class_docstr: MLP using 1x1 convs that keeps spatial dims
      
code: def forward(self, x):
      x = self.fc1(x)
      x = self.norm(x)
      x = self.act(x)
      x = self.drop(x)
      x = self.fc2(x)
      return x
  
imports: import math
  from functools import partial
  from collections import namedtuple
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.modules.utils import _pair
  import hydra
  from einops import reduce, rearrange
label_desc: Use image node_id 2 for calling the ConvMlp obj's underlying member method code with example usage: obj.forward(x) and returns: x