code: def backprop_maxout(self, dY, which, P):
      if dY.dtype in ("float32", "float64") and which.dtype == "int32":
          return _custom_kernels.backprop_maxout(dY, which, P)
      else:
          return super().backprop_maxout(dY, which, P)
  
imports: import numpy
  from ..None import registry
  from ..compat import cupy, cupyx
  from ..types import DeviceTypes
  from ..util import is_cupy_array, is_mxnet_gpu_array, is_tensorflow_gpu_array, is_torch_cuda_array, mxnet2xp, tensorflow2xp, torch2xp
  from .None import _custom_kernels
  from .numpy_ops import NumpyOps
  from .ops import Ops
label_desc: Use image node_id 12 for calling the CupyOps obj's underlying member method code with example usage: obj.backprop_maxout(dY, which, P) and returns: _custom_kernels, super