code: def execute(cls, ctx, op: "TensorTrapz"):
      inputs, device_id, xp = as_same_device(
          [ctx[c.key] for c in op.inputs],
          device=op.device,
          ret_extra=True,
      )
  
      y = inputs[0]
      if len(inputs) > 1:
          x = inputs[-1]
      else:
          x = None
  
      with device(device_id):
          ctx[op.outputs[0].key] = xp.trapz(
              y, x=x, dx=op.dx, axis=op.axis
          )
  
imports: import numpy
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import KeyField, Float64Field, Int8Field
  from ...utils import has_unknown_shape
  from ..array_utils import as_same_device, device
  from ..core import TensorOrder
  from ..datasource import tensor
  from ..operands import TensorOperand, TensorOperandMixin
  from ..utils import validate_axis
label_desc: Use image node_id 10 for calling the TensorTrapz obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types