code: def execute(cls, ctx, op):
      (x,), device_id, xp = as_same_device(
          [ctx[c.key] for c in op.inputs],
          device=op.device,
          ret_extra=True,
      )
  
      with device(device_id):
          ctx[op.outputs[0].key] = xp.linalg.norm(
              x, ord=op.ord, axis=op.axis, keepdims=op.keepdims
          )
  
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 9 for calling the TensorNorm obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types