code: def conv2d(
      num_filters,
      filter_size,
      stride=1,
      padding=0,
      dilation=1,
      groups=None,
      param_attr=None,
      bias_attr=None,
      use_cudnn=True,
      act=None,
      name=None,
  ):
      """
      Return a function that creates a paddle.fluid.layers.conv2d.
      """
      default_name = "conv2d"
      param_attr = update_attr_name(
          name, default_name, param_attr, False
      )
      bias_attr = update_attr_name(name, default_name, bias_attr, True)
  
      class Conv2D_(LayerFunc):
          def __init__(self):
              super(Conv2D_, self).__init__(
                  AttrHolder(param_attr=param_attr, bias_attr=bias_attr)
              )
  
          def __call__(self, input):
              return layers.conv2d(
                  input=input,
                  num_filters=num_filters,
                  filter_size=filter_size,
                  stride=stride,
                  padding=padding,
                  dilation=dilation,
                  groups=groups,
                  param_attr=self.attr_holder.param_attr,
                  bias_attr=self.attr_holder.bias_attr,
                  use_cudnn=use_cudnn,
                  act=act,
              )
  
      return Conv2D_()
  
imports: import inspect
  import paddle.fluid.layers
  import paddle.fluid.unique_name
  import paddle.fluid
  import six
  from copy import deepcopy
  from paddle.fluid.executor import _fetch_var
  from paddle.fluid.framework import Variable
  from paddle.fluid.layers import *
  from paddle.fluid.param_attr import ParamAttr
  from parl.core.fluid.layers.attr_holder import AttrHolder
  from parl.utils import get_fluid_version
label_desc: Use image node_id 12 for calling a global function with example usage: conv2d(num_filters, filter_size, stride, padding, dilation, groups, param_attr, bias_attr, use_cudnn, act, name) and returns: Conv2D_, layers