code: def test_forward(self):
      sample = make_sample_with_padding()
      out, _ = self.model.forward(**sample["net_input"])
      loss = out.sum()
      loss.backward()
  
imports: import argparse
  import unittest
  from typing import Any, Dict
  import torch
  from examples.simultaneous_translation.models import transformer_monotonic_attention
  from tests.test_roberta import FakeTask
label_desc: Use image node_id 1 for calling the MonotonicAttentionTestAbstractClass obj's underlying member method code with example usage: obj.test_forward() without return types