class_docstr: MLP model using ReLU. Useful for testing on CPUs.
code: def forward(self, x):
      batchsize_per_replica = x.shape[0]
      out = x.view(batchsize_per_replica, -1)
      out = self.mlp(out)
      return out
  
file_path: ClassyVision/classy_vision/models/mlp.py
imports: from typing import Any, Dict
  import torch.nn
  from .None import register_model
  from .classy_model import ClassyModel
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: out