code: def _tile_one_chunk(cls, op, val):
      out = op.outputs[0]
      chunk_op = op.copy().reset_key()
      chunk_inputs = [op.input.chunks[0]]
      if isinstance(val, TENSOR_TYPE):
          chunk_inputs.append(val.chunks[0])
      chunk = chunk_op.new_chunk(
          chunk_inputs,
          shape=out.shape,
          order=out.order,
          index=(0,) * out.ndim,
      )
      new_op = op.copy()
      return new_op.new_tensors(
          op.inputs,
          shape=out.shape,
          order=out.order,
          chunks=[chunk],
          nsplits=((s,) for s in out.shape),
      )
  
imports: import numpy
  from ...None import opcodes
  from ...core import ENTITY_TYPE, recursive_tile
  from ...serialization.serializables import KeyField, AnyField, BoolField, Int32Field
  from ...utils import has_unknown_shape, ceildiv
  from ..operands import TensorOperand, TensorOperandMixin
  from ..datasource import tensor
  from ..array_utils import as_same_device, device
  from ..core import Tensor, TENSOR_TYPE
  from ..utils import decide_unify_split
label_desc: Use image node_id 12 for calling the TensorFillDiagonal obj's underlying member method code with example usage: obj._tile_one_chunk(cls, op, val) and returns: new_op