在TensorFlow中还原模型

我正在使用tensorflow来实现神经网络，为了保存模型，我编写了以下几行：

首先保存： saver.save(sess, 'logs/model_%d.ckpt' % epoch_i)

然后还原：

restore = True
if restore == True :
   saver = tf.train.import_meta_graph('logs/model_55.ckpt.meta')
   saver.restore(sess, "logs/model_55.ckpt")
   print("Model restored.")

模型已很好地还原，因为在显示“模型还原”之前没有错误，但是在此之后，我出现以下错误：

    tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value beta1_power
         [[Node: beta1_power/read = Identity[T=DT_FLOAT, _class=["loc:@triplet/dense1/bias"], _device="/job:localhost/replica:0/task:0/device:GPU:0"](beta1_power)]]
         [[Node: sqrt2_1/_385 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_28263_sqrt2_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

    During handling of the above exception, another exception occurred:

[...]

        raise type(e)(node_def, op, message)
    tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value beta1_power
         [[Node: beta1_power/read = Identity[T=DT_FLOAT, _class=["loc:@triplet/dense1/bias"], _device="/job:localhost/replica:0/task:0/device:GPU:0"](beta1_power)]]
         [[Node: sqrt2_1/_385 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_28263_sqrt2_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

    Caused by op 'beta1_power/read', defined at:

[...]


    FailedPreconditionError (see above for traceback): Attempting to use uninitialized value beta1_power
         [[Node: beta1_power/read = Identity[T=DT_FLOAT, _class=["loc:@triplet/dense1/bias"], _device="/job:localhost/replica:0/task:0/device:GPU:0"](beta1_power)]]
         [[Node: sqrt2_1/_385 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_28263_sqrt2_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

    Traceback (most recent call last):

[...]

    tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value beta1_power
         [[Node: beta1_power/read = Identity[T=DT_FLOAT, _class=["loc:@triplet/dense1/bias"], _device="/job:localhost/replica:0/task:0/device:GPU:0"](beta1_power)]]
         [[Node: sqrt2_1/_385 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_28263_sqrt2_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

我不知道此错误引发的问题，有人可以解决吗？

我已经在图中的每个操作中添加了名称，还尝试了几种语法，但似乎没有任何效果...

非常感谢你的帮助 ！