code: def _tile_one_chunk(cls, op, in_tensor, w, v, vi):
      out_tensor = op.outputs[0]
      chunk_op = op.copy().reset_key()
      chunk_inputs = [in_tensor.chunks[0]]
      for val in [w, v, vi]:
          if val is not None:
              chunk_inputs.append(val.chunks[0])
      chunk = chunk_op.new_chunk(
          chunk_inputs,
          shape=out_tensor.shape,
          order=out_tensor.order,
          index=(0,) * out_tensor.ndim,
      )
  
      new_op = op.copy()
      return new_op.new_tensors(
          op.inputs,
          shape=out_tensor.shape,
          order=out_tensor.order,
          nsplits=tuple((s,) for s in out_tensor.shape),
          chunks=[chunk],
      )
  
imports: from typing import List, Tuple
  import numpy
  from ....None import opcodes
  from ....core import recursive_tile
  from ....core.operand import OperandStage
  from ....serialization.serializables import FieldTypes, KeyField, AnyField, Float16Field, Int32Field, TupleField
  from ....utils import has_unknown_shape, require_module, ensure_own_data
  from ....config import options
  from ...operands import TensorMapReduceOperand, TensorOperandMixin, TensorShuffleProxy
  from ...array_utils import as_same_device, device, cp
  from ...core import TensorOrder
  from ...datasource.array import tensor
label_desc: Use image node_id 17 for calling the TensorPdist obj's underlying member method code with example usage: obj._tile_one_chunk(cls, op, in_tensor, w, v, vi) and returns: new_op