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GitHub link to component in highlights changed to documentation reference in develop (#4626)

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* GitHub link to component in highlights changed to documentation

* Removed entry from ROCm Compute Profiler

* Jeff's feedback added

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* List updated

---------

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>
This commit is contained in:
Pratik Basyal
2025-04-15 10:14:58 -04:00
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RELEASE.md
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@@ -80,23 +80,23 @@ for the complete list of PyTorch versions tested for compatibility with ROCm. Se
### VP9 support added to rocDecode and rocPyDecode
VP9 support is added to [rocDecode](https://github.com/ROCm/rocDecode) and [rocPyDecode](https://github.com/ROCm/rocPyDecode), allowing enhanced codec support with VP9 encoding.
VP9 support is added to [rocDecode](https://rocm.docs.amd.com/projects/rocDecode/en/latest/index.html) and [rocPyDecode](https://rocm.docs.amd.com/projects/rocPyDecode/en/latest/index.html), allowing enhanced codec support with VP9 encoding.
### Bitstream reader support added to rocDecode
The new bitstream reader feature has been added to [rocDecode](https://github.com/ROCm/rocDecode). It contains built-in stream file parsers, including an elementary stream file parser and an IVF container file parser. It enables decoding without the requirement for FFmpeg demuxer. The reader can parse AVC, HEVC, and AV1 elementary stream files, and AV1 IVF container files. See [Using the rocDecode bitstream reader APIs](https://rocm.docs.amd.com/projects/rocDecode/en/latest/how-to/using-rocDecode-bitstream.html) for more information.
The new bitstream reader feature has been added to [rocDecode](https://rocm.docs.amd.com/projects/rocDecode/en/latest/index.html). It contains built-in stream file parsers, including an elementary stream file parser and an IVF container file parser. It enables decoding without the requirement for FFmpeg demuxer. The reader can parse AVC, HEVC, and AV1 elementary stream files, and AV1 IVF container files. See [Using the rocDecode bitstream reader APIs](https://rocm.docs.amd.com/projects/rocDecode/en/latest/how-to/using-rocDecode-bitstream.html) for more information.
### DLPack support added to rocAL
[rocAL](https://github.com/ROCm/rocAL) now supports DLPack, allowing rocAL GPU tensor to be exchanged with PyTorch. This allows faster data processing by leveraging DLPack tensors. It also improves the GPU based workload performance. For more details, see [DLpack github reference documentation](https://dmlc.github.io/dlpack/latest/).
[rocAL](https://rocm.docs.amd.com/projects/rocAL/en/latest/index.html) now supports DLPack, allowing rocAL GPU tensor to be exchanged with PyTorch. This allows faster data processing by leveraging DLPack tensors. It also improves the GPU based workload performance. For more details, see [DLpack github reference documentation](https://dmlc.github.io/dlpack/latest/).
### ROCm Compute Profiler updates
* ROCm Compute Profiler now supports:
ROCm Compute Profiler now supports:
* ROCprofiler-SDK (`rocprofv3`)
* Experimental multi-nodes profiling support.
* Roofline plot for 64-bit floating point (FP64) and 32-bit floating point (FP32) data types.
* ROCprofiler-SDK (`rocprofv3`)
* Experimental multi-nodes profiling support.
* Roofline plot for 64-bit floating point (FP64) and 32-bit floating point (FP32) data types.
### ROCm Systems Profiler updates
@@ -1182,7 +1182,6 @@ The following lists the backward incompatible changes planned for upcoming major
* Roofline support for Ubuntu 24.04.
* Experimental support `rocprofv3` (not enabled as default).
* Experimental feature: Spatial multiplexing.
#### Resolved issues