ValueError: No variables to optimize.

[gongshixin]

Traceback (most recent call last):
File "E:/models/research/slim/train_image_classifier.py", line 590, in
tf.app.run()
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "C:\ProgramData\Anaconda3\lib\site-packages\absl\app.py", line 299, in run
_run_main(main, args)
File "C:\ProgramData\Anaconda3\lib\site-packages\absl\app.py", line 250, in _run_main
sys.exit(main(argv))
File "E:/models/research/slim/train_image_classifier.py", line 551, in main
var_list=variables_to_train)
File "E:\models\research\slim\deployment\model_deploy.py", line 299, in optimize_clones
optimizer, clone, num_clones, regularization_losses, **kwargs)
File "E:\models\research\slim\deployment\model_deploy.py", line 263, in _optimize_clone
clone_grad = optimizer.compute_gradients(sum_loss, **kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\training\optimizer.py", line 506, in compute_gradients
raise ValueError("No variables to optimize.")
ValueError: No variables to optimize.

[tensorflowbutler]

Thank you for your post. We noticed you have not filled out the following field in the issue template. Could you update them if they are relevant in your case, or leave them as N/A? Thanks.
What is the top-level directory of the model you are using
Have I written custom code
OS Platform and Distribution
TensorFlow installed from
TensorFlow version
Bazel version
CUDA/cuDNN version
GPU model and memory
Exact command to reproduce

[Minxiangliu]

I have the same problem.
I use tensorflow/models/research/slim latest version.

The command I executed:

python train_image_classifier.py \
    --train_dir=train_peacock \
    --dataset_dir=train_peacock \
    --dataset_split_name=train \
    --model_name=pnasnet_large \
    --checkpoint_path=pnasnet_large/model.ckpt \
    --checkpoint_exclude_scopes=Pnasnet_large/Logits,Pnasnet_large/AuxLogits \
    --trainable_scopes=Pnasnet_large/Logits,Pnasnet_large/AuxLogits

OS: ubuntu 18.04
TensorFlow version: 1.13.1
Bazel version: anaconda 1.7.2 / conda 4.7.10 / python 3.6.7
CUDA/cuDNN version: CUDA: 10.0 / 7.4.2
GPU model and memory: GPU 2080 ti with memory 11G

Do you have any suggestions?

[riddhi-n5]

This implies that your optimizer requires tensorflow variables. However, you haven't provided variables as such.
say you have for example - i = tf.zeros([20,10])
j = tf.zeros([20])
you'll have to change that to i = tf.Variable(tf.zeros([20,10])
j = tf.Variable(tf.zeros([20])

[sguada]

Make sure that the trainable_scopes=Pnasnet_large/Logits,Pnasnet_large/AuxLogits are valid names in the checkpoint, otherwise there will be no variables to train.

[google-ml-butler]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you.

[google-ml-butler]

Closing as stale. Please reopen if you'd like to work on this further.