APACHE-ATLAS-2.1.0 - 【编译打包】- 在WINDOWS下使用命令行编译打包报错：无法下载win32-x64-72_binding.node文件

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原创 2023-06-05 10:41:11 386 阅读 AI 写同款· GEO 优化 ›
win32-x64-72-binding.node 适配文件下载与Node-Sass安装解决方案 Node-Sass 是 Sass 样式语言在 Node.js 环境下的高性能绑定实现，基于 LibSass 引擎，通过 C++ 扩展模块（.node文件）实现.scss到 CSS 的快速编译。其依赖 V8 与 Node.js 深度集成，广泛用于 Webpack、Gulp 等构建工具链中。Node.js 虽然基于 JavaScript 构建，但其核心模块大量依赖 C/C++ 实现。为了允许第三方开发者扩展功能，Node.js 提供了一套原生插件开发接口，称为。 阅读详情

错误内容

[INFO] --- frontend-maven-plugin:1.4:npm (npm install) @ atlas-dashboardv2 ---
[INFO] Running 'npm install' in D:\02-▒▒▒▒▒ռ▒\06-▒▒▒▒ռ▒\03-github\atlas-2.1.0-rc3\dashboardv2\target
[INFO]
[INFO] > node-sass@4.13.1 install D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\node-sass
[INFO] > node scripts/install.js
[INFO]
[INFO] Downloading binary from https://github.com/sass/node-sass/releases/download/v4.13.1/win32-x64-72_binding.node
[ERROR] Cannot download "https://github.com/sass/node-sass/releases/download/v4.13.1/win32-x64-72_binding.node":
[ERROR]
[ERROR] tunneling socket could not be established, cause=connect ECONNREFUSED 127.0.0.1:8087
[ERROR]
[ERROR] Hint: If github.com is not accessible in your location
[ERROR]       try setting a proxy via HTTP_PROXY, e.g.
[ERROR]
[ERROR]       export HTTP_PROXY=http://example.com:1234
[ERROR]
[ERROR] or configure npm proxy via
[ERROR]
[ERROR]       npm config set proxy http://example.com:8080
[INFO]
[INFO] > core-js@2.6.11 postinstall D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\core-js
[INFO] > node -e "try{require('./postinstall')}catch(e){}"
[INFO]
[INFO] Thank you for using core-js ( https://github.com/zloirock/core-js ) for polyfilling JavaScript standard library!
[INFO]
[INFO] The project needs your help! Please consider supporting of core-js on Open Collective or Patreon:
[INFO] > https://opencollective.com/core-js
[INFO] > https://www.patreon.com/zloirock
[INFO]
[INFO] Also, the author of core-js ( https://github.com/zloirock ) is looking for a good job -)
[INFO]
[INFO]
[INFO] > node-sass@4.13.1 postinstall D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\node-sass
[INFO] > node scripts/build.js
[INFO]
[INFO] Building: D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node\node.exe D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\node-gyp\bin\node-gyp.js rebuild --verbose --libsass_ext= --libsass_cflags= --libsass_ldflags= --libsass_library=
[ERROR] gyp info it worked if it ends with ok
[ERROR] gyp verb cli [
[ERROR] gyp verb cli   'D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node\\node.exe',
[ERROR] gyp verb cli   'D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\node-gyp\\bin\\node-gyp.js',
[ERROR] gyp verb cli   'rebuild',
[ERROR] gyp verb cli   '--verbose',
[ERROR] gyp verb cli   '--libsass_ext=',
[ERROR] gyp verb cli   '--libsass_cflags=',
[ERROR] gyp verb cli   '--libsass_ldflags=',
[ERROR] gyp verb cli   '--libsass_library='
[ERROR] gyp verb cli ]
[ERROR] gyp info using node-gyp@3.8.0
[ERROR] gyp info using node@12.16.0 | win32 | x64
[ERROR] gyp verb command rebuild []
[ERROR] gyp verb command clean []
[ERROR] gyp verb clean removing "build" directory
[ERROR] gyp verb command configure []
[ERROR] gyp verb check python checking for Python executable "python2" in the PATH
[ERROR] gyp verb `which` failed Error: not found: python2
[ERROR] gyp verb `which` failed     at getNotFoundError (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:13:12)
[ERROR] gyp verb `which` failed     at F (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:68:19)
[ERROR] gyp verb `which` failed     at E (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:80:29)
[ERROR] gyp verb `which` failed     at D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:89:16
[ERROR] gyp verb `which` failed     at D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\isexe\index.js:42:5
[ERROR] gyp verb `which` failed     at D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\isexe\windows.js:36:5
[ERROR] gyp verb `which` failed     at FSReqCallback.oncomplete (fs.js:166:21)
[ERROR] gyp verb `which` failed  python2 Error: not found: python2
[ERROR] gyp verb `which` failed     at getNotFoundError (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:13:12)
[ERROR] gyp verb `which` failed     at F (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:68:19)
[ERROR] gyp verb `which` failed     at E (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:80:29)
[ERROR] gyp verb `which` failed     at D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:89:16
[ERROR] gyp verb `which` failed     at D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\isexe\index.js:42:5
[ERROR] gyp verb `which` failed     at D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\isexe\windows.js:36:5
[ERROR] gyp verb `which` failed     at FSReqCallback.oncomplete (fs.js:166:21) {
[ERROR] gyp verb `which` failed   stack: 'Error: not found: python2\n' +
[ERROR] gyp verb `which` failed     '    at getNotFoundError (D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\which\\which.js:13:12)\n' +
[ERROR] gyp verb `which` failed     '    at F (D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\which\\which.js:68:19)\n' +
[ERROR] gyp verb `which` failed     '    at E (D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\which\\which.js:80:29)\n' +
[ERROR] gyp verb `which` failed     '    at D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\which\\which.js:89:16\n' +
[ERROR] gyp verb `which` failed     '    at D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\isexe\\index.js:42:5\n' +
[ERROR] gyp verb `which` failed     '    at D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\isexe\\windows.js:36:5\n' +
[ERROR] gyp verb `which` failed     '    at FSReqCallback.oncomplete (fs.js:166:21)',
[ERROR] gyp verb `which` failed   code: 'ENOENT'
[ERROR] gyp verb `which` failed }
[ERROR] gyp verb check python checking for Python executable "python" in the PATH
[ERROR] gyp verb `which` failed Error: not found: python
[ERROR] gyp verb `which` failed     at getNotFoundError (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:13:12)
[ERROR] gyp verb `which` failed     at F (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:68:19)
[ERROR] gyp verb `which` failed     at E (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:80:29)
[ERROR] gyp verb `which` failed     at D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:89:16
[ERROR] gyp verb `which` failed     at D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\isexe\index.js:42:5
[ERROR] gyp verb `which` failed     at D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\isexe\windows.js:36:5
[ERROR] gyp verb `which` failed     at FSReqCallback.oncomplete (fs.js:166:21)
[ERROR] gyp verb `which` failed  python Error: not found: python
[ERROR] gyp verb `which` failed     at getNotFoundError (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:13:12)
[ERROR] gyp verb `which` failed     at F (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:68:19)
[ERROR] gyp verb `which` failed     at E (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:80:29)
[ERROR] gyp verb `which` failed     at D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\which\which.js:89:16
[ERROR] gyp verb `which` failed     at D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\isexe\index.js:42:5
[ERROR] gyp verb `which` failed     at D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\isexe\windows.js:36:5
[ERROR] gyp verb `which` failed     at FSReqCallback.oncomplete (fs.js:166:21) {
[ERROR] gyp verb `which` failed   stack: 'Error: not found: python\n' +
[ERROR] gyp verb `which` failed     '    at getNotFoundError (D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\which\\which.js:13:12)\n' +
[ERROR] gyp verb `which` failed     '    at F (D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\which\\which.js:68:19)\n' +
[ERROR] gyp verb `which` failed     '    at E (D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\which\\which.js:80:29)\n' +
[ERROR] gyp verb `which` failed     '    at D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\which\\which.js:89:16\n' +
[ERROR] gyp verb `which` failed     '    at D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\isexe\\index.js:42:5\n' +
[ERROR] gyp verb `which` failed     '    at D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\isexe\\windows.js:36:5\n' +
[ERROR] gyp verb `which` failed     '    at FSReqCallback.oncomplete (fs.js:166:21)',
[ERROR] gyp verb `which` failed   code: 'ENOENT'
[ERROR] gyp verb `which` failed }
[ERROR] gyp verb could not find "python". checking python launcher
[ERROR] gyp verb could not find "python". guessing location
[ERROR] gyp verb ensuring that file exists: C:\Python27\python.exe
[ERROR] gyp ERR! configure error
[ERROR] gyp ERR! stack Error: Can't find Python executable "python", you can set the PYTHON env variable.
[ERROR] gyp ERR! stack     at PythonFinder.failNoPython (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\node-gyp\lib\configure.js:484:19)
[ERROR] gyp ERR! stack     at PythonFinder.<anonymous> (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\node-gyp\lib\configure.js:509:16)
[ERROR] gyp ERR! stack     at callback (D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\graceful-fs\polyfills.js:295:20)
[ERROR] gyp ERR! stack     at FSReqCallback.oncomplete (fs.js:166:21)
[ERROR] gyp ERR! System Windows_NT 10.0.19044
[ERROR] gyp ERR! command "D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node\\node.exe" "D:\\02-工作空间\\06-代码空间\\03-github\\atlas-2.1.0-rc3\\dashboardv2\\target\\node_modules\\node-gyp\\bin\\node-gyp.js" "rebuild" "--verbose" "--libsass_ext=" "--libsass_cflags=" "--libsass_ldflags=" "--libsass_library="
[ERROR] gyp ERR! cwd D:\02-工作空间\06-代码空间\03-github\atlas-2.1.0-rc3\dashboardv2\target\node_modules\node-sass
[ERROR] gyp ERR! node -v v12.16.0
[ERROR] gyp ERR! node-gyp -v v3.8.0
[ERROR] gyp ERR! not ok
[ERROR] Build failed with error code: 1
[ERROR] npm ERR! code ELIFECYCLE
[ERROR] npm ERR! errno 1
[ERROR] npm ERR! node-sass@4.13.1 postinstall: `node scripts/build.js`
[ERROR] npm ERR! Exit status 1
[ERROR] npm ERR!
[ERROR] npm ERR! Failed at the node-sass@4.13.1 postinstall script.
[ERROR] npm ERR! This is probably not a problem with npm. There is likely additional logging output above.
[ERROR]
[ERROR] npm ERR! A complete log of this run can be found in:
[ERROR] npm ERR!     C:\Users\ROCKY\AppData\Roaming\npm-cache\_logs\2023-05-16T07_05_35_474Z-debug.log

报错原因

因为网络的问题，无法下载导致安装node-sass报错：
https://github.com/sass/node-sass/releases/download/v4.13.0/win32-x64-72_binding.node

解决方案（亲测可行）

①. 先手动下载
②. 再复制文件到指定目录
将下载下来的文件win32-x64-72_binding.node复制到：
C:\Users\ROCKY\AppData\Roaming\npm-cache\node-sass\4.13.1 目录下.
③. 执行安装
执行指令：npm i node-sass

在这里插入图片描述

ATLAS的打包命令如下：在这里插入图片描述

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win32-x64-72_binding.node vue开发中安装node-sass是报错，无法下载win32-x64-72_binding.node，因为没有镜像文件，而github下载时无代理无法下载 立即下载

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B. Palm", title = "Prediction as a candidate for learning deep hierarchical models of data", year = "2012",}```Contact: rasmusbergpalm at gmail dot comDirectories included in the toolbox-----------------------------------`NN/` - A library for Feedforward Backpropagation Neural Networks`CNN/` - A library for Convolutional Neural Networks`DBN/` - A library for Deep Belief Networks`SAE/` - A library for Stacked Auto-Encoders`CAE/` - A library for Convolutional Auto-Encoders`util/` - Utility functions used by the libraries`data/` - Data used by the examples`tests/` - unit tests to verify toolbox is workingFor references on each library check REFS.mdSetup-----1. Download.2. addpath(genpath('DeepLearnToolbox'));Example: Deep Belief Network---------------------```matlabfunction test_example_DBNload mnist_uint8;train_x = double(train_x) / 255;test_x = double(test_x) / 255;train_y = double(train_y);test_y = double(test_y);%% ex1 train a 100 hidden unit RBM and visualize its weightsrand('state',0)dbn.sizes = [100];opts.numepochs = 1;opts.batchsize = 100;opts.momentum = 0;opts.alpha = 1;dbn = dbnsetup(dbn, train_x, opts);dbn = dbntrain(dbn, train_x, opts);figure; visualize(dbn.rbm{1}.W'); % Visualize the RBM weights%% ex2 train a 100-100 hidden unit DBN and use its weights to initialize a NNrand('state',0)%train dbndbn.sizes = [100 100];opts.numepochs = 1;opts.batchsize = 100;opts.momentum = 0;opts.alpha = 1;dbn = dbnsetup(dbn, train_x, opts);dbn = dbntrain(dbn, train_x, opts);%unfold dbn to nnnn = dbnunfoldtonn(dbn, 10);nn.activation_function = 'sigm';%train nnopts.numepochs = 1;opts.batchsize = 100;nn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.10, 'Too big error');```Example: Stacked Auto-Encoders---------------------```matlabfunction test_example_SAEload mnist_uint8;train_x = double(train_x)/255;test_x = double(test_x)/255;train_y = double(train_y);test_y = double(test_y);%% ex1 train a 100 hidden unit SDAE and use it to initialize a FFNN% Setup and train a stacked denoising autoencoder (SDAE)rand('state',0)sae = saesetup([784 100]);sae.ae{1}.activation_function = 'sigm';sae.ae{1}.learningRate = 1;sae.ae{1}.inputZeroMaskedFraction = 0.5;opts.numepochs = 1;opts.batchsize = 100;sae = saetrain(sae, train_x, opts);visualize(sae.ae{1}.W{1}(:,2:end)')% Use the SDAE to initialize a FFNNnn = nnsetup([784 100 10]);nn.activation_function = 'sigm';nn.learningRate = 1;nn.W{1} = sae.ae{1}.W{1};% Train the FFNNopts.numepochs = 1;opts.batchsize = 100;nn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.16, 'Too big error');```Example: Convolutional Neural Nets---------------------```matlabfunction test_example_CNNload mnist_uint8;train_x = double(reshape(train_x',28,28,60000))/255;test_x = double(reshape(test_x',28,28,10000))/255;train_y = double(train_y');test_y = double(test_y');%% ex1 Train a 6c-2s-12c-2s Convolutional neural network %will run 1 epoch in about 200 second and get around 11% error. %With 100 epochs you'll get around 1.2% errorrand('state',0)cnn.layers = { struct('type', 'i') %input layer struct('type', 'c', 'outputmaps', 6, 'kernelsize', 5) %convolution layer struct('type', 's', 'scale', 2) %sub sampling layer struct('type', 'c', 'outputmaps', 12, 'kernelsize', 5) %convolution layer struct('type', 's', 'scale', 2) %subsampling layer};cnn = cnnsetup(cnn, train_x, train_y);opts.alpha = 1;opts.batchsize = 50;opts.numepochs = 1;cnn = cnntrain(cnn, train_x, train_y, opts);[er, bad] = cnntest(cnn, test_x, test_y);%plot mean squared errorfigure; plot(cnn.rL);assert(er<0.12, 'Too big error');```Example: Neural Networks---------------------```matlabfunction test_example_NNload mnist_uint8;train_x = double(train_x) / 255;test_x = double(test_x) / 255;train_y = double(train_y);test_y = double(test_y);% normalize[train_x, mu, sigma] = zscore(train_x);test_x = normalize(test_x, mu, sigma);%% ex1 vanilla neural netrand('state',0)nn = nnsetup([784 100 10]);opts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samples[nn, L] = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.08, 'Too big error');%% ex2 neural net with L2 weight decayrand('state',0)nn = nnsetup([784 100 10]);nn.weightPenaltyL2 = 1e-4; % L2 weight decayopts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex3 neural net with dropoutrand('state',0)nn = nnsetup([784 100 10]);nn.dropoutFraction = 0.5; % Dropout fraction opts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex4 neural net with sigmoid activation functionrand('state',0)nn = nnsetup([784 100 10]);nn.activation_function = 'sigm'; % Sigmoid activation functionnn.learningRate = 1; % Sigm require a lower learning rateopts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex5 plotting functionalityrand('state',0)nn = nnsetup([784 20 10]);opts.numepochs = 5; % Number of full sweeps through datann.output = 'softmax'; % use softmax outputopts.batchsize = 1000; % Take a mean gradient step over this many samplesopts.plot = 1; % enable plottingnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex6 neural net with sigmoid activation and plotting of validation and training error% split training data into training and validation datavx = train_x(1:10000,:);tx = train_x(10001:end,:);vy = train_y(1:10000,:);ty = train_y(10001:end,:);rand('state',0)nn = nnsetup([784 20 10]); nn.output = 'softmax'; % use softmax outputopts.numepochs = 5; % Number of full sweeps through dataopts.batchsize = 1000; % Take a mean gradient step over this many samplesopts.plot = 1; % enable plottingnn = nntrain(nn, tx, ty, opts, vx, vy); % nntrain takes validation set as last two arguments (optionally)[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');```[![Bitdeli Badge](https://d2weczhvl823v0.cloudfront.net/rasmusbergpalm/deeplearntoolbox/trend.png)](https://bitdeli.com/free "Bitdeli Badge")
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