base on OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. # OneFlow OneFlow is a deep learning framework designed to be **user-friendly, scalable and efficient**. With OneFlow, it is easy to: - program a model with [**PyTorch-like API**](https://oneflow.readthedocs.io/en/master/) - scale a model to n-dimensional-parallel execution with the [**Global Tensor**](https://docs.oneflow.org/en/master/cookies/global_tensor.html) - accelerate/deploy a model with the [**Graph Compiler**](https://oneflow.readthedocs.io/en/master/graph.html). [](https://github.com/Oneflow-Inc/oneflow/actions/workflows/simple.yml) [](https://github.com/Oneflow-Inc/docker-images/actions/workflows/oneflow-nightly.yml) [](https://github.com/Oneflow-Inc/oneflow/actions/workflows/release.yml) [](https://oneflow.readthedocs.io/en/master/?badge=master) ## Latest News - Version 1.0.0 is out! - [Full changelog](https://github.com/Oneflow-Inc/oneflow/releases/tag/v1.0.0) ## Publication - [OneFlow: Redesign the Distributed Deep Learning Framework from Scratch](https://arxiv.org/abs/2110.15032) ## System Requirements ### General - Linux - Python 3.7, 3.8, 3.9, 3.10, 3.11 ### CUDA - CUDA arch 60 or above - CUDA Toolkit version 10.0 or above - Nvidia driver version 440.33 or above OneFlow will work on a minimum supported driver, and any driver beyond. For more information, please refer to [CUDA compatibility documentation](https://docs.nvidia.com/deploy/cuda-compatibility/index.html). ## Install ### Preinstall docker image ``` docker pull oneflowinc/oneflow:nightly-cuda11.8 ``` ### Pip Install - (**Highly recommended**) Upgrade pip ``` python3 -m pip install --upgrade pip #--user ``` - To install latest stable release of OneFlow with CUDA support: ```bash python3 -m pip install oneflow ``` - To install nightly release of OneFlow with CPU-only support: ```bash python3 -m pip install --pre oneflow -f https://oneflow-staging.oss-cn-beijing.aliyuncs.com/branch/master/cpu ``` - To install nightly release of OneFlow with CUDA support: ```bash python3 -m pip install --pre oneflow -f https://oneflow-staging.oss-cn-beijing.aliyuncs.com/branch/master/cu118 ``` If you are in China, you could run this to have pip download packages from domestic mirror of pypi: ``` python3 -m pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple ``` For more information on this, please refer to [pypi 镜像使用帮助](https://mirror.tuna.tsinghua.edu.cn/help/pypi/) ### Install from Source <details> <summary>Clone Source Code</summary> - #### Option 1: Clone source code from GitHub ```bash git clone https://github.com/Oneflow-Inc/oneflow.git ``` - #### Option 2: Download from Aliyun(Only available in China) ```bash curl https://oneflow-public.oss-cn-beijing.aliyuncs.com/oneflow-src.zip -o oneflow-src.zip unzip oneflow-src.zip ``` </details> <details> <summary>Build OneFlow</summary> - Install dependencies ``` apt install -y libopenblas-dev nasm g++ gcc python3-pip cmake autoconf libtool ``` These dependencies are preinstalled in offical conda environment and docker image, you can use the offical conda environment [here](https://github.com/Oneflow-Inc/conda-env) or use the docker image by: ```bash docker pull oneflowinc/manylinux2014_x86_64_cuda11.2 ``` - In the root directory of OneFlow source code, run: ``` mkdir build cd build ``` - Config the project, inside `build` directory: - If you are in China config for CPU-only like this: ``` cmake .. -C ../cmake/caches/cn/cpu.cmake ``` config for CUDA like this: ``` cmake .. -C ../cmake/caches/cn/cuda.cmake -DCMAKE_CUDA_ARCHITECTURES=80 -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda -DCUDNN_ROOT_DIR=/usr/local/cudnn ``` - If you are not in China config for CPU-only like this: ``` cmake .. -C ../cmake/caches/international/cpu.cmake ``` config for CUDA like this: ``` cmake .. -C ../cmake/caches/international/cuda.cmake -DCMAKE_CUDA_ARCHITECTURES=80 -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda -DCUDNN_ROOT_DIR=/usr/local/cudnn ``` Here the DCMAKE\_CUDA\_ARCHITECTURES macro is used to specify the CUDA architecture, and the DCUDA\_TOOLKIT\_ROOT\_DIR and DCUDNN\_ROOT\_DIR macros are used to specify the root path of the CUDA Toolkit and CUDNN. - Build the project, inside `build` directory, run: ``` make -j$(nproc) ``` - Add oneflow to your PYTHONPATH, inside `build` directory, run: ``` source source.sh ``` Please note that this change is not permanent. - Simple validation ``` python3 -m oneflow --doctor ``` </details> ### Troubleshooting Please refer to [troubleshooting](docs/source/troubleshooting.md) for common issues you might encounter when compiling and running OneFlow. ## Getting Started - Please refer to [QUICKSTART](https://docs.oneflow.org/en/master/basics/01_quickstart.html) - 中文版请参见 [快速上手](https://docs.oneflow.org/master/basics/01_quickstart.html) ## Documentation - [API Reference](https://oneflow.readthedocs.io/en/master/) - [Usage & Design Docs](http://docs.oneflow.org/) - [System Design](https://docs.oneflow.org/en/v0.4.0/basics_topics/essentials_of_oneflow.html) ## Model Zoo and Benchmark - [Libai(Toolbox for Parallel Training Large-Scale Transformer Models)](https://github.com/Oneflow-Inc/libai) - [BERT-large](https://libai.readthedocs.io/en/latest/tutorials/get_started/quick_run.html) - [GPT](https://libai.readthedocs.io/en/latest/modules/libai.models.html#id5) - [T5](https://libai.readthedocs.io/en/latest/modules/libai.models.html#id4) - [VisionTransformer](https://libai.readthedocs.io/en/latest/modules/libai.models.html#id1) - [SwinTransformer](https://libai.readthedocs.io/en/latest/modules/libai.models.html#id2) - [FlowVision(Toolbox for Computer Vision Datasets, SOTA Models and Utils)](https://github.com/Oneflow-Inc/vision) - [OneFlow-Models(Outdated)](https://github.com/Oneflow-Inc/models) - [ResNet-50](https://github.com/Oneflow-Inc/models/tree/main/Vision/classification/image/resnet50) - [Wide&Deep](https://github.com/Oneflow-Inc/models/tree/main/RecommenderSystems/wide_and_deep) - [OneFlow-Benchmark(Outdated)](https://github.com/Oneflow-Inc/OneFlow-Benchmark) ## Communication - [GitHub issues](https://github.com/Oneflow-Inc/oneflow/issues): any install, bug, feature issues. - [www.oneflow.org](http://www.oneflow.org): brand related information. - ### 中文 - QQ 群: 331883 - 微信号（加好友入交流群）: OneFlowXZS - [知乎](https://www.zhihu.com/org/oneflow-17) - ### International - [Discord](https://discord.gg/4kpjGA5bZY) - [Twitter](https://twitter.com/OneFlowNews) - [LinkedIn](https://www.linkedin.com/company/oneflow-inc) - [Medium](https://oneflow2020.medium.com) ## The Team OneFlow was originally developed by [OneFlow Inc](http://www.oneflow.org) and [Zhejiang Lab](http://www.zhejianglab.com/). ## License [Apache License 2.0](LICENSE) ", Assign "at most 3 tags" to the expected json: {"id":"13670","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"