Add note to documentation about Perfetto workaround (#103)
Users viewing the "latest" documentation may still be using a version of omnitrace / rocprofiler-systems prior to 6.3.1. Re-add this warning so it is easier to find a workaround.
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@@ -7,6 +7,9 @@
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[](https://github.com/ROCm/rocprofiler-systems/actions/workflows/cpack.yml)
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[](https://github.com/ROCm/rocprofiler-systems/actions/workflows/cpack.yml)
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[](https://github.com/ROCm/rocprofiler-systems/actions/workflows/docs.yml)
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[](https://github.com/ROCm/rocprofiler-systems/actions/workflows/docs.yml)
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> [!NOTE]
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> If you are using a version of ROCm prior to ROCm 6.3.1 and are experiencing problems viewing your trace in the latest version of [Perfetto](http://ui.perfetto.dev), then try using [Perfetto UI v46.0](https://ui.perfetto.dev/v46.0-35b3d9845/#!/).
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## Overview
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## Overview
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ROCm Systems Profiler (rocprofiler-systems), formerly Omnitrace, is a comprehensive profiling and tracing tool for parallel applications written in C, C++, Fortran, HIP, OpenCL, and Python which execute on the CPU or CPU+GPU.
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ROCm Systems Profiler (rocprofiler-systems), formerly Omnitrace, is a comprehensive profiling and tracing tool for parallel applications written in C, C++, Fortran, HIP, OpenCL, and Python which execute on the CPU or CPU+GPU.
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@@ -15,6 +15,11 @@ A visualization of the comprehensive ROCm Systems Profiler results can be observ
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web browser. Upload the Perfetto (``.proto``) output files produced by ROCm Systems Profiler at
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web browser. Upload the Perfetto (``.proto``) output files produced by ROCm Systems Profiler at
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`ui.perfetto.dev <https://ui.perfetto.dev/>`_ to see the details.
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`ui.perfetto.dev <https://ui.perfetto.dev/>`_ to see the details.
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.. important::
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If you are using a version of ROCm prior to ROCm 6.3.1 and are experiencing problems viewing your
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trace in the latest version of [Perfetto](http://ui.perfetto.dev), then try using
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[Perfetto UI v46.0](https://ui.perfetto.dev/v46.0-35b3d9845/#!/).
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Aggregated high-level results are available as human-readable text files and
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Aggregated high-level results are available as human-readable text files and
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JSON files for programmatic analysis. The JSON output files are compatible with the
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JSON files for programmatic analysis. The JSON output files are compatible with the
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`hatchet <https://github.com/hatchet/hatchet>`_ Python package. Hatchet converts
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`hatchet <https://github.com/hatchet/hatchet>`_ Python package. Hatchet converts
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