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Cannot import TFJS-Node about tfjs HOT 5 CLOSED

DevInsilicon avatar DevInsilicon commented on July 3, 2024
Cannot import TFJS-Node

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Comments (5)

gaikwadrahul8 avatar gaikwadrahul8 commented on July 3, 2024

Hi, @DevInsilicon

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 v20.11.0

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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DevInsilicon avatar DevInsilicon commented on July 3, 2024

Sorry for my late response,
Thank you very much. This indeed fixed the issue. But when looking in my System Informations program I don't have a category called Processor. I'll link an image, but I have AVX everything enabled in my bios, and TF is working so I guess it is enabled successfully.
Thanks a lot!

Edit: 10 minutes later I am getting this when running my Tensorflow

2024-05-25 19:43:37.878911: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

image

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gaikwadrahul8 avatar gaikwadrahul8 commented on July 3, 2024

Hi, @DevInsilicon

Good to hear that you're able to install tfjs-node successfully on your system and above message is just suggestion If your code is running well without issues, you can likely ignore that message. AVX2 might already be sufficient for your needs.

If you're comfortable with compiling from source and want to potentially squeeze out more performance, you can rebuild TensorFlow with compiler flags that enable more CPU instructions. This process can be complex and requires specific knowledge of your system and compiler. Refer to TensorFlow's build instructions for details on enabling specific CPU instructions from here which is optional to get the most optimal TensorFlow build that can take advantage of your specific hardware (AVX512, MKL-DNN), you can build the libtensorflow library from source.

If this issue is resolved, you may close this issue at your convenience. For further assistance, please feel free to create new issue and we'll be happy to help you further.

Thank you for your cooperation and patience.

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gaikwadrahul8 avatar gaikwadrahul8 commented on July 3, 2024

Hi, @DevInsilicon

We've not got any confirmation from your end so I'm closing this issue now from my end and if you need any further assistance please feel free to create new issue and we're happy to help further

Thank you for your cooperation and patience.

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google-ml-butler avatar google-ml-butler commented on July 3, 2024

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