code: def _set_cover_all(self, x, W):
      x_shape = x.shape[2:]
      k_shape = W.shape[2:]
      self.cover_all = any(
          ix != conv.get_conv_outsize(oy, k, s, p, d=di)
          for (ix, oy, k, s, p, di) in zip(
              x_shape,
              self.outs,
              k_shape,
              self.stride,
              self.pad,
              self.dilate,
          )
      )
  
imports: import numpy
  from six import moves
  import chainer
  from chainer import backend
  from chainer.backends import cuda
  from chainer import configuration
  from chainer import function_node
  from chainer.functions.connection import convolution_2d
  from chainer.functions.connection import convolution_nd
  from chainer import utils
  from chainer.utils import conv
  from chainer.utils import conv_nd
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 11 for calling the DeconvolutionND obj's underlying member method code with example usage: obj._set_cover_all(x, W) without return types