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 forward(self, x):
      x = self.fc1(x)
      x = self.act(x)
      x = self.drop(x)
      x = self.fc2(x)
      x = self.drop(x)
      return x
  
imports: from torch import nn
  from towhee.models.utils.weight_init import trunc_normal_
label_desc: Use image node_id 3 for calling the Mlp obj's underlying member method code with example usage: obj.forward(x) and returns: x