code: def __call__(self, ar):
      from .atleast_1d import atleast_1d
  
      ar = atleast_1d(ar)
      if self.axis is None:
          if ar.ndim > 1:
              ar = ar.flatten()
          self._axis = 0
      else:
          self._axis = validate_axis(ar.ndim, self._axis)
  
      kws = self._gen_kws(self, ar)
      tensors = self.new_tensors(
          [ar], kws=kws, order=TensorOrder.C_ORDER
      )
      if len(tensors) == 1:
          return tensors[0]
      return tensors
  
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 10 for calling the TensorUnique obj's underlying member method code with example usage: obj.__call__(ar) and returns: tensors, tensors