code: def tile(cls, op: "TensorTrapz"):
      from .diff import diff
  
      y = astensor(op.y)
      x = op.x
      axis = op.axis
  
      if x is not None:
          x = astensor(x)
          # rechunk x to make x.nsplits == y.nsplits
          if has_unknown_shape(x, y):
              yield
          x = yield from recursive_tile(x.rechunk(y.nsplits))
  
      if len(y.chunks) == 1:
          return cls._tile_one_chunk(op, y, x)
  
      if x is None:
          d = op.dx
      else:
          if x.ndim == 1:
              d = diff(x)
              # reshape to correct shape
              shape = [1] * y.ndim
              shape[axis] = d.shape[0]
              d = d.reshape(shape)
          else:
              d = diff(x, axis=axis)
      nd = y.ndim
      slice1 = [slice(None)] * nd
      slice2 = [slice(None)] * nd
      slice1[axis] = slice(1, None)
      slice2[axis] = slice(None, -1)
      ret = (d * (y[tuple(slice1)] + y[tuple(slice2)]) / 2.0).sum(axis)
      return [(yield from recursive_tile(ret))]
  
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 8 for calling the TensorTrapz obj's underlying member method code with example usage: obj.tile(cls, op) and returns: list, cls