code: def test_mevo_eval():
      """Test eval mode without target tensor"""
      weight = torch.nn.Linear(3, 4).cuda().weight
      input = torch.rand(1, 5, 3).cuda()
      k = MEVO(weight)
      k.eval()
      out = k(input, None)
      assert out.shape == (1, 5, 4)
  
file_path: fairscale/tests/experimental/nn/test_mevo.py
imports: import os
  import pytest
  import torch
  from fairscale.experimental.nn import MEVO
  from fairscale.experimental.nn.mevo import BaselineSoftmaxNllLoss, get_data
  from fairscale.fair_dev.testing.testing import skip_if_no_cuda
label_desc: Use image node_id 2 for calling a global function with example usage: test_mevo_eval() without return types