code: def _test_call_given_model(self, model, gpu):
      # This method only check if a given model can receive random input
      # data and return output data with the correct interface.
      batch_size = 7
      obs = np.random.rand(batch_size, self.n_dim_obs)
      action = np.random.rand(batch_size, self.n_dim_action)
      obs, action = (
          torch.from_numpy(obs).float(),
          torch.from_numpy(action).float(),
      )
      if gpu >= 0:
          model.to(torch.device("cuda", gpu))
          obs = obs.to(torch.device("cuda", gpu))
          action = action.to(torch.device("cuda", gpu))
      y = model(obs, action)
      assertions.assertTrue(isinstance(y, torch.Tensor))
      assertions.assertEqual(y.shape, (batch_size, 1))
      assertions.assertEqual(y.get_device(), obs.get_device())
  
imports: import unittest
  import numpy
  import torch
label_desc: Use image node_id 1 for calling the _TestSAQFunction obj's underlying member method code with example usage: obj._test_call_given_model(model, gpu) without return types