Final changes moved to autotag template (#295)

* Final changes moved to autotag template

* VCN added
This commit is contained in:
Pratik Basyal
2025-01-28 13:25:10 -05:00
committed by GitHub
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# ROCm 6.3.2 release notes
The release notes provide a summary of notable changes since the previous ROCm release.
- [Release highlights](#release-highlights)
- [Operating system and hardware support changes](#operating-system-and-hardware-support-changes)
- [ROCm components versioning](#rocm-components)
- [Detailed component changes](#detailed-component-changes)
- [ROCm known issues](#rocm-known-issues)
- [ROCm resolved issues](#rocm-resolved-issues)
- [ROCm upcoming changes](#rocm-upcoming-changes)
```{note}
If youre using Radeon™ PRO or Radeon GPUs in a workstation setting with a
display connected, continue to use ROCm 6.2.3. See the [Use ROCm on Radeon GPUs](https://rocm.docs.amd.com/projects/radeon/en/latest/index.html)
documentation to verify compatibility and system requirements.
```
## Release highlights
The following are notable improvements in ROCm 6.3.2. For changes to individual components, see
[Detailed component changes](#detailed-component-changes).
### ROCm documentation updates
ROCm documentation continues to be updated to provide clearer and more comprehensive guidance for a wider variety of user needs and use cases.
* Documentation about ROCm compatibility with deep learning frameworks has been added. These topics outline ROCm-enabled features for each deep learning framework, key ROCm libraries that can influence the capabilities, validated Docker image tags, and features supported across the available ROCm and framework versions. For more information, see:
* [PyTorch compatibility](https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/pytorch-compatibility.html)
* [TensorFlow compatibility](https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/tensorflow-compatibility.html)
* [JAX compatibility](https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/jax-compatibility.html)
* The [HIP C++ language extensions](https://rocm.docs.amd.com/projects/HIP/en/latest/how-to/hip_cpp_language_extensions.html) and [Kernel language C++ support](https://rocm.docs.amd.com/projects/HIP/en/latest/how-to/kernel_language_cpp_support.html) topics have been reorganized to make them easier to find and review. The topics have also been enhanced with new content.

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## ROCm known issues
ROCm known issues are noted on {fab}`github` [GitHub](https://github.com/ROCm/ROCm/labels/Verified%20Issue). For known
issues related to individual components, review the [Detailed component changes](#detailed-component-changes).

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## ROCm resolved issues
The following are previously known issues resolved in this release. For resolved issues related to
individual components, review the [Detailed component changes](#detailed-component-changes).
### TransferBench packages not functional
Issue with TransferBench packages not being compiled properly has been fixed. For more information, See [GitHub issue #4081](https://github.com/ROCm/ROCm/issues/4081).
### ROCm Compute Profiler CTest failure in CI
When running the ROCm Compute Profiler (`rocprof-compute`) CTest in the Azure CI environment, the
`rocprof-compute` execution test failed. This issue was due to an outdated test file that was not renamed
(`omniperf` to `rocprof-compute`), and the `ROCM_PATH` environment variable not being set in
the Azure CI environment, resulting in the tool being unable to extract chip information as expected.
This issue has been fixed in the ROCm 6.3.2 release. See [GitHub issue #4085](https://github.com/ROCm/ROCm/issues/4085).
### MIVisionX memory access fault in Canny edge detection
An issue where Canny edge detection kernels accessed out-of-bounds memory locations while
computing gradient intensities on edge pixels has been fixed. This issue was isolated to
Canny-specific use cases on Instinct MI300 series accelerators. See [GitHub issue #4086](https://github.com/ROCm/ROCm/issues/4086).
### AMD VCN instability with rocDecode
A firmware crash on gfx942 devices when AMD Video Core Next (VCN) was used for rocDecode operations has been resolved.

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## Operating system and hardware support changes
ROCm 6.3.2 adds support for Azure Linux 3.0 (kernel: 6.6). Azure Linux is supported only on AMD Instinct accelerators. For more information, see [Azure Linux installation](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/quick-start.html).
See the [Compatibility
matrix](https://rocm.docs.amd.com/en/latest/compatibility/compatibility-matrix.html)
for more information about operating system and hardware compatibility.

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## ROCm upcoming changes
The following changes to the ROCm software stack are anticipated for future releases.
### AMDGPU wavefront size compiler macro deprecation
The `__AMDGCN_WAVEFRONT_SIZE__` macro will be deprecated in an upcoming
release. It is recommended to remove any use of this macro. For more information, see [AMDGPU
support](https://rocm.docs.amd.com/projects/llvm-project/en/docs-6.3.2/LLVM/clang/html/AMDGPUSupport.html).
### HIPCC Perl scripts deprecation
The HIPCC Perl scripts (`hipcc.pl` and `hipconfig.pl`) will be removed in an upcoming release.