code: def __init__(self, conv2d, w_shape, w_dtype, w_layout):
      self.kh, self.kw = w_shape[2::]
      self.sy = conv2d.sy
      self.sx = conv2d.sx
      self.ph = conv2d.ph
      self.pw = conv2d.pw
      self.dy = conv2d.dy
      self.dx = conv2d.dx
      self.cover_all = conv2d.cover_all
      self.W_shape = w_shape
      self.W_dtype = w_dtype
      self.w_layout = w_layout
      self.groups = conv2d.groups
      self._use_ideep = conv2d._use_ideep
  
imports: import numpy
  import chainer
  from chainer import backend
  from chainer.backends import cuda
  from chainer.backends import intel64
  from chainer import configuration
  from chainer import function_node
  import chainer.functions
  from chainer import memory_layouts
  from chainer.utils import argument
  from chainer.utils import conv
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 1 to create a new Convolution2DGradW object from inherited base classes: function_node with example: obj = Convolution2DGradW(conv2d, w_shape, w_dtype, w_layout)