

def test_adadelta(backend_default):
    ada = Adadelta()
    param = np.random.rand(200, 128)
    param2 = copy.deepcopy(param)
    grad = (0.01 * np.random.rand(200, 128))
    grad2 = (grad / 128.0)
    states = [(0.01 * np.random.rand(200, 128)), (0.01 * np.random.rand(200, 128)), (0.01 * np.random.rand(200, 128))]
    states2 = [copy.deepcopy(states[0]), copy.deepcopy(states[1]), copy.deepcopy(states[2])]
    decay = ada.decay
    states2[0][:] = ((states[0] * decay) + (((1.0 - decay) * grad2) * grad2))
    states2[2][:] = (np.sqrt(((states2[1] + ada.epsilon) / (states2[0] + ada.epsilon))) * grad2)
    states2[1][:] = ((states2[1] * decay) + (((1.0 - decay) * states2[2]) * states2[2]))
    param2[:] -= states2[2]
    param_list = [((wrap(param), wrap(grad)), [wrap(states[0]), wrap(states[1]), wrap(states[2])])]
    compare_tensors(ada, param_list, param2, tol=1e-07)

dataset/ETHPy150Open NervanaSystems/neon/tests/test_optimizer.py test_adadelta/VarMisuse@162/176 `states2`->`states`