code: def __init__(
      self,
      axis=None,
      kind=None,
      parallel_kind=None,
      order=None,
      psrs_kinds=None,
      need_align=None,
      return_value=None,
      return_indices=None,
      dtype=None,
      gpu=None,
      **kw,
  ):
      super().__init__(
          _axis=axis,
          _kind=kind,
          _parallel_kind=parallel_kind,
          _order=order,
          _psrs_kinds=psrs_kinds,
          _need_align=need_align,
          _return_value=return_value,
          _return_indices=return_indices,
          dtype=dtype,
          gpu=gpu,
          **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 1 to create a new TensorSort object from inherited base classes: TensorOperand, TensorPSRSOperandMixin with example: obj = TensorSort(axis, kind, parallel_kind, order, psrs_kinds, need_align, return_value, return_indices, dtype, gpu)