类型错误:"original"参数的类型必须是函数



我在电子反应应用程序中尝试需要tfjs节点时遇到了这个错误。这个问题以前没有发生过,当时我没有安装react,我认为这是由于webpack中的某些内容需要配置。

const tf = require('@tensorflow/tfjs-node');

错误日志:

Uncaught TypeError: The "original" argument must be of type Function
at Object.promisify (util.js:601)
at Object.<anonymous> (file_system.js:58)
at Object../node_modules/@tensorflow/tfjs-node/dist/io/file_system.js (file_system.js:359)
at __webpack_require__ (bootstrap:785)
at fn (bootstrap:150)
at Object../node_modules/@tensorflow/tfjs-node/dist/index.js (index.js:34)
at __webpack_require__ (bootstrap:785)
at fn (bootstrap:150)
at Object../src/components/ssd/image_utils.js (image_utils.js:2)
at __webpack_require__ (bootstrap:785)
at fn (bootstrap:150)
at Object.<anonymous> (ssd.js:1)
at Object../src/components/ssd/ssd.js (ssd.js:196)
at __webpack_require__ (bootstrap:785)
at fn (bootstrap:150)
at Object../src/components/recorder/screen_utils.js (screen_utils.js:5)
at __webpack_require__ (bootstrap:785)
at fn (bootstrap:150)
at Module../src/components/recorder/Recorder.js (Recorder.css?0341:45)
at __webpack_require__ (bootstrap:785)
at fn (bootstrap:150)
at Module../src/Router.js (index.css:7)
at __webpack_require__ (bootstrap:785)
at fn (bootstrap:150)
at Module../src/index.js (index.css?f3f6:45)
at __webpack_require__ (bootstrap:785)
at fn (bootstrap:150)
at Object.1 (serviceWorker.js:141)
at __webpack_require__ (bootstrap:785)
at checkDeferredModules (bootstrap:45)
at Array.webpackJsonpCallback [as push] (bootstrap:32)
at main.chunk.js:1

我是webpack的新手,非常感谢任何帮助,并很乐意回答任何需要的澄清,因为我不知道问题的来源,更详细。

Package.json:

"dependencies": {
"@tensorflow/tfjs-node": "^1.6.0",
"@testing-library/jest-dom": "^4.2.4",
"@testing-library/react": "^9.5.0",
"@testing-library/user-event": "^7.2.1",
"aws-sdk": "^2.635.0",
"electron": "^8.1.0",
"electron-is-dev": "^1.1.0",
"electron-log": "^4.0.7",
"fs": "0.0.1-security",
"jimp": "^0.9.5",
"react": "^16.13.0",
"react-dom": "^16.13.0",
"react-router-dom": "^5.1.2",
"react-scripts": "3.4.0",
"robotjs": "^0.6.0",
"util.promisify": "^1.0.1"
},

问题在于require。"@tensorflow/tfjs node"导出多个内容(可能(,因此该模块内的导出类似于

module.exports = {
firstThing,
secondThing, ...
}

所以,代码中的tf是一个对象,而不是一个函数。所以,你应该使用这样的命名导入,

const {tf} = require('@tensorflow/tfjs-node')

所以,你在调用tf时遇到了一个错误。我没有处理过这个包,但这似乎是错误的原因。如果它不能解决问题,请添加引发错误的行。

相关内容

  • 没有找到相关文章

最新更新