Run JavaScript and TypeScript in node.js within VS Code notebooks with excellent support for debugging, tensorflowjs visulizations, plotly, danfojs, etc
2022-05-26 16:58:02.681260: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
at <Cell 4> [2, 17]
at <Cell 4> [16, 46]
at Script.runInContext (node:vm:139:12)
at Script.runInNewContext (node:vm:144:17)
at Object.runInNewContext (node:vm:298:38)
at C (~/.vscode/extensions/donjayamanne.typescript-notebook-2.0.6/out/extension/server/index.js:2:113345)
at t.execCode (~/.vscode/extensions/donjayamanne.typescript-notebook-2.0.6/out/extension/server/index.js:2:114312)
at k.<anonymous> (~/.vscode/extensions/donjayamanne.typescript-notebook-2.0.6/out/extension/server/index.js:2:142156)
at k.emit (node:events:527:28)
at k.emit (node:domain:475:12)
macOS 11.6.2 (Big Sur) on a MacBook Pro 2019 (8-Core Intel Core i9)
Running a basic notebook from the samples gives: