code: def _use_cudnn(self, x, gy):
      if cuda._cudnn_version < 6000 and any(
          d != 1 for d in self.dilate
      ):
          # cuDNN < 6.0 does not support dilated convolutions
          return False
      if cuda._cudnn_version < 7000 and 1 < self.groups:
          # cuDNN < 7.0 does not support grouped convolutions
          return False
      return (
          chainer.should_use_cudnn(">=auto")
          and not self.cover_all
          and x.dtype == self.W_dtype
          and gy.dtype == self.W_dtype
          and self.ndim > 1
      )
  
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 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 2 for calling the ConvolutionNDGradW obj's underlying member method code with example usage: obj._use_cudnn(x, gy) and returns: unknown, False, False