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Fix crash at startup if TensorFlow is not supported (#8984)

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* Lazy loading tensorflow

* CHANGELOG

* CHANGELOG

* Check CPU flags

* .
This commit is contained in:
MeiMei 2022-07-12 10:38:57 +09:00 • committed by GitHub
parent 1557d0afb8
commit 660781afd9
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2 changed files with 29 additions and 2 deletions
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24
packages/backend/src/services/detect-sensitive.ts
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@ -2,19 +2,34 @@ import * as fs from 'node:fs';
import { fileURLToPath } from 'node:url';
import { dirname } from 'node:path';
import * as nsfw from 'nsfwjs';
import * as tf from '@tensorflow/tfjs-node';
import si from 'systeminformation';
const _filename = fileURLToPath(import.meta.url);
const _dirname = dirname(_filename);
const REQUIRED_CPU_FLAGS = ['avx2', 'fma'];
let isSupportedCpu: undefined | boolean = undefined;
let model: nsfw.NSFWJS;
export async function detectSensitive(path: string): Promise<nsfw.predictionType[] | null> {
try {
if (isSupportedCpu === undefined) {
const cpuFlags = await getCpuFlags();
isSupportedCpu = REQUIRED_CPU_FLAGS.every(required => cpuFlags.includes(required));
}
if (!isSupportedCpu) {
console.error('This CPU cannot use TensorFlow.');
return null;
}
const tf = await import('@tensorflow/tfjs-node');
if (model == null) model = await nsfw.load(`file://${_dirname}/../../nsfw-model/`, { size: 299 });
const buffer = await fs.promises.readFile(path);
const image = await tf.node.decodeImage(buffer, 3) as tf.Tensor3D;
const image = await tf.node.decodeImage(buffer, 3) as any;
try {
const predictions = await model.classify(image);
return predictions;
@ -26,3 +41,8 @@ export async function detectSensitive(path: string): Promise<nsfw.predictionType
return null;
}
}
async function getCpuFlags(): Promise<string[]> {
const str = await si.cpuFlags();
return str.split(/\s+/);
}