TypeError: Expected int32, got list containing Tensors of type '_Message' instead.
See original GitHub issuerun code :
python main.py --dataset mnist --input_height=28 --output_height=28 --c_dim=1 --is_train
TypeError: Expected int32, got list containing Tensors of type ‘_Message’ instead.
Issue Analytics
- State:
- Created 7 years ago
- Comments:11 (1 by maintainers)
Top Results From Across the Web
Tensorflow Slim: TypeError: Expected int32, got list containing ...
I got the same problem when using the 1.0 released and I could make it work without having to roll back on a...
Read more >Expected int32, got list containing Tensors of type '_Message ...
Hi, I am using TF ver 0.12.head on Ubuntu 16.04 Python 2.7 and following this for learning inception model in TF Slim import...
Read more >Tensorflow Slim: TypeError: Expected int32, got list ... - Intellipaat
I think the problem is caused by a change in the API. You should update all the line with tf.concat. For example. net...
Read more >Expected int32, got list containing Tensors of type '_Message ...
Tensorflow Error Error Message:TypeError: Expected int32, got list containing Tensors of type '_Message' instead.
Read more >Tensorflow Slim: TypeError: Expected int32, got list ... - DevPress
I am following this tutorial for learning TensorFlow Slim but upon running the following code for Inception:
Read more >Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start FreeTop Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Top GitHub Comments
I also met the issues, my solution: change tf.concat to tf.concat_v2
That’s all…and it works.!
Mine was stupid … I simply did not notice… FYI : Instead of using
HyperColumns = tf.concat(0 , [layer1, layer2], )
I should use
HyperColumns = tf.concat([layer1, layer2], 0)