def _grads(self, x, y):       
        # Symbolic gradients with respect to the cost 
        return [T.grad(self._cost(x, y), param) for param in self.params]
Test that we prompt the bucket name in case it's not configured
dataset/ETHPy150Open LxMLS/lxmls-toolkit/lxmls/deep_learning/mlp.py/TheanoMLP._grads--crossover with--dataset/ETHPy150Open koenbok/Cactus/cactus/tests/deployment/test_bucket_name.py/BucketNameTestCase.test_not_configured