Fix crash at startup if TensorFlow is not supported (#8984)
* Lazy loading tensorflow * CHANGELOG * CHANGELOG * Check CPU flags * .
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@ -9,6 +9,13 @@
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You should also include the user name that made the change.
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-->
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## 12.x.x (unreleased)
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### Improvements
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### Bugfixes
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- Server: Fix crash at startup if TensorFlow is not supported @mei23
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## 12.112.3 (2022/07/09)
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### Improvements
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@ -2,19 +2,34 @@ import * as fs from 'node:fs';
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import { fileURLToPath } from 'node:url';
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import { dirname } from 'node:path';
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import * as nsfw from 'nsfwjs';
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import * as tf from '@tensorflow/tfjs-node';
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import si from 'systeminformation';
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const _filename = fileURLToPath(import.meta.url);
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const _dirname = dirname(_filename);
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const REQUIRED_CPU_FLAGS = ['avx2', 'fma'];
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let isSupportedCpu: undefined | boolean = undefined;
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let model: nsfw.NSFWJS;
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export async function detectSensitive(path: string): Promise<nsfw.predictionType[] | null> {
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try {
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if (isSupportedCpu === undefined) {
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const cpuFlags = await getCpuFlags();
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isSupportedCpu = REQUIRED_CPU_FLAGS.every(required => cpuFlags.includes(required));
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}
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if (!isSupportedCpu) {
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console.error('This CPU cannot use TensorFlow.');
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return null;
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}
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const tf = await import('@tensorflow/tfjs-node');
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if (model == null) model = await nsfw.load(`file://${_dirname}/../../nsfw-model/`, { size: 299 });
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const buffer = await fs.promises.readFile(path);
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const image = await tf.node.decodeImage(buffer, 3) as tf.Tensor3D;
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const image = await tf.node.decodeImage(buffer, 3) as any;
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try {
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const predictions = await model.classify(image);
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return predictions;
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@ -26,3 +41,8 @@ export async function detectSensitive(path: string): Promise<nsfw.predictionType
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return null;
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}
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}
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async function getCpuFlags(): Promise<string[]> {
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const str = await si.cpuFlags();
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return str.split(/\s+/);
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}
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