class_docstr: Implementation of MLP with 1*1 convolutions for poolformer, not the same as the original mlp
  Input: tensor with shape [B, C, H, W]
code: def _init_weights(self, m):
      if isinstance(m, nn.Conv2d):
          trunc_normal_(m.weight, std=0.02)
          if m.bias is not None:
              nn.init.constant_(m.bias, 0)
  
imports: from torch import nn
  from towhee.models.utils.weight_init import trunc_normal_
label_desc: Use image node_id 2 for calling the Mlp obj's underlying member method code with example usage: obj._init_weights(m) without return types