Comments (8)
Hi, @82318179
I apologize for the delay in responding, following the instructions mentioned in my #8081 (comment) with these Node.js versions Node.js v19.9.0
and Node.js v18.16.1
it should work with Python version 3.x and less than Python version 3.12.x (e.g 3.11.x,3.10.x or 3.9.x)
and at the moment it's not working as expected with Node.js v20.9.0
I believe you're following these official documentation Ref-1, Ref-2 and node-gyp - Node.js native addon build tool for Windows
In general you'll have to follow below steps to install @tensorflow/tfjs-node on Windows system:
- Edit the path user or system variable, ensure that the path to python is added to the path variable.
- Install Visual Studio community edition with desktop development with C++ Link
- Install visual studio build tools with the help of Visual Studio Installer
- Ensure that node-gyp is available:
npm install -g node-gyp
- Install tfjs-node:
npm install @tensorflow/tfjs-node
tfjs-node
requires AVX processors and tfjs-node library uses AVX instructions to improve the performance of its operations. If your CPU does not support AVX, as far I know you will not be able to use tfjs-node if I'm not wrong so to check AVX support please follow below steps
- Right-click on the Start button and select "System Information."
- Expand the "Processor" category in the left-hand pane.
- Look for "Instruction Set" or "Extended Instructions" in the right-hand pane. If AVX is supported, you should see it listed there (e.g., "AVX2").
NOTE : If the above workaround does not work please try using your mobile phone's hotspot to connect your computer to the internet. This alternative connection might fix the installation issue.
Please let us know after trying the above steps is it resolving your issue or not ? if not please help us with the error log to investigate this issue further
Thank you for your cooperation and patience.
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This issue has been marked stale because it has no recent activity since 7 days. It will be closed if no further activity occurs. Thank you.
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Why does the node version must specify v19.9.0 and Node.js v18.16.1? Why is it not supported in versions 20 and above
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Hi, @82318179
I apologize for the delayed response and at the moment temporary workaround is to use Node.js v19.9.0
and Node.js v18.16.1
it should work with Python version 3.x and less than Python version 3.12.x (e.g 3.11.x,3.10.x or 3.9.x)
and at the moment it's not working as expected with Node.js v20.x.x
and our team is working on this issue and will update you soon.
EDIT :
- If you don't want to rebuild everything from scratch then please try to copy
tensorflow.dll
in this locationnode_modules/\@tensorflow/tfjs-node/lib/napi-v8/
(innapi-v8
folder) you can try below command to copytensorflow.dll
intonapi-v8
folder.
cp node_modules/\@tensorflow/tfjs-node/deps/lib/tensorflow.dll node_modules/\@tensorflow/tfjs-node/lib/napi-v8/
- If you're looking rebuild everything from scratch then please try below workaround :
npm install
npm update
npm rebuild bcrypt --build-from-source
npm rebuild @tensorflow/tfjs-node build-addon-from-source
Thank you for your cooperation and patience.
from tfjs.
This issue has been marked stale because it has no recent activity since 7 days. It will be closed if no further activity occurs. Thank you.
from tfjs.
This issue was closed due to lack of activity after being marked stale for past 7 days.
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Are you satisfied with the resolution of your issue?
Yes
No
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This issue should be open and tagged as bug I believe.
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