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* enable sphinx * fix docs/readme link * update conf * use mkdocs to build homepage * Update mkdocs.yml use docs/README as main * delete sphinx file * add nav to mkdocs config * fix mkdocs bug * add requirement for online build * clean requirements.txt * add contribution * change requirements file location * delete sphinx from gitignore
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| <p align="center"> | ||
| <img src="img/nni_logo.png" alt="drawing" width="300"/> | ||
| </p> | ||
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| ----------- | ||
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| [](https://github.com/Microsoft/nni/blob/master/LICENSE) | ||
| [](https://msrasrg.visualstudio.com/NNIOpenSource/_build/latest?definitionId=6) | ||
| [](https://github.com/Microsoft/nni/issues?q=is%3Aissue+is%3Aopen) | ||
| [](https://github.com/Microsoft/nni/issues?q=is%3Aissue+is%3Aopen+label%3Abug) | ||
| [](https://github.com/Microsoft/nni/pulls?q=is%3Apr+is%3Aopen) | ||
| [](https://github.com/Microsoft/nni/releases) [](https://gitter.im/Microsoft/nni?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) | ||
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| NNI (Neural Network Intelligence) is a toolkit to help users run automated machine learning (AutoML) experiments. | ||
| The tool dispatches and runs trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different environments like local machine, remote servers and cloud. | ||
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| <p align="center"> | ||
| <img src="img/nni_arch_overview.png" alt="drawing"/> | ||
| </p> | ||
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| ## **Who should consider using NNI** | ||
| * Those who want to try different AutoML algorithms in their training code (model) at their local machine. | ||
| * Those who want to run AutoML trial jobs in different environments to speed up search (e.g. remote servers and cloud). | ||
| * Researchers and data scientists who want to implement their own AutoML algorithms and compare it with other algorithms. | ||
| * ML Platform owners who want to support AutoML in their platform. | ||
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| ## **Install & Verify** | ||
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| **Install through pip** | ||
| * We support Linux and MacOS in current stage, Ubuntu 16.04 or higher, along with MacOS 10.14.1 are tested and supported. Simply run the following `pip install` in an environment that has `python >= 3.5`. | ||
| ```bash | ||
| python3 -m pip install --user --upgrade nni | ||
| ``` | ||
| * Note: | ||
| * If you are in docker container (as root), please remove `--user` from the installation command. | ||
| * If there is any error like `Segmentation fault`, please refer to [FAQ](FAQ.md) | ||
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| **Install through source code** | ||
| * We support Linux (Ubuntu 16.04 or higher), MacOS (10.14.1) in our current stage. | ||
| * Run the following commands in an environment that has `python >= 3.5`, `git` and `wget`. | ||
| ```bash | ||
| git clone -b v0.4.1 https://github.com/Microsoft/nni.git | ||
| cd nni | ||
| source install.sh | ||
| ``` | ||
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| For the system requirements of NNI, please refer to [Install NNI](Installation.md) | ||
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| **Verify install** | ||
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| The following example is an experiment built on TensorFlow. Make sure you have **TensorFlow installed** before running it. | ||
| * Download the examples via clone the source code. | ||
| ```bash | ||
| git clone -b v0.4.1 https://github.com/Microsoft/nni.git | ||
| ``` | ||
| * Run the mnist example. | ||
| ```bash | ||
| nnictl create --config nni/examples/trials/mnist/config.yml | ||
| ``` | ||
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| * Wait for the message `INFO: Successfully started experiment!` in the command line. This message indicates that your experiment has been successfully started. You can explore the experiment using the `Web UI url`. | ||
| ``` | ||
| INFO: Starting restful server... | ||
| INFO: Successfully started Restful server! | ||
| INFO: Setting local config... | ||
| INFO: Successfully set local config! | ||
| INFO: Starting experiment... | ||
| INFO: Successfully started experiment! | ||
| ----------------------------------------------------------------------- | ||
| The experiment id is egchD4qy | ||
| The Web UI urls are: http://223.255.255.1:8080 http://127.0.0.1:8080 | ||
| ----------------------------------------------------------------------- | ||
| You can use these commands to get more information about the experiment | ||
| ----------------------------------------------------------------------- | ||
| commands description | ||
| 1. nnictl experiment show show the information of experiments | ||
| 2. nnictl trial ls list all of trial jobs | ||
| 3. nnictl log stderr show stderr log content | ||
| 4. nnictl log stdout show stdout log content | ||
| 5. nnictl stop stop an experiment | ||
| 6. nnictl trial kill kill a trial job by id | ||
| 7. nnictl --help get help information about nnictl | ||
| ----------------------------------------------------------------------- | ||
| ``` | ||
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| * Open the `Web UI url` in your browser, you can view detail information of the experiment and all the submitted trial jobs as shown below. [Here](WebUI.md) are more Web UI pages. | ||
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| <table style="border: none"> | ||
| <th><img src="img/webui_overview_page.png" alt="drawing" width="395"/></th> | ||
| <th><img src="img/webui_trialdetail_page.png" alt="drawing" width="410"/></th> | ||
| </table> | ||
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| ## **Documentation** | ||
| * [NNI overview](Overview.md) | ||
| * [Quick start](GetStarted.md) | ||
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| ## **How to** | ||
| * [Install NNI](Installation.md) | ||
| * [Use command line tool nnictl](NNICTLDOC.md) | ||
| * [Use NNIBoard](WebUI.md) | ||
| * [How to define search space](SearchSpaceSpec.md) | ||
| * [How to define a trial](howto_1_WriteTrial.md) | ||
| * [Config an experiment](ExperimentConfig.md) | ||
| * [How to use annotation](howto_1_WriteTrial.md#nni-python-annotation) | ||
| ## **Tutorials** | ||
| * [Run an experiment on local (with multiple GPUs)?](tutorial_1_CR_exp_local_api.md) | ||
| * [Run an experiment on multiple machines?](tutorial_2_RemoteMachineMode.md) | ||
| * [Run an experiment on OpenPAI?](PAIMode.md) | ||
| * [Run an experiment on Kubeflow?](KubeflowMode.md) | ||
| * [Try different tuners and assessors](tutorial_3_tryTunersAndAssessors.md) | ||
| * [Implement a customized tuner](howto_2_CustomizedTuner.md) | ||
| * [Implement a customized assessor](../examples/assessors/README.md) | ||
| * [Use Genetic Algorithm to find good model architectures for Reading Comprehension task](../examples/trials/ga_squad/README.md) | ||
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| ## **Contribute** | ||
| This project welcomes contributions and suggestions, we use [GitHub issues](https://github.com/Microsoft/nni/issues) for tracking requests and bugs. | ||
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| Issues with the **good first issue** label are simple and easy-to-start ones that we recommend new contributors to start with. | ||
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| To set up environment for NNI development, refer to the instruction: [Set up NNI developer environment](SetupNNIDeveloperEnvironment.md) | ||
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| Before start coding, review and get familiar with the NNI Code Contribution Guideline: [Contributing](CONTRIBUTING.md) | ||
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| We are in construction of the instruction for [How to Debug](HowToDebug.md), you are also welcome to contribute questions or suggestions on this area. | ||
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| ## **License** | ||
| The entire codebase is under [MIT license](https://github.com/Microsoft/nni/blob/master/LICENSE) | ||
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| site_name: Neural Network Intelligence | ||
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| nav: | ||
| - Overview: README.md | ||
| - What's New: RELEASE.md | ||
| - Tutorials: | ||
| - QuickStart: GetStarted.md | ||
| - Installation: Installation.md | ||
| - Trial HowTo: howto_1_WriteTrial.md | ||
| - WebUI: WebUI.md | ||
| - Tuners: HowToChooseTuner.md | ||
| - Training Platform: | ||
| - Remote: RemoteMachineMode.md | ||
| - PAI: PAIMode.md | ||
| - Kubeflow: KubeflowMode.md | ||
| - Reference: | ||
| - nnictl: NNICTLDOC.md | ||
| - Configuration: ExperimentConfig.md | ||
| - Search Space: SearchSpaceSpec.md | ||
| - Annotation: AnnotationSpec.md | ||
| - Contribution: | ||
| - Development Setup: SetupNNIDeveloperEnvironment.md | ||
| - Contribution Guide: CONTRIBUTING.md | ||
| - Debug HowTO: HowToDebug.md | ||
| theme: readthedocs |