code: def __call__(self, x):
      r = x.astype(self.dtype)
      shape = self._norm(r, self._ord, self._axis, self._keepdims).shape
      return self.new_tensor([x], shape)
  
imports: import itertools
  from collections.abc import Iterable
  import numpy
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import FieldTypes, KeyField, AnyField, TupleField, BoolField
  from ..utils import validate_axis
  from ..array_utils import device, as_same_device
  from ..operands import TensorHasInput, TensorOperandMixin
  from ..arithmetic import sqrt
  from ..datasource import tensor
  from .svd import svd
label_desc: Use image node_id 6 for calling the TensorNorm obj's underlying member method code with example usage: obj.__call__(x) and returns: self