in_tensor.shape
          chunk_op._container_name = container_name
          chunk_op._axis_offsets = tuple(
              acc[ax][i] for ax, i in enumerate(chunk.index)
          )
          out_chunk = chunk_op.new_chunk(
              [chunk], shape=(0,) * chunk.ndim, index=chunk.index
          )
          out_chunks.append(out_chunk)
          chunk_op_keys.append(out_chunk.op.key)
  
      ctx = get_context()
      ctx.create_remote_object(
          container_name, _HDF5Container, chunk_op_keys
      )
  
      new_op = op.copy()
      return new_op.new_tensors(
          op.inputs,
          shape=(0,) * in_tensor.ndim,
          nsplits=nsplits,
          chunks=out_chunks,
      )
  
imports: import threading
  import time
  from typing import List
  import numpy
  from ...None import opcodes
  from ...core.context import get_context
  from ...oscar import ActorNotExist
  from ...serialization.serializables import FieldTypes, KeyField, StringField, DictField, TupleField
  from ...lib.filesystem import open_file
  from ...utils import has_unknown_shape
  from ..datasource import tensor
  from .core import TensorDataStore
label_desc: Use image node_id 12 for calling the TensorHDF5DataStore obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op, new_op