code: def execute(cls, ctx, op):
      inputs, device_id, xp = as_same_device(
          [ctx[c.key] for c in op.inputs],
          device=op.device,
          ret_extra=True,
      )
  
      inputs_iter = iter(inputs)
      a = next(inputs_iter)
      a_min = (
          next(inputs_iter)
          if isinstance(op.a_min, type(op.outputs[0]))
          else op.a_min
      )
      a_max = (
          next(inputs_iter)
          if isinstance(op.a_max, type(op.outputs[0]))
          else op.a_max
      )
      out = next(inputs_iter).copy() if op.out is not None else None
  
      with device(device_id):
          kw = {}
          if out is not None:
              kw["out"] = out
          ctx[op.outputs[0].key] = xp.clip(a, a_min, a_max, **kw)
  
imports: from numbers import Number
  import numpy
  from ...None import opcodes
  from ...serialization.serializables import KeyField, AnyField
  from ...core import ENTITY_TYPE
  from ..array_utils import as_same_device, device
  from ..core import Tensor
  from ..utils import broadcast_shape
  from ..datasource import tensor
  from .core import TensorOperand, TensorElementWise, filter_inputs
label_desc: Use image node_id 8 for calling the TensorClip obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types