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Running on Amazon Web Services via Elastic Beanstalk.
System information:
Linux ip-172-31-30-251 4.14.88-72.76.amzn1.x86_64 #1 SMP Mon Jan 7 19:47:07 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux
Error:
Nodejs Environment detected
Registration of backend tensorflow failed
Error: Could not locate the bindings file. Tried:
→ /var/app/current/node_modules/@tensorflow/tfjs-node/build/tfjs_binding.node
→ /var/app/current/node_modules/@tensorflow/tfjs-node/build/Debug/tfjs_binding.node
→ /var/app/current/node_modules/@tensorflow/tfjs-node/build/Release/tfjs_binding.node
→ /var/app/current/node_modules/@tensorflow/tfjs-node/out/Debug/tfjs_binding.node
→ /var/app/current/node_modules/@tensorflow/tfjs-node/Debug/tfjs_binding.node
→ /var/app/current/node_modules/@tensorflow/tfjs-node/out/Release/tfjs_binding.node
→ /var/app/current/node_modules/@tensorflow/tfjs-node/Release/tfjs_binding.node
→ /var/app/current/node_modules/@tensorflow/tfjs-node/build/default/tfjs_binding.node
→ /var/app/current/node_modules/@tensorflow/tfjs-node/compiled/10.15.0/linux/x64/tfjs_binding.node
at bindings (/var/app/current/node_modules/bindings/bindings.js:96:9)
at /var/app/current/node_modules/@tensorflow/tfjs-node/dist/index.js:11:60
at Environment.registerBackend (/var/app/current/node_modules/@tensorflow/tfjs-core/dist/environment.js:210:27)
at Object.<anonymous> (/var/app/current/node_modules/@tensorflow/tfjs-node/dist/index.js:10:9)
at Module._compile (internal/modules/cjs/loader.js:689:30)
at Object.Module._extensions..js (internal/modules/cjs/loader.js:700:10)
at Module.load (internal/modules/cjs/loader.js:599:32)
at tryModuleLoad (internal/modules/cjs/loader.js:538:12)
at Function.Module._load (internal/modules/cjs/loader.js:530:3)
at Module.require (internal/modules/cjs/loader.js:637:17)
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============================
Hi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.
============================
The text was updated successfully, but these errors were encountered:
Running on Amazon Web Services via Elastic Beanstalk.
System information:
Error:
The text was updated successfully, but these errors were encountered: