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)
