mirror of
https://github.com/ROCm/ROCm.git
synced 2026-01-08 22:28:06 -05:00
Merge branch 'develop' into roc-6.4.x
This commit is contained in:
Alex Xu
@@ -50,7 +50,7 @@ The following example shows how to use the repo tool to download the ROCm source
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```bash
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mkdir -p ~/ROCm/
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cd ~/ROCm/
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export ROCM_VERSION=6.4.0
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export ROCM_VERSION=6.4.1
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~/bin/repo init -u http://github.com/ROCm/ROCm.git -b roc-6.4.x -m tools/rocm-build/rocm-${ROCM_VERSION}.xml
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~/bin/repo sync
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```
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@@ -77,7 +77,7 @@ The Build time will reduce significantly if we limit the GPU Architecture/s agai
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mkdir -p ~/WORKSPACE/ # Or any folder name other than WORKSPACE
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cd ~/WORKSPACE/
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export ROCM_VERSION=6.4.0
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export ROCM_VERSION=6.4.1
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~/bin/repo init -u http://github.com/ROCm/ROCm.git -b roc-6.4.x -m tools/rocm-build/rocm-${ROCM_VERSION}.xml
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~/bin/repo sync
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32
RELEASE.md
32
RELEASE.md
@@ -24,8 +24,6 @@ The release notes provide a summary of notable changes since the previous ROCm r
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- [ROCm known issues](#rocm-known-issues)
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- [ROCm resolved issues](#rocm-resolved-issues)
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- [ROCm upcoming changes](#rocm-upcoming-changes)
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```{note}
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@@ -69,7 +67,7 @@ ROCm documentation continues to be updated to provide clearer and more comprehen
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* The [Training a model with LLM Foundry](https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/training/benchmark-docker/mpt-llm-foundry.html) performance testing guide has been added. This guide describes how to use the preconfigured [ROCm/pytorch-training](https://hub.docker.com/layers/rocm/pytorch-training/v25.5/images/sha256-d47850a9b25b4a7151f796a8d24d55ea17bba545573f0d50d54d3852f96ecde5) training environment and [https://github.com/ROCm/MAD](https://github.com/ROCm/MAD) to test the training performance of the LLM Foundry framework on AMD Instinct MI325X and MI300X accelerators using the [MPT-30B](https://huggingface.co/mosaicml/mpt-30b) model.
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* The [Training a model with PyTorch](https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/training/benchmark-docker/pytorch-training.html) performance testing guide has been updated to feature the latest [ROCm/pytorch-training](https://hub.docker.com/layers/rocm/pytorch-training/v25.5/images/sha256-d47850a9b25b4a7151f796a8d24d55ea17bba545573f0d50d54d3852f96ecde5) Docker image (a preconfigured training environment with ROCm and PyTorch). Support for [Llama 3.3 70B](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) has been added.
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* The [Training a model with JAX MaxText](https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/training/benchmark-docker/jax-maxtext.html) performance testing guide has been updated to feature the latest [ROCm/jax-training](https://hub.docker.com/layers/rocm/jax-training/maxtext-v25.5/images/sha256-4e0516358a227cae8f552fb866ec07e2edcf244756f02e7b40212abfbab5217b) Docker image (a preconfigured training environment with ROCm, JAX, and [MaxText](https://github.com/AI-Hypercomputer/maxtext)). Support for [Llama 3.3 70B](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) has been added.
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* The [vLLM inference performance testing](https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/inference/vllm-benchmark.html?model=pyt_vllm_qwq-32b) guide has been updated to feature the latest [ROCm/vLLM](https://hub.docker.com/layers/rocm/vllm/instinct_main/images/sha256-ad9062dea3483d59dedb17c67f7c49f30eebd6eb37c3fac0a171fb19696cc845) Docker image (a preconfigured environment for inference with ROCm and [vLLM](https://docs.vllm.ai/en/latest/)). Support for the [QwQ-32B](https://huggingface.co/Qwen/QwQ-32B) model has been added.
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* The [vLLM inference performance testing](https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/inference/vllm-benchmark.html?model=pyt_vllm_qwq-32b) guide has been updated to feature the latest [ROCm/vLLM](https://hub.docker.com/layers/rocm/vllm/latest/images/sha256-5c8b4436dd0464119d9df2b44c745fadf81512f18ffb2f4b5dc235c71ebe26b4) Docker image (a preconfigured environment for inference with ROCm and [vLLM](https://docs.vllm.ai/en/latest/)). Support for the [QwQ-32B](https://huggingface.co/Qwen/QwQ-32B) model has been added.
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* The [PyTorch inference performance testing](https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.html?model=pyt_clip_inference) guide has been added, featuring the [ROCm/PyTorch](https://hub.docker.com/layers/rocm/pytorch/latest/images/sha256-ab1d350b818b90123cfda31363019d11c0d41a8f12a19e3cb2cb40cf0261137d) Docker image (a preconfigured inference environment with ROCm and PyTorch) with initial support for the [CLIP](https://huggingface.co/laion/CLIP-ViT-B-32-laion2B-s34B-b79K) and [Chai-1](https://huggingface.co/chaidiscovery/chai-1) models.
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## Operating system and hardware support changes
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@@ -78,7 +76,8 @@ ROCm 6.4.1 introduces support for the RDNA4 architecture-based [Radeon AI PRO
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R9700](https://www.amd.com/en/products/graphics/workstations/radeon-ai-pro/ai-9000-series/amd-radeon-ai-pro-r9700.html),
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[Radeon RX 9070 XT](https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070xt.html), and
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[Radeon RX 9060 XT](https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9060xt.html) GPUs
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for compute workloads. For details, see the full list of [Supported GPUs
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for compute workloads. Currently, these GPUs are only supported on Ubuntu 24.04.2, Ubuntu 22.04.5, RHEL 9.5, and RHEL 9.4.
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For details, see the full list of [Supported GPUs
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(Linux)](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html#supported-gpus).
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Operating system support remains unchanged in this release.
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@@ -390,7 +389,7 @@ Click {fab}`github` to go to the component's source code on GitHub.
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<th rowspan="2" colspan="2">Compilers</th>
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<td><a href="https://rocm.docs.amd.com/projects/HIPCC/en/docs-6.4.1/index.html">HIPCC</a></td>
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<td>1.1.1</td>
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<td><a href="https://github.com/ROCm/llvm-project/"><i
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<td><a href="https://github.com/ROCm/llvm-project/tree/amd-staging/amd/hipcc"><i
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class="fab fa-github fa-lg"></i></a></td>
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</tr>
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<tr>
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@@ -562,12 +561,29 @@ issues related to individual components, review the [Detailed component changes]
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Radeon AI PRO R9700 GPUs might hang when running [Stable Diffusion
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2.1](https://huggingface.co/stabilityai/stable-diffusion-2-1) with batch sizes
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greater than four. As a workaround, limit batch sizes to four or fewer. This issue
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will be addressed in a future ROCm release.
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will be addressed in a future ROCm release. See [issue #4770](https://github.com/ROCm/ROCm/issues/4770) on GitHub.
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### RCCL MSCCL initialization failure
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When splitting a communicator using `ncclCommSplit` in some GPU configurations, MSCCL initialization can cause a segmentation fault. The recommended workaround is to disable MSCCL with `export RCCL_MSCCL_ENABLE=0`.
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This issue will be fixed in a future ROCm release.
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This issue will be fixed in a future ROCm release. See [issue #4769](https://github.com/ROCm/ROCm/issues/4769) on GitHub.
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### AMD SMI CLI: CPER entries not dumped continuously when using follow flag
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* When using the `--follow` flag with `amd-smi ras --cper`, CPER entries are not streamed continuously as intended. This will be fixed in an upcoming ROCm release.
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See [issue #4768](https://github.com/ROCm/ROCm/issues/4768) on GitHub.
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### ROCm SMI uninstallation issue on RHEL and SLES
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`rocm-smi-lib` does not get uninstalled and remains orphaned on RHEL and SLES systems when:
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* [Uninstalling ROCm using the AMDGPU installer](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/amdgpu-install.html#uninstalling-rocm) with `amdgpu-install --uninstall`
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* [Uninstalling via package manager](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/install-methods/package-manager/package-manager-rhel.html#uninstall-rocm-packages)
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with `dnf remove rocm-core` on RHEL or `zypper remove rocm-core` on SLES.
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As a workaround, manually remove the `rocm-smi-lib` package using `sudo dnf remove rocm-smi-lib` or `sudo zypper remove rocm-smi-lib`.
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See [issue #4767](https://github.com/ROCm/ROCm/issues/4767) on GitHub.
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## ROCm upcoming changes
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@@ -638,4 +654,4 @@ There are a number of upcoming changes planned for HIP runtime API in an upcomin
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that are not backward compatible with prior releases. Most of these changes increase
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alignment between HIP and CUDA APIs or behavior. Some of the upcoming changes are to
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clean up header files, remove namespace collision, and have a clear separation between
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`hipRTC` and HIP runtime. For more information refer to [HIP Upcoming changes](https://rocm.docs.amd.com/en/latest/about/release-notes.html#id15).
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`hipRTC` and HIP runtime. For more information refer to [HIP Upcoming changes](https://rocm.docs.amd.com/en/docs-6.4.0/about/release-notes.html#id15).
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@@ -1,7 +1,7 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<manifest>
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<remote name="rocm-org" fetch="https://github.com/ROCm/" />
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<default revision="refs/tags/rocm-6.4.0"
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<default revision="refs/tags/rocm-6.4.1"
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remote="rocm-org"
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sync-c="true"
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sync-j="4" />
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@@ -17,8 +17,8 @@ ROCm Version,6.4.1,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0, 6.1.5,
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,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3
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,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2
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,.. _gpu-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,
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:doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1201,,,,,,,,,,,,,,,
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,gfx1200,,,,,,,,,,,,,,,
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:doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1201 [#RDNA4-OS-past-60]_,,,,,,,,,,,,,,,
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,gfx1200 [#RDNA4-OS-past-60]_,,,,,,,,,,,,,,,
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,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100
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,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030
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,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942 [#mi300_624-past-60]_,gfx942 [#mi300_622-past-60]_,gfx942 [#mi300_621-past-60]_,gfx942 [#mi300_620-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_611-past-60]_, gfx942 [#mi300_610-past-60]_, gfx942 [#mi300_602-past-60]_, gfx942 [#mi300_600-past-60]_
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|
@@ -42,8 +42,8 @@ compatibility and system requirements.
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,RDNA3,RDNA3,RDNA3
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,RDNA2,RDNA2,RDNA2
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,.. _gpu-support-compatibility-matrix:,,
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:doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1201,,
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,gfx1200,,
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:doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1201 [#RDNA4-OS]_,,
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,gfx1200 [#RDNA4-OS]_,,
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,gfx1100,gfx1100,gfx1100
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,gfx1030,gfx1030,gfx1030
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,gfx942,gfx942,gfx942
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@@ -156,6 +156,7 @@ compatibility and system requirements.
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.. [#mi300_620] **For ROCm 6.2.0** - MI300X (gfx942) is supported on listed operating systems *except* Ubuntu 22.04.5 [6.8 HWE] and Ubuntu 22.04.4 [6.5 HWE].
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.. [#kfd_support] Starting from ROCm 6.4.0, forward and backward compatibility between the AMD Kernel-mode GPU Driver (KMD) and its user space software is provided up to a year apart (assuming hardware support is available in both). For earlier ROCm releases, the compatibility is provided for +/- 2 releases. These are the compatibility combinations that are currently supported.
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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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.. [#RDNA4-OS] Radeon AI PRO R9700, Radeon RX 9070 XT (gfx1201), and Radeon RX 9060 XT (gfx1200) are supported only on Ubuntu 24.04.2, Ubuntu 22.04.5, RHEL 9.5, and RHEL 9.4.
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.. _OS-kernel-versions:
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@@ -234,3 +235,4 @@ Expand for full historical view of:
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.. [#mi300_600-past-60] **For ROCm 6.0.0** - MI300A (gfx942) is supported on Ubuntu 22.04.3, RHEL 8.9, and SLES 15 SP5. MI300X (gfx942) is only supported on Ubuntu 22.04.3.
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.. [#kfd_support-past-60] Starting from ROCm 6.4.0, forward and backward compatibility between the AMD Kernel-mode GPU Driver (KMD) and its user space software is provided up to a year apart (assuming hardware support is available in both). For earlier ROCm releases, the compatibility is provided for +/- 2 releases. These are the compatibility combinations that are currently supported.
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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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.. [#RDNA4-OS-past-60] Radeon AI PRO R9700, Radeon RX 9070 XT (gfx1201), and Radeon RX 9060 XT (gfx1200) are supported only on Ubuntu 24.04.2, Ubuntu 22.04.5, RHEL 9.5, and RHEL 9.4.
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@@ -1,7 +1,7 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<manifest>
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<remote name="rocm-org" fetch="https://github.com/ROCm/" />
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<default revision="refs/tags/rocm-6.4.0"
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<default revision="refs/tags/rocm-6.4.1"
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remote="rocm-org"
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sync-c="true"
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sync-j="4" />
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79
tools/rocm-build/rocm-6.4.1.xml
Normal file
79
tools/rocm-build/rocm-6.4.1.xml
Normal file
@@ -0,0 +1,79 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<manifest>
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<remote name="rocm-org" fetch="https://github.com/ROCm/" />
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<default revision="refs/tags/rocm-6.4.1"
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remote="rocm-org"
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sync-c="true"
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sync-j="4" />
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<!--list of projects for ROCm-->
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<project name="ROCm" revision="roc-6.4.x" />
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<project name="ROCK-Kernel-Driver" />
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<project name="ROCR-Runtime" />
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<project name="amdsmi" />
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<project name="rdc" />
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<project name="rocm_bandwidth_test" />
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<project name="rocm_smi_lib" />
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<project name="rocm-core" />
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<project name="rocm-examples" />
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<project name="rocminfo" />
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<project name="rocprofiler" />
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<project name="rocprofiler-register" />
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<project name="rocprofiler-sdk" />
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<project name="rocprofiler-compute" />
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<project name="rocprofiler-systems" />
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<project name="roctracer" />
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<!--HIP Projects-->
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<project name="HIP" />
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<project name="hip-tests" />
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<project name="HIPIFY" />
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<project name="clr" />
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<project name="hipother" />
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<!-- The following projects are all associated with the AMDGPU LLVM compiler -->
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<project name="half" />
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<project name="llvm-project" />
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<project name="spirv-llvm-translator" />
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<!-- gdb projects -->
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<project name="ROCdbgapi" />
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<project name="ROCgdb" />
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<project name="rocr_debug_agent" />
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<!-- ROCm Libraries -->
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<project groups="mathlibs" name="AMDMIGraphX" />
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<project groups="mathlibs" name="MIOpen" />
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<project groups="mathlibs" name="MIVisionX" />
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<project groups="mathlibs" name="ROCmValidationSuite" />
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<project groups="mathlibs" name="Tensile" />
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<project groups="mathlibs" name="composable_kernel" />
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<project groups="mathlibs" name="hipBLAS-common" />
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<project groups="mathlibs" name="hipBLAS" />
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<project groups="mathlibs" name="hipBLASLt" />
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<project groups="mathlibs" name="hipCUB" />
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<project groups="mathlibs" name="hipFFT" />
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<project groups="mathlibs" name="hipRAND" />
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<project groups="mathlibs" name="hipSOLVER" />
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<project groups="mathlibs" name="hipSPARSE" />
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<project groups="mathlibs" name="hipSPARSELt" />
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<project groups="mathlibs" name="hipTensor" />
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<project groups="mathlibs" name="hipfort" />
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<project groups="mathlibs" name="rccl" />
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<project groups="mathlibs" name="rocAL" />
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<project groups="mathlibs" name="rocALUTION" />
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<project groups="mathlibs" name="rocBLAS" />
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<project groups="mathlibs" name="rocDecode" />
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<project groups="mathlibs" name="rocJPEG" />
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<project groups="mathlibs" name="rocPyDecode" />
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<project groups="mathlibs" name="rocFFT" />
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<project groups="mathlibs" name="rocPRIM" />
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<project groups="mathlibs" name="rocRAND" />
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<project groups="mathlibs" name="rocSHMEM" />
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<project groups="mathlibs" name="rocSOLVER" />
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<project groups="mathlibs" name="rocSPARSE" />
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<project groups="mathlibs" name="rocThrust" />
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<project groups="mathlibs" name="rocWMMA" />
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<project groups="mathlibs" name="rocm-cmake" />
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<project groups="mathlibs" name="rpp" />
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<project groups="mathlibs" name="TransferBench" />
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<!-- Projects for OpenMP-Extras -->
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<project name="aomp" path="openmp-extras/aomp" />
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<project name="aomp-extras" path="openmp-extras/aomp-extras" />
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<project name="flang" path="openmp-extras/flang" />
|
||||
</manifest>
|
||||
Reference in New Issue
Block a user