Compatibility with TF >= 1.0.0
See original GitHub issuetf.unpack
(used in 90th line of encoder.py) was deprecated in favor of tf.unstack
since release 1.0.0. However, a simple replacement tf.unpack
->tf.unstack
does not work because tf.split
has been changed too.
A full compatible with TF 1.0.1 version can be found here. Thanks to @blester125
Issue Analytics
- State:
- Created 6 years ago
- Reactions:10
- Comments:10
Top Results From Across the Web
TensorFlow version compatibility
TensorFlow 1.2 might support GraphDef versions 4 to 7. · TensorFlow 1.3 could add GraphDef version 8 and support versions 4 to 8....
Read more >Which TensorFlow and CUDA version combinations are ...
Which TensorFlow and CUDA version combinations are compatible? · Linux GPU · Linux CPU · macOS GPU · macOS CPU · Windows GPU...
Read more >CUDA/Cudnn/Driver/GCC/TensorFlow/Python version ...
Python 3.7 (the latest version supported by TF 1.15). CUDA 10.0 (required by TF 1.15). Note: install a different minor version CUDA 10.2...
Read more >Installing TensorFlow for Jetson Platform
Install TensorFlow using pip3 . This command will install the latest version of TensorFlow compatible with JetPack 5.0.2. $ sudo pip3 install --extra-index-url ......
Read more >I can't install TensorFlow-macos a… | Apple Developer Forums
I succeeded in installing tf-macos and tf-metal in a python 3.8 env. ... import tensorflow as tf - works print(tf.version) --- NameError: name...
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
@blester125 You are right. I created fully compatible with TF 1.0.1 version here.
@g3n1uss Great ! Just cloned your TF1.0.1 version and it works ! For the others: don’t forget git checkout remotes/origin/compatibleWithTF101
Thanks