# test **Repository Path**: sunzibo/test ## Basic Information - **Project Name**: test - **Description**: No description available - **Primary Language**: C++ - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-10-29 - **Last Updated**: 2023-01-15 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

Tutorial | Examples | Forum

Documentation | 简体中文文档 | Contributor Guidelines

[![Postsubmit Checks](https://github.com/taichi-dev/taichi/actions/workflows/postsubmit.yml/badge.svg)](https://github.com/taichi-dev/taichi/actions/workflows/postsubmit.yml) [![Docker Cloud Build Status](https://img.shields.io/docker/cloud/build/taichidev/taichi?label=Docker%20Image&logo=docker)](https://hub.docker.com/r/taichidev/taichi) [![Python Codecov Status](https://img.shields.io/codecov/c/github/taichi-dev/taichi?label=Python%20Coverage&logo=codecov)](https://codecov.io/gh/taichi-dev/taichi/src/master) [![Latest Release](https://img.shields.io/github/v/release/taichi-dev/taichi?color=blue&label=Latest%20Release)](https://github.com/taichi-dev/taichi/releases/latest) [![Netlify Status](https://api.netlify.com/api/v1/badges/6825e411-c5f7-4148-ab43-023663f41b6a/deploy-status)](https://app.netlify.com/sites/docs-taichi-graphics/deploys) ## Overview **Taichi** (太极) is a parallel programming language for high-performance numerical computations. It is embedded in **Python**, and its **just-in-time compiler** offloads compute-intensive tasks to multi-core CPUs and massively parallel GPUs. Advanced features of Taichi include [spatially sparse computing](https://docs.taichi.graphics/lang/articles/advanced/sparse), [differentiable programming](https://docs.taichi.graphics/lang/articles/advanced/differentiable_programming) [[examples]](https://github.com/yuanming-hu/difftaichi), and [quantized computation](https://github.com/taichi-dev/quantaichi). **Please check out our SIGGRAPH 2020 course on Taichi basics:** [YouTube](https://youtu.be/Y0-76n3aZFA), [Bilibili](https://www.bilibili.com/video/BV1kA411n7jk/), [slides (pdf)](https://yuanming.taichi.graphics/publication/2020-taichi-tutorial/taichi-tutorial.pdf). **中文视频教程:** [[哔哩哔哩]](https://www.bilibili.com/video/BV1gA411j7H5), [[幻灯片]](https://yuanming.taichi.graphics/publication/2020-taichi-tutorial/taichi-tutorial.pdf) ## Examples ([More...](misc/examples.md)) ## Installation [![Downloads](https://pepy.tech/badge/taichi)](https://pepy.tech/project/taichi) ```bash python3 -m pip install taichi ``` **Supported OS**: Windows, Linux, Mac OS X; **Python**: 3.6-3.9 (64-bit only); **Backends**: x64 CPUs, CUDA, Apple Metal, Vulkan, OpenGL Compute Shaders. Please build from source for other configurations (e.g., your CPU is ARM, or you want to try out our experimental C backend). **Note:** - The PyPI package supports x64 CPU, CUDA 10/11, Metal, Vulkan and OpenGL Compute Shader backends. - On Windows, please install [Microsoft Visual C++ Redistributable](https://aka.ms/vs/16/release/vc_redist.x64.exe) if you haven't. - [[All releases]](https://github.com/taichi-dev/taichi/releases) ## Developer Installation Please follow [this doc](https://docs.taichi.graphics/lang/articles/contribution/dev_install) to learn how to build Taichi from source. Note that Taichi requires LLVM-10.0.0, and it is recommneded to use [our prebuilt LLVM libraries](https://docs.taichi.graphics/lang/articles/contribution/dev_install#installing-dependencies) for each platform. ## Contributors *Note: contributor avatars above are randomly shuffled.* ------------------------------- We welcome feedback and comments. If you would like to contribute to Taichi, please check out our [Contributor Guidelines](https://docs.taichi.graphics/lang/articles/contribution/contributor_guide). If you use Taichi in your research, please cite related papers: - [**(SIGGRAPH Asia 2019) Taichi: High-Performance Computation on Sparse Data Structures**](https://yuanming.taichi.graphics/publication/2019-taichi/taichi-lang.pdf) [[Video]](https://youtu.be/wKw8LMF3Djo) [[BibTex]](https://raw.githubusercontent.com/taichi-dev/taichi/master/misc/taichi_bibtex.txt) [[Code]](https://github.com/taichi-dev/taichi) - [**(ICLR 2020) DiffTaichi: Differentiable Programming for Physical Simulation**](https://arxiv.org/abs/1910.00935) [[Video]](https://www.youtube.com/watch?v=Z1xvAZve9aE) [[BibTex]](https://raw.githubusercontent.com/taichi-dev/taichi/master/misc/difftaichi_bibtex.txt) [[Code]](https://github.com/yuanming-hu/difftaichi) - [**(SIGGRAPH 2021) QuanTaichi: A Compiler for Quantized Simulations**](https://yuanming.taichi.graphics/publication/2021-quantaichi/quantaichi.pdf) [[Video]](https://www.youtube.com/watch?v=0jdrAQOxJlY) [[BibTex]](https://raw.githubusercontent.com/taichi-dev/taichi/master/misc/quantaichi_bibtex.txt) [[Code]](https://github.com/taichi-dev/quantaichi) ## Links - [TaichiCon](https://github.com/taichi-dev/taichicon): Taichi developer conferences. - [GAMES 201 Lectures](https://github.com/taichi-dev/games201): (Chinese) A hands-on course on building advanced physics engines, based on Taichi. - [TaichiZoo](https://zoo.taichi.graphics): Running Taichi code in your browser [1](#zoo-disclaimer). - [加入太极图形](https://app.mokahr.com/apply/taichi/41024#/). - [太极图形课](https://github.com/taichiCourse01). - [More...](misc/links.md) ## Security Please disclose security issues responsibly to security@taichi.graphics. --- 1. TaichiZoo is still in its Beta version. If you've encountered any issue, please do not hesitate to [file a bug](https://github.com/taichi-dev/taichi-zoo-issue-tracker/issues/new/choose).