code: def init_weight(self):
      for sublayer in self.sublayers():
          if isinstance(sublayer, nn.Conv2D):
              param_init.kaiming_normal_init(sublayer.weight)
          elif isinstance(sublayer, (nn.BatchNorm, nn.SyncBatchNorm)):
              param_init.constant_init(sublayer.weight, value=1.0)
              param_init.constant_init(sublayer.bias, value=0.0)
  
imports: import numpy
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager, param_init
  from paddleseg.utils import utils
label_desc: Use image node_id 3 for calling the EfficientFormerFPN obj's underlying member method code with example usage: obj.init_weight() without return types