41ed86f13674c1dcf7c77e5290efbd2154bf70a5,test/examples/test_kissgp_gp_regression.py,TestKISSGPRegression,test_kissgp_gp_mean_abs_error,#TestKISSGPRegression#,60

Before Change

        gp_model.train()
        likelihood.train()

        optimizer = optim.Adam(list(gp_model.parameters()) + list(likelihood.parameters()), lr=0.1)
        optimizer.n_iter = 0
        with gpytorch.settings.debug(False):
            for _ in range(25):
                optimizer.zero_grad()
                output = gp_model(train_x)
                loss = -mll(output, train_y)
                loss.backward()
                optimizer.n_iter += 1
                optimizer.step()

            for param in gp_model.parameters():
                self.assertTrue(param.grad is not None)
                self.assertGreater(param.grad.norm().item(), 0)
            for param in likelihood.parameters():
                self.assertTrue(param.grad is not None)
                self.assertGreater(param.grad.norm().item(), 0)

            // Test the model
            gp_model.eval()
            likelihood.eval()

            test_preds = likelihood(gp_model(test_x)).mean

After Change

        gp_model.train()
        likelihood.train()

        optimizer = optim.Adam(gp_model.parameters(), lr=0.1)
        optimizer.n_iter = 0
        with gpytorch.settings.debug(False):
            for _ in range(25):

Instances