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* Taichi removed from ROCm docs * Warnings fixed
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Pratik Basyal
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:orphan:
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.. meta::
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:description: Taichi compatibility
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:keywords: GPU, Taichi, deep learning, framework compatibility
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.. version-set:: rocm_version latest
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*******************************************************************************
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Taichi compatibility
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*******************************************************************************
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`Taichi <https://www.taichi-lang.org/>`_ is an open-source, imperative, and parallel
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programming language designed for high-performance numerical computation.
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Embedded in Python, it leverages just-in-time (JIT) compilation frameworks such as LLVM to accelerate
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compute-intensive Python code by compiling it to native GPU or CPU instructions.
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Taichi is widely used across various domains, including real-time physical simulation,
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numerical computing, augmented reality, artificial intelligence, computer vision, robotics,
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visual effects in film and gaming, and general-purpose computing.
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Support overview
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================================================================================
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- The ROCm-supported version of Taichi is maintained in the official `https://github.com/ROCm/taichi
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<https://github.com/ROCm/taichi>`__ repository, which differs from the
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`https://github.com/taichi-dev/taichi <https://github.com/taichi-dev/taichi>`__ upstream repository.
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- To get started and install Taichi on ROCm, use the prebuilt :ref:`Docker image <taichi-docker-compat>`,
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which includes ROCm, Taichi, and all required dependencies.
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- See the :doc:`ROCm Taichi installation guide <rocm-install-on-linux:install/3rd-party/taichi-install>`
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for installation and setup instructions.
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- You can also consult the upstream `Installation guide <https://github.com/taichi-dev/taichi>`__
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for additional context.
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Version support
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--------------------------------------------------------------------------------
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Taichi is supported on `ROCm 6.3.2 <https://repo.radeon.com/rocm/apt/6.3.2/>`__.
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Supported devices
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--------------------------------------------------------------------------------
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- **Officially Supported**: AMD Instinct™ MI250X, MI210X (with the exception of Taichi’s GPU rendering system, CGUI)
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- **Upcoming Support**: AMD Instinct™ MI300X
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.. _taichi-recommendations:
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Use cases and recommendations
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================================================================================
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* The `Accelerating Parallel Programming in Python with Taichi Lang on AMD GPUs
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<https://rocm.blogs.amd.com/artificial-intelligence/taichi/README.html>`__
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blog highlights Taichi as an open-source programming language designed for high-performance
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numerical computation, particularly in domains like real-time physical simulation,
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artificial intelligence, computer vision, robotics, and visual effects. Taichi
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is embedded in Python and uses just-in-time (JIT) compilation frameworks like
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LLVM to optimize execution on GPUs and CPUs. The blog emphasizes the versatility
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of Taichi in enabling complex simulations and numerical algorithms, making
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it ideal for developers working on compute-intensive tasks. Developers are
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encouraged to follow recommended coding patterns and utilize Taichi decorators
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for performance optimization, with examples available in the `https://github.com/ROCm/taichi_examples
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<https://github.com/ROCm/taichi_examples>`_ repository. Prebuilt Docker images
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integrating ROCm, PyTorch, and Taichi are provided for simplified installation
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and deployment, making it easier to leverage Taichi for advanced computational workloads.
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.. _taichi-docker-compat:
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Docker image compatibility
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================================================================================
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.. |docker-icon| raw:: html
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<i class="fab fa-docker"></i>
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AMD validates and publishes ready-made `ROCm Taichi Docker images <https://hub.docker.com/r/rocm/taichi/tags>`_
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with ROCm backends on Docker Hub. The following Docker image tag and associated inventories
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represent the latest Taichi version from the official Docker Hub.
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Click |docker-icon| to view the image on Docker Hub.
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.. list-table::
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:header-rows: 1
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:class: docker-image-compatibility
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* - Docker image
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- ROCm
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- Taichi
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- Ubuntu
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- Python
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* - .. raw:: html
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<a href="https://hub.docker.com/layers/rocm/taichi/taichi-1.8.0b1_rocm6.3.2_ubuntu22.04_py3.10.12/images/sha256-e016964a751e6a92199032d23e70fa3a564fff8555afe85cd718f8aa63f11fc6"><i class="fab fa-docker fa-lg"></i> rocm/taichi</a>
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- `6.3.2 <https://repo.radeon.com/rocm/apt/6.3.2/>`_
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- `1.8.0b1 <https://github.com/taichi-dev/taichi>`_
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- 22.04
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- `3.10.12 <https://www.python.org/downloads/release/python-31012/>`_
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