code: def test_training_and_inference(self):
      class ToyModel(torch.nn.Module):
          def __init__(self):
              super().__init__()
              self.weight = torch.nn.Parameter(torch.Tensor(2, 2))
  
          def forward(self, x):
              return x * self.weight
  
      torchdynamo.reset()
      model = ToyModel().cuda()
  
      inference_table = bench_all(
          model, torch.ones(1024, 2, 2).cuda(), 5
      )
      self.assertTrue(
          "Inference" in inference_table
          and "Eager" in inference_table
          and "-" in inference_table
      )
  
      training_table = bench_all(
          model,
          torch.ones(1024, 2, 2).cuda(),
          5,
          optimizer=torch.optim.SGD(model.parameters(), lr=0.01),
      )
      self.assertTrue(
          "Train" in training_table
          and "Eager" in training_table
          and "-" in training_table
      )
  
imports: import torch
  import torch._dynamo
  from torch.testing._internal.common_utils import TestCase, run_tests, TEST_CUDA
  import unittest
label_desc: Use image node_id 1 for calling the TestCompileBenchmarkUtil obj's underlying member method code with example usage: obj.test_training_and_inference() and returns: unknown