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Update ROCm-Tools.rst
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ROCm_Tools/ROCm-Tools.rst

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at GitHub:
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`https://github.com/ROCm-Developer-Tools/rocprofiler/blob/amd-master/bin/rocprof <https://github.com/ROCm-Developer-Tools/rocprofiler/blob/amd-master/bin/rocprof>`__
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| This command line tool is implemented as a script which is setting up
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the environment for attaching the profiler and then run the provided
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application command line. The tool uses two profiling plugins loaded
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by ROC runtime and based on rocProfiler and rocTracer for collecting
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metrics/counters, HW traces and runtime API/activity traces. The tool
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consumes an input XML or text file with counters list or trace
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parameters and provides output profiling data and statistics in
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various formats as text, CSV and JSON traces. Google Chrome tracing
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can be used to visualize the JSON traces with runtime API/activity
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timelines and per kernel counters data.
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| This command line tool is implemented as a script which is setting up the environment for attaching the profiler and then run the provided
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application command line. The tool uses two profiling plugins loaded by ROC runtime and based on rocProfiler and rocTracer for collecting
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metrics/counters, HW traces and runtime API/activity traces. The tool consumes an input XML or text file with counters list or trace
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parameters and provides output profiling data and statistics in various formats as text, CSV and JSON traces. Google Chrome tracing
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can be used to visualize the JSON traces with runtime API/activity timelines and per kernel counters data.
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**NOTE**: You must set the ‘PATH’ environment variable to the ROCM bin directory. This enables the profiler to find the correct ROCm setup and get ROCm info metadata. For example, *“export PATH=$PATH:/opt/rocm/bin”*.
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Profiling Modes
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***************
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‘rocprof’ can be used for GPU profiling using HW counters and
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application tracing
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application tracing.
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GPU profiling
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