ValueError: No variables to optimize. #7
Description
when i run the training code, it reports:
E:\计算机视觉大作业\MultiStyle\Fast_Multi_Style_Transfer-tensorflow-master\Fast_Multi_Style_Transfer-tensorflow-master>python main.py -f 1 -gn 0 -p MST -n 10 -b 16 -tsd images/test -sti images/style_crop/0_udnie.jpg -ctd /mnt/cloud/Data/COCO/train2014 -scw 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2019-04-28 22:05:09.742580: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
WARNING:tensorflow:From C:\Users\jiefeng\Documents\SOFTWARE\Python\Anaconda\lib\site-packages\tensorflow\python\framework\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
style_idx : [0]
Traceback (most recent call last):
File "main.py", line 60, in <module>
main()
File "main.py", line 50, in main
model = mst.mst(args, sess)
File "E:\计算机视觉大作业\MultiStyle\Fast_Multi_Style_Transfer-tensorflow-master\Fast_Multi_Style_Transfer-tensorflow-master\src\multi_style_transfer.py", line 12, in __init__
op.__init__(self, args, sess)
File "E:\计算机视觉大作业\MultiStyle\Fast_Multi_Style_Transfer-tensorflow-master\Fast_Multi_Style_Transfer-tensorflow-master\src\op.py", line 45, in __init__
self.build_model()
File "E:\计算机视觉大作业\MultiStyle\Fast_Multi_Style_Transfer-tensorflow-master\Fast_Multi_Style_Transfer-tensorflow-master\src\multi_style_transfer.py", line 69, in build_model
train_opt = tf.train.AdamOptimizer(self.learning_rate, self.momentum).minimize(loss, var_list=vars)
File "C:\Users\jiefeng\Documents\SOFTWARE\Python\Anaconda\lib\site-packages\tensorflow\python\training\optimizer.py", line 403, in minimize
grad_loss=grad_loss)
File "C:\Users\jiefeng\Documents\SOFTWARE\Python\Anaconda\lib\site-packages\tensorflow\python\training\optimizer.py", line 506, in compute_gradients
raise ValueError("No variables to optimize.")
ValueError: No variables to optimize.