Reputation: 645
I'm using tensorflow to implement a neural network and in order to save my model i've written the followings lines :
First to save : saver.save(sess, 'logs/model_%d.ckpt' % epoch_i)
Then to restore :
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.")
The model is well restored because there is no error before the display of 'Model restored' but just after, i've the following error :
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"]()]]
I've no idea of the the issue raised by this error, has someone a solution ?
I've put names to each operation in the graph and also tried with several syntax, nothing seems to work...
Thanks a lot for your help !
Upvotes: 1
Views: 284
Reputation: 377
try initializing your variables before restoring tf.global_variables_initializer().run()
Upvotes: 2