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This article mainly explains "how to install OneFlow". Interested friends may wish to have a look at it. The method introduced in this paper is simple, fast and practical. Now let the editor take you to learn how to install OneFlow.

What is OneFlow?

OneFlow is open source, designed with a new architecture, and is the world's leading industrial-grade general deep learning framework. Features include:

New experience of distributed training, multi-machine and multi-card is as simple as single machine and single card.

Perfect fit for one-stop platform (k8s + docker)

Native support for oversized models

Near zero runtime overhead, linear speedup

Flexible support for multiple deep learning compilers

Automatic mixing precision

Neutral and open to a wide range of cooperation

Continuous improvement of operator subset and model base

For more references:

The characteristics of OneFlow and the Future of Machine Learning

Github repository of OneFlow official online documents

OneFlow online documentation: http://docs.oneflow.org/

BenchMark Project: https://github.com/Oneflow-Inc/OneFlow-Benchmark

API Project: https://github.com/Oneflow-Inc/oneflow-api

The online documentation not only introduces the design of the OneFlow system, but also includes the following modules:

[home page]

[get started quickly]

[basic topic]

[special topic for expansion]

[advanced application example]

[API]

[OneFlow Open Source Project]

This warehouse contains Chinese documents and English documents, which are stored in the cn and en folders respectively, and the document directory structure tree:

.├── quick_start quickly get started with ├── basics_topics basic topic ├── extended_topics expansion theme ├── code document sample code │ ├── basics_topics │ ├── extended_topics │ └── quick_start ├── adv_examples advanced application example ├── extended_dev Articles to be released └── contribute OneFlow Open Source plans to quickly start installing OneFlow stable release

Install the latest stable version of OneFlow using the following command:

Python3-m pip install-find-links https://oneflow-inc.github.io/nightly oneflow_cu102-user

System requirements:

Python > = 3.5

Nvidia Linux x86 million 64 driver version > = 440.33

If prompted that the corresponding version cannot be found, try upgrading pip:

Python3-m pip install-- upgrade-- user pip installs OneFlow from source code compilation installs OneFlow with legacy CUDA

OneFlow that supports other earlier versions of CUDA can be installed as follows:

Python3-m pip install-find-links https://oneflow-inc.github.io/nightly oneflow_cu101-userpython3-m pip install-find-links https://oneflow-inc.github.io/nightly oneflow_cu100-userpython3-m pip install-find-links https://oneflow-inc.github.io/nightly oneflow_cu92-userpython3-m pip install-find-links https://oneflow-inc.github.io/nightly oneflow_cu91-userpython3-m pip install-find -links https://oneflow-inc.github.io/nightly oneflow_cu90-- userBenchmark

We also provide a series of benchmark models in the Benchmark project, including:

NLP related BERT

CTR related WideDeepLearning

CV-related CNN classification models: Resnet50, VGG-16, Inception-v3, Alexnet

At this point, I believe you have a deeper understanding of "how to install OneFlow". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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