Session tensorflow中的恢复模型

我正在使用tensorflow实现一个神经网络，为了保存我的模型，我写了以下几行：

首先保存：

saver.save（sess，'logs/model\u%d.ckpt'%epoch\u i）

然后恢复：

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.")

模型恢复良好，因为在显示“model restored”（模型已恢复）之前没有错误。但就在之后，我出现了以下错误：

    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"]()]]

我不知道这个错误引起的问题，有人能解决吗

我在图中为每个操作命名，并尝试了几种语法，似乎没有任何效果

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非常感谢你的帮助

在还原前尝试初始化变量

tf.global\u variables\u initializer（）.run（）