Comments (7)
Hi, @OOFMAN29803
Thank you for bringing this issue to our attention and It's known issue with Tensorflow version 2.16.1
because latest version of Tensorflow.js downloading Tensorflow version 2.16.1
and it seems like tfjs_converter
is not working as expected so at the moment temporary workaround is to downgrade Tensorflow version to 2.15.0
after installing Tensorflow.js pip install tensorflowjs
by using this command pip install tensorflow==2.15.0
, please give it try from your end with temporary workaround and see is it working as expected or not ?
If issue still persists after downgrading the Tensorflow version to 2.15.0
after installing latest version of TensorFlow.js 4.17.0
please let us know with error log to investigate this issue further from our end.
Meanwhile our developer team will work on this issue to make tfjs_converter
compatible with Tensorflow version 2.16.1
in near future.
EDIT : I have tried from my end and after downgrading the TensorFlow version to 2.15.0
tfjs_converter is working as expected for your reference I have added gist-file
If you face any error w.r.t version compatibility between tensorflow-decision-forests
and TensorFlow 2.15.0
then please downgrade tensorflow-decision-forests
version to 1.8.1
by using pip install tensorflow-decision-forests==1.8.1
command and tfjs_converter should work as expected.
Thank you for your cooperation and patience
from tfjs.
Hi, @OOFMAN29803
To confirm, were you able to successfully run your code by following the provided instructions and workaround? If the code is running as expected after downgrading the TensorFlow version to 2.15.0
after installing the latest TensorFlow.js , please feel free to close this issue.
If you're still encountering problems, please provide us with a new error log after attempting the instructions and workaround. This will help us investigate the issue further on our end.
Thank you for your cooperation and patience in resolving this matter.
from tfjs.
Hey sorry for the late response I have been training the AI and as far as I am concerned, it's working very well I think
from tfjs.
Hi, @OOFMAN29803
No problem, I'm happy to hear the issue has been resolved. If you don't require further assistance, please don't hesitate to close this issue now.
Thank you for your understanding and patience.
from tfjs.
Hi, @OOFMAN29803
I haven't got any confirmation from your end but after downgrading the TensorFlow version to 2.15.0
, tfjs_converter is working as expected for your reference I have added gist-file but your issue still persists please feel free to post your comment with new error log so I'll go ahead and re-open this issue again for further assistance, At the moment I'm closing this issue.
Thank you for your cooperation and patience.
from tfjs.
Are you satisfied with the resolution of your issue?
Yes
No
from tfjs.
Yes I am so sorry, a lot has been going on in my life, I've barely looked at any emails and stuff so I did get it working but I have decided to drop it and go for a cloud AI instead using Google cloud functions etc
from tfjs.
Related Issues (20)
- Standard layers (like `tf.layers.dense`) fail to report their trainable weights, when used from within a custom layer HOT 4
- Error installing @tensorflow/tfjs-node at WSL Ubuntu HOT 3
- Bug when stacking LSTM HOT 4
- Tensor construction fails for the majority of TypedArray types HOT 1
- Trouble loading a saved model in tfjs-node, "Op type not registered 'DisableCopyOnRead'" HOT 1
- tfjs-node - upgrade tar >=6.2.1 HOT 3
- Undefined variable tensorflow-library-target in binding.gyp HOT 4
- tensorflowjs_converter: NotImplementedError: numpy() is only available when eager execution is enabled HOT 9
- tensorflowjs_converter on .keras file messes up weights HOT 6
- Safari webworker `Error when getting WebGL Context` HOT 4
- tfjs-node-gpu warnings (not running in GPU mode) HOT 2
- Model with softmax output layer not outputing probabilities but just 1 and 0 HOT 3
- Model Face Detection Confidence Score Output or Minimum Confidence Score Threshold
- model.executeAsync fails when loading multiple converted TF-DF models HOT 2
- TensorFlowJS fails reliably on Intel GPU running Windows, otherwise succeeds HOT 1
- Error when a module try to install tensorflow HOT 4
- I can't install @tensorflow/tfjs-node in my project HOT 5
- Finish placeholder features: einsum gradients, conv1d causal padding HOT 3
- Tfjs pose detection not working with newer Android devices (12, 13, 14) HOT 5
- Can you guide on how to load model (model.json and group1-shard1of1.bin files) which are downloaded to Documents Directory in iOS and internal app storage folder in Android ? HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from tfjs.