code: def _get_out_size(self, x_shape, w_shape):
      _, _, kh, kw = w_shape
      _, _, h, w = x_shape
  
      out_h = conv.get_conv_outsize(
          h, kh, self.sy, self.ph, cover_all=self.cover_all, d=self.dy
      )
      if out_h <= 0:
          raise RuntimeError("Height in the output should be positive.")
      out_w = conv.get_conv_outsize(
          w, kw, self.sx, self.pw, cover_all=self.cover_all, d=self.dx
      )
      if out_w <= 0:
          raise RuntimeError("Width in the output should be positive.")
      return out_h, out_w
  
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 4 for calling the Convolution2DFunction obj's underlying member method code with example usage: obj._get_out_size(x_shape, w_shape) and returns: out_h,  out_w