code: def init_weights(self, m):
      if isinstance(m, nn.Linear):
          kaiming_init_(m.weight)
          if isinstance(m, nn.Linear) and m.bias is not None:
              zeros_(m.bias)
  
file_path: PaddleOCR/ppocr/modeling/heads/rec_rfl_head.py
imports: import paddle
  import paddle.nn
  from paddle.nn.initializer import TruncatedNormal, Constant, Normal, KaimingNormal
  from .rec_att_head import AttentionLSTM
label_desc: Use image node_id 2 for calling the RFLHead obj's underlying member method code with example usage: obj.init_weights(m) without return types