def test_shape(self, input_param, input_data, expected_shape): net = Discriminator(**input_param) net.eval() with torch.no_grad(): result = net.forward(input_data) self.assertEqual(result.shape, expected_shape)
def test_shape(self, input_param, input_data, expected_shape): net = Discriminator(**input_param) with eval_mode(net): result = net.forward(input_data) self.assertEqual(result.shape, expected_shape)