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Taichi removed from ROCm docs [Develop] (#5779)
* Taichi removed from ROCm docs * Warnings fixed
This commit is contained in:
Pratik Basyal
@@ -520,8 +520,6 @@ TPS
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TPU
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TPUs
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TSME
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Taichi
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Taichi's
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Tagram
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TensileLite
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TensorBoard
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@@ -1734,8 +1734,8 @@ HIP runtime has the following functional improvements which improves runtime per
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#### Upcoming changes
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* `__AMDGCN_WAVEFRONT_SIZE__` macro and HIP’s `warpSize` variable as `constexpr` are deprecated and will be disabled in a future release. Users are encouraged to update their code if needed to ensure future compatibility. For more information, see [AMDGCN_WAVEFRONT_SIZE deprecation](#amdgpu-wavefront-size-compiler-macro-deprecation).
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* The `roc-obj-ls` and `roc-obj-extract` tools are deprecated. To extract all Clang offload bundles into separate code objects use `llvm-objdump --offloading <file>`. For more information, see [Changes to ROCm Object Tooling](#changes-to-rocm-object-tooling).
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* `__AMDGCN_WAVEFRONT_SIZE__` macro and HIP’s `warpSize` variable as `constexpr` are deprecated and will be disabled in a future release. Users are encouraged to update their code if needed to ensure future compatibility. For more information, see [AMDGCN_WAVEFRONT_SIZE deprecation](https://rocm.docs.amd.com/en/docs-7.0.0/about/release-notes.html#amdgpu-wavefront-size-compiler-macro-deprecation).
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* The `roc-obj-ls` and `roc-obj-extract` tools are deprecated. To extract all Clang offload bundles into separate code objects use `llvm-objdump --offloading <file>`. For more information, see [Changes to ROCm Object Tooling](https://rocm.docs.amd.com/en/docs-7.0.0/about/release-notes.html#changes-to-rocm-object-tooling).
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### **MIGraphX** (2.13.0)
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@@ -37,7 +37,6 @@ ROCm Version,7.1.1,7.1.0,7.0.2,7.0.1/7.0.0,6.4.3,6.4.2,6.4.1,6.4.0,6.3.3,6.3.2,6
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:doc:`Stanford Megatron-LM <../compatibility/ml-compatibility/stanford-megatron-lm-compatibility>` [#stanford-megatron-lm_compat-past-60]_,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,85f95ae,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
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:doc:`DGL <../compatibility/ml-compatibility/dgl-compatibility>` [#dgl_compat-past-60]_,N/A,N/A,N/A,2.4.0,2.4.0,N/A,N/A,2.4.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
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:doc:`Megablocks <../compatibility/ml-compatibility/megablocks-compatibility>` [#megablocks_compat-past-60]_,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,0.7.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
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:doc:`Taichi <../compatibility/ml-compatibility/taichi-compatibility>` [#taichi_compat-past-60]_,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,1.8.0b1,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
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:doc:`Ray <../compatibility/ml-compatibility/ray-compatibility>` [#ray_compat-past-60]_,N/A,N/A,N/A,N/A,N/A,N/A,2.48.0.post0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
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:doc:`llama.cpp <../compatibility/ml-compatibility/llama-cpp-compatibility>` [#llama-cpp_compat-past-60]_,N/A,N/A,N/A,b6652,b6356,b6356,b6356,b5997,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
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:doc:`FlashInfer <../compatibility/ml-compatibility/flashinfer-compatibility>` [#flashinfer_compat-past-60]_,N/A,N/A,N/A,N/A,N/A,N/A,v0.2.5,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
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@@ -155,8 +155,8 @@ compatibility and system requirements.
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.. rubric:: Footnotes
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.. [#os-compatibility] Some operating systems are supported on limited GPUs. For detailed information, see the latest :ref:`supported_distributions`. For version specific information, see `ROCm 7.1.1 <https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.1.1/reference/system-requirements.html#supported-operating-systems>`_, `ROCm 7.1.0 <https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.1.0/reference/system-requirements.html#supported-operating-systems>`_, and `ROCm 6.4.0 <https://rocm.docs.amd.com/projects/install-on-linux/en/docs-6.4.0/reference/system-requirements.html#supported-operating-systems>`_.
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.. [#gpu-compatibility] Some GPUs have limited operating system support. For detailed information, see the latest :ref:`supported_GPUs`. For version specific information, see `ROCm 7.1.1 <https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.1.1/reference/system-requirements.html#supported-gpus>`_, `ROCm 7.1.0 <https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.1.0/reference/system-requirements.html#supported-gpus>`_, and `ROCm 6.4.0 <https://rocm.docs.amd.com/projects/install-on-linux/en/docs-6.4.0/reference/system-requirements.html#supported-gpus>`_.
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.. [#os-compatibility] Some operating systems are supported on limited GPUs. For detailed information, see the latest :ref:`supported_distributions`. For version specific information, see `ROCm 7.1.1 <https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.1.1/reference/system-requirements.html#supported-operating-systems>`__, `ROCm 7.1.0 <https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.1.0/reference/system-requirements.html#supported-operating-systems>`__, and `ROCm 6.4.0 <https://rocm.docs.amd.com/projects/install-on-linux/en/docs-6.4.0/reference/system-requirements.html#supported-operating-systems>`__.
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.. [#gpu-compatibility] Some GPUs have limited operating system support. For detailed information, see the latest :ref:`supported_GPUs`. For version specific information, see `ROCm 7.1.1 <https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.1.1/reference/system-requirements.html#supported-gpus>`__, `ROCm 7.1.0 <https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.1.0/reference/system-requirements.html#supported-gpus>`__, and `ROCm 6.4.0 <https://rocm.docs.amd.com/projects/install-on-linux/en/docs-6.4.0/reference/system-requirements.html#supported-gpus>`__.
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.. [#dgl_compat] DGL is supported only on ROCm 7.0.0, ROCm 6.4.3 and ROCm 6.4.0.
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.. [#llama-cpp_compat] llama.cpp is supported only on ROCm 7.0.0 and ROCm 6.4.x.
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.. [#mi325x_KVM] For AMD Instinct MI325X KVM SR-IOV users, do not use AMD GPU Driver (amdgpu) 30.20.0.
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@@ -245,7 +245,6 @@ Expand for full historical view of:
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.. [#stanford-megatron-lm_compat-past-60] Stanford Megatron-LM is supported only on ROCm 6.3.0.
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.. [#dgl_compat-past-60] DGL is supported only on ROCm 7.0.0, ROCm 6.4.3 and ROCm 6.4.0.
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.. [#megablocks_compat-past-60] Megablocks is supported only on ROCm 6.3.0.
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.. [#taichi_compat-past-60] Taichi is supported only on ROCm 6.3.2.
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.. [#ray_compat-past-60] Ray is supported only on ROCm 6.4.1.
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.. [#llama-cpp_compat-past-60] llama.cpp is supported only on ROCm 7.0.0 and 6.4.x.
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.. [#flashinfer_compat-past-60] FlashInfer is supported only on ROCm 6.4.1.
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@@ -1,99 +0,0 @@
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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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@@ -111,7 +111,6 @@ article_pages = [
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{"file": "compatibility/ml-compatibility/stanford-megatron-lm-compatibility", "os": ["linux"]},
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{"file": "compatibility/ml-compatibility/dgl-compatibility", "os": ["linux"]},
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{"file": "compatibility/ml-compatibility/megablocks-compatibility", "os": ["linux"]},
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{"file": "compatibility/ml-compatibility/taichi-compatibility", "os": ["linux"]},
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{"file": "compatibility/ml-compatibility/ray-compatibility", "os": ["linux"]},
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{"file": "compatibility/ml-compatibility/llama-cpp-compatibility", "os": ["linux"]},
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{"file": "compatibility/ml-compatibility/flashinfer-compatibility", "os": ["linux"]},
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@@ -32,7 +32,7 @@ library_groups:
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- name: "MIGraphX"
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tag: "migraphx"
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doc_link: "amdmigraphx:reference/cpp"
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doc_link: "amdmigraphx:reference/MIGraphX-cpp"
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data_types:
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- type: "int8"
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support: "⚠️"
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@@ -290,7 +290,7 @@ library_groups:
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- name: "Tensile"
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tag: "tensile"
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doc_link: "tensile:reference/precision-support"
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doc_link: "tensile:src/reference/precision-support"
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data_types:
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- type: "int8"
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support: "✅"
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@@ -100,18 +100,6 @@ The table below summarizes information about ROCm-enabled deep learning framewor
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<a href="https://github.com/ROCm/megablocks"><i class="fab fa-github fa-lg"></i></a>
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* - `Taichi <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/taichi-compatibility.html>`__
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- .. raw:: html
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<a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/taichi-install.html"><i class="fas fa-link fa-lg"></i></a>
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-
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- `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/taichi-install.html#use-a-prebuilt-docker-image-with-taichi-pre-installed>`__
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- `Wheels package <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/taichi-install.html#use-a-wheels-package>`__
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- .. raw:: html
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<a href="https://github.com/ROCm/taichi"><i class="fab fa-github fa-lg"></i></a>
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* - `Ray <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/ray-compatibility.html>`__
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- .. raw:: html
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@@ -47,7 +47,7 @@ What's new
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- Supported architectures: gfx942 and gfx950 (AMD Instinct™ MI300X, MI325X, MI350X, and MI355X).
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- Supported workloads: Wan 2.1, Wan 2.2, HunyuanVideo, and Flux models.
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.. _xdit-video-diffusion-supported-models:
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.. _xdit-video-diffusion-supported-models-2510:
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Supported models
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================
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@@ -145,7 +145,7 @@ run benchmarks and generate outputs.
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.. container:: model-doc {{model.mad_tag}}
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The following commands are written for {{ model.model }}.
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See :ref:`xdit-video-diffusion-supported-models` to switch to another available model.
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See :ref:`xdit-video-diffusion-supported-models-2510` to switch to another available model.
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{% endfor %}
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{% endfor %}
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@@ -43,8 +43,6 @@ subtrees:
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title: DGL compatibility
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- file: compatibility/ml-compatibility/megablocks-compatibility.rst
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title: Megablocks compatibility
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- file: compatibility/ml-compatibility/taichi-compatibility.rst
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title: Taichi compatibility
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- file: compatibility/ml-compatibility/ray-compatibility.rst
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title: Ray compatibility
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- file: compatibility/ml-compatibility/llama-cpp-compatibility.rst
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