254fe1c943375153033ce020efbd73c7893094c8,test/examples/test_whitened_svgp_gp_regression.py,TestSVGPRegression,test_regression_error,#TestSVGPRegression#Any#,58

Before Change

        model.train()
        likelihood.train()
        optimizer = optim.Adam([{"params": model.parameters()}, {"params": likelihood.parameters()}], lr=0.01)
        with gpytorch.settings.skip_logdet_forward(skip_logdet_forward):
            for _ in range(170):
                optimizer.zero_grad()
                output = model(train_x)
                loss = -mll(output, train_y)
                loss.backward()
                optimizer.step()

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

After Change

            optimizer.zero_grad()
            output = model(train_x)
            loss = -mll(output, train_y)
            loss = loss.sum()
            loss.backward()
            optimizer.step()

        for param in model.parameters():

Instances