pymc3：示例错误：BrokenPipeError：[Errno 32]管道损坏

Question

我是pymc3的新手，正在尝试编写代码以对MCMC进行简单的贝叶斯推理。但是下午。样本只是不断给我错误：

  

BrokenPipeError：[Errno 32]管道损坏

count_data = np.loadtxt('txtdata.csv')
n_count_data = len(count_data)

alpha = 1/count_data.mean()

with pm.Model() as model:

    lamda_1 = pm.Exponential("lamda_1", alpha)
    lamda_2 = pm.Exponential("lamda_2", alpha)

    tau = pm.DiscreteUniform("tau",lower = 0, upper = n_count_data)

    print ("Random Output : ", tau.random(), tau.random(), tau.random())

    def lamda_(tau = tau, lamda_1 = lamda_1, lamda_2 = lamda_2):
        init_zero = tt.as_tensor_variable(np.zeros(n_count_data))
        out = pm.Deterministic("out", init_zero)
        out = tt.set_subtensor(out[:tau], lamda_1)
        out = tt.set_subtensor(out[tau:], lamda_1)
        return out

    lamda_val = lamda_(tau, lamda_1, lamda_2)

    observation = pm.Poisson("obs", lamda_val, observed = count_data)

    model = pm.Model([observation, lamda_1, lamda_2, tau])

    trace = pm.sample(40000)

任何人都可以帮助查看导致问题的原因吗？谢谢。