mirror of
https://github.com/ROCm/ROCm.git
synced 2026-01-20 20:18:15 -05:00
Compare commits
1 Commits
deep-710
...
env_var_7.
| Author | SHA1 | Date | |
|---|---|---|---|
|
9f5d3d67a9 |
@@ -36,7 +36,6 @@ Andrej
|
||||
Arb
|
||||
Autocast
|
||||
autograd
|
||||
Backported
|
||||
BARs
|
||||
BatchNorm
|
||||
BLAS
|
||||
@@ -202,11 +201,9 @@ GenAI
|
||||
GenZ
|
||||
GitHub
|
||||
Gitpod
|
||||
hardcoded
|
||||
HBM
|
||||
HCA
|
||||
HGX
|
||||
HLO
|
||||
HIPCC
|
||||
hipDataType
|
||||
HIPExtension
|
||||
@@ -330,7 +327,6 @@ MoEs
|
||||
Mooncake
|
||||
Mpops
|
||||
Multicore
|
||||
multihost
|
||||
Multithreaded
|
||||
MXFP
|
||||
MyEnvironment
|
||||
@@ -518,6 +514,8 @@ TPS
|
||||
TPU
|
||||
TPUs
|
||||
TSME
|
||||
Taichi
|
||||
Taichi's
|
||||
Tagram
|
||||
TensileLite
|
||||
TensorBoard
|
||||
@@ -1019,7 +1017,6 @@ uncacheable
|
||||
uncorrectable
|
||||
underoptimized
|
||||
unhandled
|
||||
unfused
|
||||
uninstallation
|
||||
unmapped
|
||||
unsqueeze
|
||||
|
||||
@@ -1546,8 +1546,8 @@ HIP runtime has the following functional improvements which improves runtime per
|
||||
|
||||
#### Upcoming changes
|
||||
|
||||
* `__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).
|
||||
* 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).
|
||||
* `__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).
|
||||
* 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).
|
||||
|
||||
### **MIGraphX** (2.13.0)
|
||||
|
||||
|
||||
@@ -1481,7 +1481,7 @@ issues related to individual components, review the [Detailed component changes]
|
||||
|
||||
### MIGraphX Python API will fail when running on Python 3.13
|
||||
|
||||
Applications using the MIGraphX Python API will fail when running on Python 3.13 and return the error message `AttributeError: module 'migraphx' has no attribute 'parse_onnx'`. The issue doesn't occur when you manually build MIGraphX. For detailed instructions, see [Building from source](https://rocm.docs.amd.com/projects/AMDMIGraphX/en/latest/install/install-migraphx.html#build-migraphx-from-source). As a workaround, change the Python version to the one found in the installed location:
|
||||
Applications using the MIGraphX Python API will fail when running on Python 3.13 and return the error message `AttributeError: module 'migraphx' has no attribute 'parse_onnx'`. The issue doesn't occur when you manually build MIGraphX. For detailed instructions, see [Building from source](https://rocm.docs.amd.com/projects/AMDMIGraphX/en/latest/install/building_migraphx.html). As a workaround, change the Python version to the one found in the installed location:
|
||||
|
||||
```
|
||||
ls -l /opt/rocm-7.1.0/lib/libmigraphx_py_*.so
|
||||
|
||||
@@ -37,6 +37,7 @@ ROCm Version,7.1.0,7.0.2,7.0.1/7.0.0,6.4.3,6.4.2,6.4.1,6.4.0,6.3.3,6.3.2,6.3.1,6
|
||||
: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,85f95ae,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
|
||||
:doc:`DGL <../compatibility/ml-compatibility/dgl-compatibility>` [#dgl_compat-past-60]_,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
|
||||
: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,0.7.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
|
||||
: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,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
|
||||
:doc:`Ray <../compatibility/ml-compatibility/ray-compatibility>` [#ray_compat-past-60]_,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
|
||||
:doc:`llama.cpp <../compatibility/ml-compatibility/llama-cpp-compatibility>` [#llama-cpp_compat-past-60]_,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
|
||||
:doc:`FlashInfer <../compatibility/ml-compatibility/flashinfer-compatibility>` [#flashinfer_compat-past-60]_,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
|
||||
|
||||
|
@@ -306,6 +306,7 @@ Expand for full historical view of:
|
||||
.. [#stanford-megatron-lm_compat-past-60] Stanford Megatron-LM is supported only on ROCm 6.3.0.
|
||||
.. [#dgl_compat-past-60] DGL is supported only on ROCm 7.0.0, ROCm 6.4.3 and ROCm 6.4.0.
|
||||
.. [#megablocks_compat-past-60] Megablocks is supported only on ROCm 6.3.0.
|
||||
.. [#taichi_compat-past-60] Taichi is supported only on ROCm 6.3.2.
|
||||
.. [#ray_compat-past-60] Ray is supported only on ROCm 6.4.1.
|
||||
.. [#llama-cpp_compat-past-60] llama.cpp is supported only on ROCm 7.0.0 and 6.4.x.
|
||||
.. [#flashinfer_compat-past-60] FlashInfer is supported only on ROCm 6.4.1.
|
||||
|
||||
@@ -269,33 +269,6 @@ For a complete and up-to-date list of JAX public modules (for example, ``jax.num
|
||||
JAX API modules are maintained by the JAX project and is subject to change.
|
||||
Refer to the official Jax documentation for the most up-to-date information.
|
||||
|
||||
Key features and enhancements for ROCm 7.1
|
||||
===============================================================================
|
||||
|
||||
- Enabled compilation of multihost HLO runner Python bindings.
|
||||
|
||||
- Backported multihost HLO runner bindings and some related changes to
|
||||
:code:`FunctionalHloRunner`.
|
||||
|
||||
- Added :code:`requirements_lock_3_12` to enable building for Python 3.12.
|
||||
|
||||
- Removed hardcoded NHWC convolution layout for ``fp16`` precision to address the performance drops for ``fp16`` precision on gfx12xx GPUs.
|
||||
|
||||
|
||||
- ROCprofiler-SDK integration:
|
||||
|
||||
- Integrated ROCprofiler-SDK (v3) to XLA to improve profiling of GPU events,
|
||||
support both time-based and step-based profiling.
|
||||
|
||||
- Added unit tests for :code:`rocm_collector` and :code:`rocm_tracer`.
|
||||
|
||||
- Added Triton unsupported conversion from ``f8E4M3FNUZ`` to ``fp16`` with
|
||||
rounding mode.
|
||||
|
||||
- Introduced :code:`CudnnFusedConvDecomposer` to revert fused convolutions
|
||||
when :code:`ConvAlgorithmPicker` fails to find a fused algorithm, and removed
|
||||
unfused fallback paths from :code:`RocmFusedConvRunner`.
|
||||
|
||||
Key features and enhancements for ROCm 7.0
|
||||
===============================================================================
|
||||
|
||||
|
||||
99
docs/compatibility/ml-compatibility/taichi-compatibility.rst
Normal file
99
docs/compatibility/ml-compatibility/taichi-compatibility.rst
Normal file
@@ -0,0 +1,99 @@
|
||||
:orphan:
|
||||
|
||||
.. meta::
|
||||
:description: Taichi compatibility
|
||||
:keywords: GPU, Taichi, deep learning, framework compatibility
|
||||
|
||||
.. version-set:: rocm_version latest
|
||||
|
||||
*******************************************************************************
|
||||
Taichi compatibility
|
||||
*******************************************************************************
|
||||
|
||||
`Taichi <https://www.taichi-lang.org/>`_ is an open-source, imperative, and parallel
|
||||
programming language designed for high-performance numerical computation.
|
||||
Embedded in Python, it leverages just-in-time (JIT) compilation frameworks such as LLVM to accelerate
|
||||
compute-intensive Python code by compiling it to native GPU or CPU instructions.
|
||||
|
||||
Taichi is widely used across various domains, including real-time physical simulation,
|
||||
numerical computing, augmented reality, artificial intelligence, computer vision, robotics,
|
||||
visual effects in film and gaming, and general-purpose computing.
|
||||
|
||||
Support overview
|
||||
================================================================================
|
||||
|
||||
- The ROCm-supported version of Taichi is maintained in the official `https://github.com/ROCm/taichi
|
||||
<https://github.com/ROCm/taichi>`__ repository, which differs from the
|
||||
`https://github.com/taichi-dev/taichi <https://github.com/taichi-dev/taichi>`__ upstream repository.
|
||||
|
||||
- To get started and install Taichi on ROCm, use the prebuilt :ref:`Docker image <taichi-docker-compat>`,
|
||||
which includes ROCm, Taichi, and all required dependencies.
|
||||
|
||||
- See the :doc:`ROCm Taichi installation guide <rocm-install-on-linux:install/3rd-party/taichi-install>`
|
||||
for installation and setup instructions.
|
||||
|
||||
- You can also consult the upstream `Installation guide <https://github.com/taichi-dev/taichi>`__
|
||||
for additional context.
|
||||
|
||||
Version support
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
Taichi is supported on `ROCm 6.3.2 <https://repo.radeon.com/rocm/apt/6.3.2/>`__.
|
||||
|
||||
Supported devices
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
- **Officially Supported**: AMD Instinct™ MI250X, MI210X (with the exception of Taichi’s GPU rendering system, CGUI)
|
||||
- **Upcoming Support**: AMD Instinct™ MI300X
|
||||
|
||||
.. _taichi-recommendations:
|
||||
|
||||
Use cases and recommendations
|
||||
================================================================================
|
||||
|
||||
* The `Accelerating Parallel Programming in Python with Taichi Lang on AMD GPUs
|
||||
<https://rocm.blogs.amd.com/artificial-intelligence/taichi/README.html>`__
|
||||
blog highlights Taichi as an open-source programming language designed for high-performance
|
||||
numerical computation, particularly in domains like real-time physical simulation,
|
||||
artificial intelligence, computer vision, robotics, and visual effects. Taichi
|
||||
is embedded in Python and uses just-in-time (JIT) compilation frameworks like
|
||||
LLVM to optimize execution on GPUs and CPUs. The blog emphasizes the versatility
|
||||
of Taichi in enabling complex simulations and numerical algorithms, making
|
||||
it ideal for developers working on compute-intensive tasks. Developers are
|
||||
encouraged to follow recommended coding patterns and utilize Taichi decorators
|
||||
for performance optimization, with examples available in the `https://github.com/ROCm/taichi_examples
|
||||
<https://github.com/ROCm/taichi_examples>`_ repository. Prebuilt Docker images
|
||||
integrating ROCm, PyTorch, and Taichi are provided for simplified installation
|
||||
and deployment, making it easier to leverage Taichi for advanced computational workloads.
|
||||
|
||||
.. _taichi-docker-compat:
|
||||
|
||||
Docker image compatibility
|
||||
================================================================================
|
||||
|
||||
.. |docker-icon| raw:: html
|
||||
|
||||
<i class="fab fa-docker"></i>
|
||||
|
||||
AMD validates and publishes ready-made `ROCm Taichi Docker images <https://hub.docker.com/r/rocm/taichi/tags>`_
|
||||
with ROCm backends on Docker Hub. The following Docker image tag and associated inventories
|
||||
represent the latest Taichi version from the official Docker Hub.
|
||||
Click |docker-icon| to view the image on Docker Hub.
|
||||
|
||||
.. list-table::
|
||||
:header-rows: 1
|
||||
:class: docker-image-compatibility
|
||||
|
||||
* - Docker image
|
||||
- ROCm
|
||||
- Taichi
|
||||
- Ubuntu
|
||||
- Python
|
||||
|
||||
* - .. raw:: html
|
||||
|
||||
<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>
|
||||
- `6.3.2 <https://repo.radeon.com/rocm/apt/6.3.2/>`_
|
||||
- `1.8.0b1 <https://github.com/taichi-dev/taichi>`_
|
||||
- 22.04
|
||||
- `3.10.12 <https://www.python.org/downloads/release/python-31012/>`_
|
||||
@@ -111,6 +111,7 @@ article_pages = [
|
||||
{"file": "compatibility/ml-compatibility/stanford-megatron-lm-compatibility", "os": ["linux"]},
|
||||
{"file": "compatibility/ml-compatibility/dgl-compatibility", "os": ["linux"]},
|
||||
{"file": "compatibility/ml-compatibility/megablocks-compatibility", "os": ["linux"]},
|
||||
{"file": "compatibility/ml-compatibility/taichi-compatibility", "os": ["linux"]},
|
||||
{"file": "compatibility/ml-compatibility/ray-compatibility", "os": ["linux"]},
|
||||
{"file": "compatibility/ml-compatibility/llama-cpp-compatibility", "os": ["linux"]},
|
||||
{"file": "compatibility/ml-compatibility/flashinfer-compatibility", "os": ["linux"]},
|
||||
|
||||
@@ -32,7 +32,7 @@ library_groups:
|
||||
|
||||
- name: "MIGraphX"
|
||||
tag: "migraphx"
|
||||
doc_link: "amdmigraphx:reference/MIGraphX-cpp"
|
||||
doc_link: "amdmigraphx:reference/cpp"
|
||||
data_types:
|
||||
- type: "int8"
|
||||
support: "⚠️"
|
||||
@@ -290,7 +290,7 @@ library_groups:
|
||||
|
||||
- name: "Tensile"
|
||||
tag: "tensile"
|
||||
doc_link: "tensile:src/reference/precision-support"
|
||||
doc_link: "tensile:reference/precision-support"
|
||||
data_types:
|
||||
- type: "int8"
|
||||
support: "✅"
|
||||
|
||||
@@ -19,95 +19,129 @@ The table below summarizes information about ROCm-enabled deep learning framewor
|
||||
:widths: 5 3 6 3
|
||||
|
||||
* - Framework
|
||||
- Installation guide
|
||||
- Installation
|
||||
- Installation options
|
||||
- GitHub
|
||||
|
||||
* - :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`
|
||||
- :doc:`link <rocm-install-on-linux:install/3rd-party/pytorch-install>`
|
||||
* - `PyTorch <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/pytorch-compatibility.html>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/pytorch-install.html"><i class="fas fa-link fa-lg"></i></a>
|
||||
-
|
||||
- Docker image
|
||||
- Wheels package
|
||||
- ROCm Base Docker image
|
||||
- Upstream Docker file
|
||||
- `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/pytorch-install.html#using-a-docker-image-with-pytorch-pre-installed>`__
|
||||
- `Wheels package <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/pytorch-install.html#using-a-wheels-package>`__
|
||||
- `ROCm Base Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/pytorch-install.html#using-the-pytorch-rocm-base-docker-image>`__
|
||||
- `Upstream Docker file <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/pytorch-install.html#using-the-pytorch-upstream-dockerfile>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://github.com/ROCm/pytorch"><i class="fab fa-github fa-lg"></i></a>
|
||||
|
||||
* - :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`
|
||||
- :doc:`link <rocm-install-on-linux:install/3rd-party/tensorflow-install>`
|
||||
* - `TensorFlow <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/tensorflow-compatibility.html>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/tensorflow-install.html"><i class="fas fa-link fa-lg"></i></a>
|
||||
-
|
||||
- Docker image
|
||||
- Wheels package
|
||||
- `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/tensorflow-install.html#using-a-docker-image-with-tensorflow-pre-installed>`__
|
||||
- `Wheels package <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/tensorflow-install.html#using-a-wheels-package>`__
|
||||
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://github.com/ROCm/tensorflow-upstream"><i class="fab fa-github fa-lg"></i></a>
|
||||
|
||||
* - :doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`
|
||||
- :doc:`link <rocm-install-on-linux:install/3rd-party/jax-install>`
|
||||
* - `JAX <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/jax-compatibility.html>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/jax-install.html"><i class="fas fa-link fa-lg"></i></a>
|
||||
-
|
||||
- Docker image
|
||||
- `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/jax-install.html#using-a-prebuilt-docker-image>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://github.com/ROCm/jax"><i class="fab fa-github fa-lg"></i></a>
|
||||
|
||||
* - :doc:`verl <../compatibility/ml-compatibility/verl-compatibility>`
|
||||
- :doc:`link <rocm-install-on-linux:install/3rd-party/verl-install>`
|
||||
* - `verl <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/verl-compatibility.html>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/verl-install.html"><i class="fas fa-link fa-lg"></i></a>
|
||||
-
|
||||
- Docker image
|
||||
- `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/verl-install.html#use-a-prebuilt-docker-image-with-verl-pre-installed>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://github.com/ROCm/verl"><i class="fab fa-github fa-lg"></i></a>
|
||||
|
||||
* - :doc:`Stanford Megatron-LM <../compatibility/ml-compatibility/stanford-megatron-lm-compatibility>`
|
||||
- :doc:`link <rocm-install-on-linux:install/3rd-party/stanford-megatron-lm-install>`
|
||||
* - `Stanford Megatron-LM <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/stanford-megatron-lm-compatibility.html>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/stanford-megatron-lm-install.html"><i class="fas fa-link fa-lg"></i></a>
|
||||
-
|
||||
- Docker image
|
||||
- `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/stanford-megatron-lm-install.html#use-a-prebuilt-docker-image-with-stanford-megatron-lm-pre-installed>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://github.com/ROCm/Stanford-Megatron-LM"><i class="fab fa-github fa-lg"></i></a>
|
||||
|
||||
* - :doc:`DGL <../compatibility/ml-compatibility/dgl-compatibility>`
|
||||
- :doc:`link <rocm-install-on-linux:install/3rd-party/dgl-install>`
|
||||
* - `DGL <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/dgl-compatibility.html>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/dgl-install.html"><i class="fas fa-link fa-lg"></i></a>
|
||||
-
|
||||
- Docker image
|
||||
- `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/dgl-install.html#use-a-prebuilt-docker-image-with-dgl-pre-installed>`__
|
||||
- `Wheels package <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/dgl-install.html#use-a-wheels-package>`__
|
||||
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://github.com/ROCm/dgl"><i class="fab fa-github fa-lg"></i></a>
|
||||
|
||||
* - :doc:`Megablocks <../compatibility/ml-compatibility/megablocks-compatibility>`
|
||||
- :doc:`link <rocm-install-on-linux:install/3rd-party/megablocks-install>`
|
||||
* - `Megablocks <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/megablocks-compatibility.html>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/megablocks-install.html"><i class="fas fa-link fa-lg"></i></a>
|
||||
-
|
||||
- Docker image
|
||||
- `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/megablocks-install.html#using-a-prebuilt-docker-image-with-megablocks-pre-installed>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://github.com/ROCm/megablocks"><i class="fab fa-github fa-lg"></i></a>
|
||||
|
||||
* - :doc:`Ray <../compatibility/ml-compatibility/ray-compatibility>`
|
||||
- :doc:`link <rocm-install-on-linux:install/3rd-party/ray-install>`
|
||||
* - `Taichi <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/taichi-compatibility.html>`__
|
||||
- .. raw:: html
|
||||
|
||||
<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>
|
||||
-
|
||||
- Docker image
|
||||
- Wheels package
|
||||
- ROCm Base Docker image
|
||||
- `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>`__
|
||||
- `Wheels package <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/taichi-install.html#use-a-wheels-package>`__
|
||||
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://github.com/ROCm/taichi"><i class="fab fa-github fa-lg"></i></a>
|
||||
|
||||
* - `Ray <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/ray-compatibility.html>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/ray-install.html"><i class="fas fa-link fa-lg"></i></a>
|
||||
-
|
||||
- `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/ray-install.html#using-a-prebuilt-docker-image-with-ray-pre-installed>`__
|
||||
- `Wheels package <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/ray-install.html#install-ray-on-bare-metal-or-a-custom-container>`__
|
||||
- `ROCm Base Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/ray-install.html#build-your-own-docker-image>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://github.com/ROCm/ray"><i class="fab fa-github fa-lg"></i></a>
|
||||
|
||||
* - :doc:`llama.cpp <../compatibility/ml-compatibility/llama-cpp-compatibility>`
|
||||
- :doc:`link <rocm-install-on-linux:install/3rd-party/llama-cpp-install>`
|
||||
* - `llama.cpp <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/llama-cpp-compatibility.html>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/llama-cpp-install.html"><i class="fas fa-link fa-lg"></i></a>
|
||||
-
|
||||
- Docker image
|
||||
- ROCm Base Docker image
|
||||
- `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/llama-cpp-install.html#use-a-prebuilt-docker-image-with-llama-cpp-pre-installed>`__
|
||||
- `ROCm Base Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/llama-cpp-install.html#build-your-own-docker-image>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://github.com/ROCm/llama.cpp"><i class="fab fa-github fa-lg"></i></a>
|
||||
|
||||
* - :doc:`FlashInfer <../compatibility/ml-compatibility/flashinfer-compatibility>`
|
||||
- :doc:`link <rocm-install-on-linux:install/3rd-party/flashinfer-install>`
|
||||
* - `FlashInfer <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/flashinfer-compatibility.html>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/flashinfer-install.html"><i class="fas fa-link fa-lg"></i></a>
|
||||
-
|
||||
- Docker image
|
||||
- ROCm Base Docker image
|
||||
- `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/flashinfer-install.html#use-a-prebuilt-docker-image-with-flashinfer-pre-installed>`__
|
||||
- `ROCm Base Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/flashinfer-install.html#build-your-own-docker-image>`__
|
||||
- .. raw:: html
|
||||
|
||||
<a href="https://github.com/ROCm/flashinfer"><i class="fab fa-github fa-lg"></i></a>
|
||||
|
||||
@@ -277,7 +277,7 @@ PyTorch training
|
||||
|
||||
.. seealso::
|
||||
|
||||
See :ref:`Training a model with PyTorch <amd-pytorch-training-multinode-examples>` for more examples and information.
|
||||
See :ref:`Training a model with PyTorch <amd-pytorch-multinode-examples>` for more examples and information.
|
||||
|
||||
Megatron-LM
|
||||
-----------
|
||||
|
||||
@@ -93,7 +93,7 @@ The following table shows whether a ROCm library is graph-safe.
|
||||
- ⚠️ (experimental)
|
||||
*
|
||||
- `rocThrust <https://github.com/ROCm/rocThrust>`_
|
||||
- ❌ (see :doc:`details <rocthrust:reference/rocThrust-hipgraph-support>`)
|
||||
- ❌ (see :doc:`details <rocthrust:hipgraph-support>`)
|
||||
*
|
||||
- `rocWMMA <https://github.com/ROCm/rocWMMA>`_
|
||||
- ❌
|
||||
|
||||
@@ -25,7 +25,7 @@ subtrees:
|
||||
title: HIP SDK on Windows
|
||||
- url: https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/index.html
|
||||
title: ROCm on Radeon and Ryzen
|
||||
- file: how-to/deep-learning-rocm
|
||||
- file: how-to/deep-learning-rocm.md
|
||||
title: Deep learning frameworks
|
||||
subtrees:
|
||||
- entries:
|
||||
@@ -43,6 +43,8 @@ subtrees:
|
||||
title: DGL compatibility
|
||||
- file: compatibility/ml-compatibility/megablocks-compatibility.rst
|
||||
title: Megablocks compatibility
|
||||
- file: compatibility/ml-compatibility/taichi-compatibility.rst
|
||||
title: Taichi compatibility
|
||||
- file: compatibility/ml-compatibility/ray-compatibility.rst
|
||||
title: Ray compatibility
|
||||
- file: compatibility/ml-compatibility/llama-cpp-compatibility.rst
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
rocm-docs-core==1.30.0
|
||||
rocm-docs-core==1.28.0
|
||||
sphinx-reredirects
|
||||
sphinx-sitemap
|
||||
sphinxcontrib.datatemplates==0.11.0
|
||||
|
||||
@@ -8,7 +8,7 @@ accessible-pygments==0.0.5
|
||||
# via pydata-sphinx-theme
|
||||
alabaster==1.0.0
|
||||
# via sphinx
|
||||
asttokens==3.0.1
|
||||
asttokens==3.0.0
|
||||
# via stack-data
|
||||
attrs==25.4.0
|
||||
# via
|
||||
@@ -23,7 +23,7 @@ beautifulsoup4==4.14.2
|
||||
# via pydata-sphinx-theme
|
||||
breathe==4.36.0
|
||||
# via rocm-docs-core
|
||||
certifi==2025.11.12
|
||||
certifi==2025.10.5
|
||||
# via requests
|
||||
cffi==2.0.0
|
||||
# via
|
||||
@@ -31,7 +31,7 @@ cffi==2.0.0
|
||||
# pynacl
|
||||
charset-normalizer==3.4.4
|
||||
# via requests
|
||||
click==8.3.1
|
||||
click==8.3.0
|
||||
# via
|
||||
# jupyter-cache
|
||||
# sphinx-external-toc
|
||||
@@ -50,7 +50,7 @@ docutils==0.21.2
|
||||
# myst-parser
|
||||
# pydata-sphinx-theme
|
||||
# sphinx
|
||||
exceptiongroup==1.3.1
|
||||
exceptiongroup==1.3.0
|
||||
# via ipython
|
||||
executing==2.2.1
|
||||
# via stack-data
|
||||
@@ -187,9 +187,9 @@ requests==2.32.5
|
||||
# via
|
||||
# pygithub
|
||||
# sphinx
|
||||
rocm-docs-core==1.30.0
|
||||
rocm-docs-core==1.28.0
|
||||
# via -r requirements.in
|
||||
rpds-py==0.29.0
|
||||
rpds-py==0.28.0
|
||||
# via
|
||||
# jsonschema
|
||||
# referencing
|
||||
|
||||
Reference in New Issue
Block a user