在TensorFlow中保存变量时FailedPreconditionError

Question

我试图通过表达式

来保存权重

saver2 = tf.train.Saver(tf.all_variables())
saver2.save(sess, '/home/username/learning/tensor/tffiles/ww/')

但由于此错误导致保存失败：

FailedPreconditionError (see above for traceback): 
/home/username/learning/tensor/tffiles/ww/.tempstate2977384776137285958

[[Node: save_1/save = SaveSlices[T=[DT_FLOAT, DT_FLOAT, DT_FLOAT, 
DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, 
DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"]
(_recv_save_1/Const_0, save_1/save/tensor_names, 
save_1/save/shapes_and_slices, conv1/biases, conv1/weights, conv2/biases, 
conv2/weights, f1/_9, f2/_11, local3/biases, local3/weights, local4/biases, 
local4/weights, softmax_linear/biases, softmax_linear/weights)]]

错误来自哪里？

Answer 1

问题出在线上，

saver2.save(sess, '/home/username/learning/tensor/tffiles/ww/')

缺少明确指定ckpt文件的名称，应该是

saver2.save(sess, '/home/username/learning/tensor/tffiles/ww/model.ckpt')