Created
March 14, 2019 02:32
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use tensorflow.js in a web worker
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| <head> | |
| <script src="https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]/dist/tf.min.js"></script> | |
| <script> | |
| const worker_function = () => { | |
| onmessage = () => { | |
| console.log('from web worker') | |
| this.window = this | |
| importScripts('https://cdn.jsdelivr.net/npm/[email protected]/setImmediate.min.js') | |
| importScripts('https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]') | |
| tf.setBackend('cpu') | |
| const res = tf.zeros([1, 2]).add(tf.ones([1, 2])) | |
| res.print() | |
| postMessage({res: res.dataSync(), shape: res.shape}) | |
| }; | |
| } | |
| if (window != self) | |
| worker_function(); | |
| </script> | |
| <script> | |
| const worker = new Worker(URL.createObjectURL(new Blob(["(" + worker_function.toString() + ")()"], { type: 'text/javascript' }))); | |
| worker.postMessage({}); | |
| worker.onmessage = (message) => { | |
| console.log('from main thread') | |
| const {data} = message | |
| tf.tensor(data.res, data.shape).print() | |
| } | |
| </script> | |
| </head> |
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