code: def execute(cls, ctx, op):
      (a,), device_id, xp = as_same_device(
          [ctx[inp.key] for inp in op.inputs],
          device=op.device,
          ret_extra=True,
      )
      return_value, return_indices = op.return_value, op.return_indices
  
      with device(device_id):
          kw = {}
          if op.kind is not None:
              kw["kind"] = op.kind
          if op.order is not None:
              kw["order"] = op.order
  
          if return_indices:
              if not return_value:
                  ctx[op.outputs[0].key] = xp.argsort(
                      a, axis=op.axis, **kw
                  )
              else:
                  indices = ctx[op.outputs[1].key] = xp.argsort(
                      a, axis=op.axis, **kw
                  )
                  ctx[op.outputs[0].key] = xp.take_along_axis(
                      a, indices, op.axis
                  )
          else:
              ctx[op.outputs[0].key] = xp.sort(a, axis=op.axis, **kw)
  
imports: import numpy
  from ...None import opcodes
  from ...serialization.serializables import FieldTypes, Int32Field, StringField, ListField, BoolField
  from ...core import ExecutableTuple
  from ..array_utils import as_same_device, device
  from ..core import TensorOrder
  from ..datasource import tensor
  from ..operands import TensorOperand, TensorShuffleProxy
  from ..utils import validate_axis, validate_order
  from .psrs import TensorPSRSOperandMixin
label_desc: Use image node_id 14 for calling the TensorSort obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types