code: def _check_input_layouts_all_standard(self):
      if not all([layout is None for layout in self.input_layouts]):
          raise RuntimeError(
              "Non-standard memory layouts are only supported with cupy "
              "arrays in {}. Input layouts: {}".format(
                  self.label, self.input_layouts
              )
          )
  
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 5 for calling the Convolution2DFunction obj's underlying member method code with example usage: obj._check_input_layouts_all_standard() without return types