code: def __init__(
      self,
      return_index=None,
      return_inverse=None,
      return_counts=None,
      axis=None,
      start_pos=None,
      aggregate_size=None,
      **kw,
  ):
      super().__init__(
          _return_index=return_index,
          _return_inverse=return_inverse,
          _return_counts=return_counts,
          _axis=axis,
          _start_pos=start_pos,
          _aggregate_size=aggregate_size,
          **kw,
      )
  
imports: import itertools
  import numpy
  from ...None import opcodes
  from ...config import options
  from ...core import recursive_tile
  from ...core.operand import OperandStage
  from ...lib import sparse
  from ...lib.sparse.core import get_array_module
  from ...serialization.serializables import BoolField, Int32Field, Int64Field
  from ...utils import has_unknown_shape
  from ..operands import TensorMapReduceOperand, TensorOperandMixin, TensorShuffleProxy
  from ..array_utils import as_same_device, device
  from ..core import TensorOrder
  from ..utils import validate_axis, hash_on_axis
label_desc: Use image node_id 1 to create a new TensorUnique object from inherited base classes: TensorMapReduceOperand, TensorOperandMixin with example: obj = TensorUnique(return_index, return_inverse, return_counts, axis, start_pos, aggregate_size)