class_docstr: Just  an MLP
class_docstr_tok: ["Just","an","MLP"]
code: def forward(self, x):
      x = self.input(x)
      x = self.dropout(x)
      x = F.relu(x)
      for hidden in self.hiddens:
          x = hidden(x)
          x = self.dropout(x)
          x = F.relu(x)
      x = self.output(x)
      return x
  
imports: import copy
  import torch
  import torch.nn
  import torch.nn.functional
  import torchvision.models
  from domainbed.lib import wide_resnet
label_desc: Use image node_id 2 for calling the MLP obj's underlying member method code with example usage: obj.forward(x) and returns: x