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在@tensorflow 安装文件夹中找不到“tfjs_binding.node”

[英]“tfjs_binding.node” not found in @tensorflow installed folder

当我尝试使用 tensorflow 的某些功能时,它稍后会给出错误简写为“tfjs_binding.node”在@tensorflow insatlled 文件夹中找不到。

我已经安装了 python 2.7,因为它必须作为张量流之前的要求安装..并通过“python -v”检查其有效性

所以下面是当我尝试安装@tensorflow/tfjs-node 时。请帮我清理一下……

D:\FYP stuff\servermaking\f_I_upoadt2>npm install @tensorflow/tfjs-node

> @tensorflow/tfjs-node@1.2.11 install D:\FYP stuff\servermaking\f_I_upoadt2\node_modules\@tensorflow\tfjs-node
> node scripts/install.js

CPU-windows-1.2.11.zip
* Downloading libtensorflow
[==============================] 310671/bps 100% 0.0s
[==============================] 355964/bps 100% 0.0s
* Building TensorFlow Node.js bindings
node-pre-gyp install failed with error: Error: Command failed: node-pre-gyp install --fallback-to-build
node-pre-gyp WARN Using needle for node-pre-gyp https download
node-pre-gyp WARN Tried to download(404): https://storage.googleapis.com/tf-builds/pre-built-binary/napi-v3/1.2.11/CPU-windows-1.2.11.zip
node-pre-gyp WARN Pre-built binaries not found for @tensorflow/tfjs-node@1.2.11 and node@10.15.0 (node-v64 ABI, unknown) (falling back to source compile with node-gyp)
gyp ERR! build error
gyp ERR! stack Error: `C:\Program Files (x86)\MSBuild\12.0\bin\msbuild.exe` failed with exit code: 1
gyp ERR! stack     at ChildProcess.onExit (C:\Program Files\nodejs\node_modules\npm\node_modules\node-gyp\lib\build.js:262:23)
gyp ERR! stack     at ChildProcess.emit (events.js:182:13)
gyp ERR! stack     at Process.ChildProcess._handle.onexit (internal/child_process.js:240:12)
gyp ERR! System Windows_NT 10.0.17763
gyp ERR! command "C:\\Program Files\\nodejs\\node.exe" "C:\\Program Files\\nodejs\\node_modules\\npm\\node_modules\\node-gyp\\bin\\node-gyp.js" "build" "--fallback-to-build" "--module=D:\\FYP stuff\\servermaking\\f_I_upoadt2\\node_modules\\@tensorflow\\tfjs-node\\lib\\napi-v3\\tfjs_binding.node" "--module_name=tfjs_binding" "--module_path=D:\\FYP stuff\\servermaking\\f_I_upoadt2\\node_modules\\@tensorflow\\tfjs-node\\lib\\napi-v3" "--napi_version=3" "--node_abi_napi=napi" "--napi_build_version=3" "--node_napi_label=napi-v3"
gyp ERR! cwd D:\FYP stuff\servermaking\f_I_upoadt2\node_modules\@tensorflow\tfjs-node
gyp ERR! node -v v10.15.0
gyp ERR! node-gyp -v v3.8.0
gyp ERR! not ok
node-pre-gyp ERR! build error
node-pre-gyp ERR! stack Error: Failed to execute 'C:\Program Files\nodejs\node.exe C:\Program Files\nodejs\node_modules\npm\node_modules\node-gyp\bin\node-gyp.js build --fallback-to-build --module=D:\FYP stuff\servermaking\f_I_upoadt2\node_modules\@tensorflow\tfjs-node\lib\napi-v3\tfjs_binding.node --module_name=tfjs_binding --module_path=D:\FYP stuff\servermaking\f_I_upoadt2\node_modules\@tensorflow\tfjs-node\lib\napi-v3 --napi_version=3 --node_abi_napi=napi --napi_build_version=3 --node_napi_label=napi-v3' (1)
node-pre-gyp ERR! stack     at ChildProcess.<anonymous> (D:\FYP stuff\servermaking\f_I_upoadt2\node_modules\node-pre-gyp\lib\util\compile.js:83:29)
node-pre-gyp ERR! stack     at ChildProcess.emit (events.js:182:13)
node-pre-gyp ERR! stack     at maybeClose (internal/child_process.js:962:16)
node-pre-gyp ERR! stack     at Process.ChildProcess._handle.onexit (internal/child_process.js:251:5)
node-pre-gyp ERR! System Windows_NT 10.0.17763
node-pre-gyp ERR! command "C:\\Program Files\\nodejs\\node.exe" "D:\\FYP stuff\\servermaking\\f_I_upoadt2\\node_modules\\node-pre-gyp\\bin\\node-pre-gyp" "install" "--fallback-to-build"
node-pre-gyp ERR! cwd D:\FYP stuff\servermaking\f_I_upoadt2\node_modules\@tensorflow\tfjs-node
node-pre-gyp ERR! node -v v10.15.0
node-pre-gyp ERR! node-pre-gyp -v v0.13.0
node-pre-gyp ERR! not ok

npm WARN f_i_upoadt2@1.0.0 No description
npm WARN f_i_upoadt2@1.0.0 No repository field.

+ @tensorflow/tfjs-node@1.2.11
updated 1 package and audited 598 packages in 106.757s
found 0 vulnerabilities


以下是我尝试运行服务器后给出的错误

    throw err;
    ^

Error: Cannot find module 'D:\FYP stuff\servermaking\f_I_upoadt2\node_modules\@tensorflow\tfjs-node\lib\napi-v3\tfjs_binding.node'
    at Function.Module._resolveFilename (internal/modules/cjs/loader.js:581:15)
    at Function.Module._load (internal/modules/cjs/loader.js:507:25)
    at Module.require (internal/modules/cjs/loader.js:637:17)
    at require (internal/modules/cjs/helpers.js:22:18)
    at Object.<anonymous> (D:\FYP stuff\servermaking\f_I_upoadt2\node_modules\@tensorflow\tfjs-node\dist\index.js:44:16)
    at Module._compile (internal/modules/cjs/loader.js:689:30)
    at Object.Module._extensions..js (internal/modules/cjs/loader.js:700:10)
    at Module.load (internal/modules/cjs/loader.js:599:32)
    at tryModuleLoad (internal/modules/cjs/loader.js:538:12)
    at Function.Module._load (internal/modules/cjs/loader.js:530:3)
[nodemon] app crashed - waiting for file changes before starting...

我很乐意得到任何帮助或指导

SO,the way i got to solve issues above is first I had to set python v2 as default python when on check version of python and later onward => I had to to open Windows Power shell as admin and type in this command shown above npm install -g windows-build-tools花了几分钟时间就完成了。 我还安装了@tensorflow/tfjs ,然后在我的项目中安装了@ @tensorflow/tfjs-node" 。这就是我解决问题的方法,我希望它将来也能帮助其他人。

旁注 => Windows 上的某些节点版本存在张量流问题,例如我必须从 v10.15.0 升级到 v10.16.3
“解决问题的功劳归于 Github 上的 tensorflow/tfjs 团队”

我对 Windows 10 上的@tensorflow\tfjs-node 版本@1.5.2 和@1.7.4 有同样的问题。节点版本@12.18.3 LTS

Error: The specified module could not be found.
\\?\E:\hypothesis-manager\facerec\http-service\node_modules\@tensorflow\tfjs-node\lib\napi-v5\tfjs_binding.node
    at Object.Module._extensions..node (internal/modules/cjs/loader.js:1187:18)
    at Module.load (internal/modules/cjs/loader.js:985:32)
    at Function.Module._load (internal/modules/cjs/loader.js:878:14)
    at Module.require (internal/modules/cjs/loader.js:1025:19)
    at require (internal/modules/cjs/helpers.js:72:18)
    at Object.<anonymous> (E:\hypothesis-manager\facerec\http-service\node_modules\@tensorflow\tfjs-node\dist\index.js:58:16)

当我们尝试更新和安装软件包时会发生这种情况,并且某些依赖项没有正确安装。 如果您使用的是 npm,请尝试npm uninstall @tensorflow\tfjs-node 然后使用npm i @tensorflow\tfjs-node安装最新版本的 tensorflow 它将工作。 如果您只想在您的项目中运行特定版本的 tensorflow(在我的情况下是 @1.5.2),请尝试以下评论中给出的方法。

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