code: def build_conv_layer(cfg, *args, **kwargs):
      """Build convolution layer.
  
      Args:
          cfg (None or dict): The conv layer config, which should contain:
              - type (str): Layer type.
              - layer args: Args needed to instantiate an conv layer.
          args (argument list): Arguments passed to the `__init__`
              method of the corresponding conv layer.
          kwargs (keyword arguments): Keyword arguments passed to the `__init__`
              method of the corresponding conv layer.
  
      Returns:
          nn.Module: Created conv layer.
      """
      if cfg is None:
          cfg_ = dict(type="Conv2d")
      else:
          if not isinstance(cfg, dict):
              raise TypeError("cfg must be a dict")
          if "type" not in cfg:
              raise KeyError('the cfg dict must contain the key "type"')
          cfg_ = cfg.copy()
  
      layer_type = cfg_.pop("type")
      if layer_type not in CONV_LAYERS:
          raise KeyError(f"Unrecognized norm type {layer_type}")
      else:
          conv_layer = CONV_LAYERS.get(layer_type)
  
      layer = conv_layer(*args, **kwargs, **cfg_)
  
      return layer
  
label_desc: Use image node_id 1 for calling a global function with example usage: build_conv_layer(cfg) and returns: layer