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7.0.0 Taichi removed (#5800)
This commit is contained in:
Pratik Basyal
@@ -496,8 +496,6 @@ 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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@@ -653,8 +653,8 @@ 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,7.0.0,6.4.3,6.4.2,6.4.1,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6
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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,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,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,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,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,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]_,b6356,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,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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@@ -178,7 +178,6 @@ compatibility and system requirements.
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.. [#stanford-megatron-lm_compat] Stanford Megatron-LM is only supported on ROCm 6.3.0.
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.. [#megablocks_compat] Megablocks is only supported on ROCm 6.3.0.
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.. [#llama-cpp_compat] llama.cpp is only supported on ROCm 7.0.0 and 6.4.x.
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.. [#driver_patch] AMD GPU Driver (amdgpu) 30.10.1 is a quality release that resolves an issue identified in the 30.10 release. There are no other significant changes or feature additions in ROCm 7.0.1 from ROCm 7.0.0. AMD GPU Driver (amdgpu) 30.10.1 is compatible with ROCm 7.0.1 and ROCm 7.0.0.
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.. [#kfd_support] As of ROCm 6.4.0, forward and backward compatibility between the AMD GPU Driver (amdgpu) and its user space software is provided up to a year apart. For earlier ROCm releases, the compatibility is provided for +/- 2 releases. The supported user space versions on this page were accurate as of the time of initial ROCm release. For the most up-to-date information, see the latest version of this information at `User and AMD GPU Driver support matrix <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/user-kernel-space-compat-matrix.html>`_.
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.. [#ROCT-rocr] Starting from ROCm 6.3.0, the ROCT Thunk Interface is included as part of the ROCr runtime package.
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@@ -284,11 +283,9 @@ Expand for full historical view of:
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.. [#stanford-megatron-lm_compat-past-60] Stanford Megatron-LM is only supported on ROCm 6.3.0.
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.. [#dgl_compat-past-60] DGL is only supported on ROCm 6.4.0.
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.. [#megablocks_compat-past-60] Megablocks is only supported on ROCm 6.3.0.
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.. [#taichi_compat-past-60] Taichi is only supported on ROCm 6.3.2.
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.. [#ray_compat-past-60] Ray is only supported on ROCm 6.4.1.
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.. [#llama-cpp_compat-past-60] llama.cpp is only supported on ROCm 7.0.0 and 6.4.x.
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.. [#flashinfer_compat-past-60] FlashInfer is only supported on ROCm 6.4.1.
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.. [#driver_patch-past-60] AMD GPU Driver (amdgpu) 30.10.1 is a quality release that resolves an issue identified in the 30.10 release. There are no other significant changes or feature additions in ROCm 7.0.1 from ROCm 7.0.0. AMD GPU Driver (amdgpu) 30.10.1 is compatible with ROCm 7.0.1 and ROCm 7.0.0.
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.. [#kfd_support-past-60] As of ROCm 6.4.0, forward and backward compatibility between the AMD GPU Driver (amdgpu) and its user space software is provided up to a year apart. For earlier ROCm releases, the compatibility is provided for +/- 2 releases. The supported user space versions on this page were accurate as of the time of initial ROCm release. For the most up-to-date information, see the latest version of this information at `User and AMD GPU Driver support matrix <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/user-kernel-space-compat-matrix.html>`_.
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.. [#ROCT-rocr-past-60] Starting from ROCm 6.3.0, the ROCT Thunk Interface is included as part of the ROCr runtime package.
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@@ -1,76 +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 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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* ROCm support for Taichi is hosted in the official `https://github.com/ROCm/taichi <https://github.com/ROCm/taichi>`_ repository.
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* Due to independent compatibility considerations, this location differs from the `https://github.com/taichi-dev <https://github.com/taichi-dev>`_ upstream repository.
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* Use the prebuilt :ref:`Docker image <taichi-docker-compat>` with ROCm, PyTorch, and Taichi preinstalled.
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* See the :doc:`ROCm Taichi installation guide <rocm-install-on-linux:install/3rd-party/taichi-install>` to install and get started.
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.. note::
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Taichi is supported on ROCm 6.3.2.
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Supported devices and features
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===============================================================================
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There is support through the ROCm software stack for all Taichi GPU features on AMD Instinct MI250X and MI210X series GPUs with the exception of Taichi’s GPU rendering system, CGUI.
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AMD Instinct MI300X series GPUs will be supported by November.
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.. _taichi-recommendations:
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Use cases and recommendations
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================================================================================
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To fully leverage Taichi's performance capabilities in compute-intensive tasks, it is best to adhere to specific coding patterns and utilize Taichi decorators.
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A collection of example use cases is available in the `https://github.com/ROCm/taichi_examples <https://github.com/ROCm/taichi_examples>`_ repository,
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providing practical insights and foundational knowledge for working with the Taichi programming language.
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You can also refer to the `AMD ROCm blog <https://rocm.blogs.amd.com/>`_ to search for Taichi examples and best practices to optimize your workflows on AMD GPUs.
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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 tags and associated inventories
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represent the latest Taichi version from the official Docker Hub.
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The Docker images have been validated for `ROCm 6.3.2 <https://rocm.docs.amd.com/en/docs-6.3.2/about/release-notes.html>`_.
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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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@@ -107,7 +107,6 @@ 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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@@ -98,18 +98,6 @@ 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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@@ -93,7 +93,7 @@ The following table shows whether a ROCm library is graph-safe.
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- ⚠️ (experimental)
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*
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- `rocThrust <https://github.com/ROCm/rocThrust>`_
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- ❌ (see :doc:`details <rocthrust:hipgraph-support>`)
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- ❌ (see :doc:`details <rocthrust:reference/rocThrust-hipgraph-support>`)
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*
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- `rocWMMA <https://github.com/ROCm/rocWMMA>`_
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- ❌
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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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