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for Node currently supports the following platforms:\n- Mac OS X CPU (10.12.6 Siera or higher)\n- Linux CPU (Ubuntu 14.04 or higher)\n- Linux GPU (Ubuntu 14.04 or higher and Cuda 9.0 w/ CUDNN v7) ([see installation instructions](https://www.tensorflow.org/install/install_linux))\n- Windows CPU (Win 7 or higher)\n- Windows GPU (Win 7 or higher and Cuda 9.0 w/ CUDNN v7) ([see installation instructions](https://www.tensorflow.org/install/install_windows))\n\n*Other Linux variants might also work but this project matches [core TensorFlow installation requirements](https://www.tensorflow.org/install/install_linux).*\n\n#### Installing CPU TensorFlow.js for Node:\n\n```sh\nnpm install @tensorflow/tfjs-node\n(or)\nyarn add @tensorflow/tfjs-node\n```\n\n#### Installing Linux/Windows GPU TensorFlow.js for Node:\n\n```sh\nnpm install @tensorflow/tfjs-node-gpu\n(or)\nyarn add @tensorflow/tfjs-node-gpu\n```\n\n#### Windows Requires Python 2.7\n\nWindows build support for `node-gyp` requires Python 2.7. Be sure to have this version before installing `@tensorflow/tfjs-node` or `@tensorflow/tfjs-node-gpu`. Machines with Python 3.x will not install the bindings properly.\n\n*For more troubleshooting on Windows, check out [WINDOWS_TROUBLESHOOTING.md](./WINDOWS_TROUBLESHOOTING.md).*\n\n#### Mac OS X Requires Xcode\n\nIf you do not have Xcode setup on your machine, please run the following commands:\n\n```sh\n$ xcode-select --install\n```\n\nAfter that operation completes, re-run `yarn add` or `npm install` for the `@tensorflow/tfjs-node` package.\n\nYou only need to include `@tensorflow/tfjs-node` or `@tensorflow/tfjs-node-gpu` in the package.json file, since those packages ship with `@tensorflow/tfjs` already.\n\n## Using the binding\n\nBefore executing any TensorFlow.js code, import the node package:\n\n```js\n// Load the binding\nimport * as tf from '@tensorflow/tfjs-node';\n\n// Or if running with GPU:\nimport * as tf from '@tensorflow/tfjs-node-gpu';\n```\n\nNote: you do not need to add the `@tensorflow/tfjs` package to your dependencies or import it directly.\n\n## Development\n\n```sh\n# Download and install JS dependencies, including libtensorflow 1.8.\nyarn\n\n# Run TFJS tests against Node.js backend:\nyarn test\n```\n\n```sh\n# Switch to GPU for local development:\nyarn enable-gpu\n```\n\n\n## MNIST demo for Node.js\n\nSee the [tfjs-examples repository](https://github.com/tensorflow/tfjs-examples/tree/master/mnist-node) for training the MNIST dataset using the Node.js bindings.\n\n### Optional: Build libtensorflow From TensorFlow source\n\nThis requires installing bazel first.\n\n```sh\nbazel build --config=monolithic //tensorflow/tools/lib_package:libtensorflow\n```\n","readmeFilename":"README.md"}