return process.dlopen(module, path.toNamespacedPath(filename)); about tfjs

[RezaErfani67]

thanks alot @gaikwadrahul8
i changed my tfjs-node version to "^3.1.0"...
here is my package.json file...
with nodejs version 16.20.2

{
  "name": "tfjs-abalone-node",
  "version": "1.0.0",
  "description": "",
  "main": "index.js",
  "license": "Apache-2.0",
  "scripts": {
    "train": "node train.js",
    "test": "node run_tests.js"
  },
  "dependencies": {
    "@tensorflow/tfjs-node": "^3.1.0",
    "argparse": "^1.0.10"
  },
  "devDependencies": {
    "jasmine": "^3.2.0",
    "jasmine-core": "^3.2.1",
    "shelljs": "^0.8.5",
    "tmp": "^0.0.33"
  }
}

in another computer i installed version 4 of tfjs-node and run below commands:

npm install
npm update
npm rebuild bcrypt --build-from-source
npm rebuild @tensorflow/tfjs-node build-addon-from-source

and solve the problem...

[gaikwadrahul8]

Hi, @RezaErfani67

I sincerely apologize for the delayed response and I believe you're following these instructions

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, you will not be able to use tfjs-node as far I know.

I would suggest you to please try @tensorflow/tfjs-node with Python versions 3.6, 3.7, 3.8, 3.9,3.10 or 3.11 and at the moment we are not supporting Python 3.12

To check if Windows 11 supports AVX processors:

• Press Windows + R to open the Run dialog box.
• Type msinfo32 and press Enter.
• In the System Information window, expand the Components node and select Processor.
• In the right pane, look for the Instruction Sets entry. If AVX is listed, then your CPU supports it.

If you haven't followed these instructions then please follow all those instructions and see are you able to install @tensorflow/tfjs-node with one of these python versions 3.6, 3.7, 3.8, 3.9,3.10 or 3.11 ?

If issue still persists please help me with complete error log after running this command node-gyp configure --verbose to investigate this issue further.

Thank you for your cooperation and patience.

[google-ml-butler]

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