ROCm/docs/how-to/rocm-for-ai/inference-optimization/profiling-and-debugging.rst

.. meta::
   :description: How to use ROCm profiling and debugging tools.
   :keywords: ROCm, LLM, fine-tuning, usage, MI300X, tutorial, profiling, debugging, performance, Triton

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Profiling and debugging
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This section provides an index for further documentation on profiling and
debugging tools and their common usage patterns.

See :ref:`AMD Instinct MI300X™ workload optimization <mi300x-profiling-start>`
for a conceptual summary of the workload profiling workflow for ROCm applications
on AMD hardware -- including fine-tuning LLMs.

There, you'll find information on higher-level and kernel-level profiling tools
as well as other profiling and debugging suggestions.

* :ref:`PyTorch Profiler <mi300x-pytorch-profiler>`

* :ref:`ROCm profiling tools <mi300x-profiling-tools>`

  * :ref:`ROCProfiler <mi300x-rocprof>`

  * :ref:`ROCm Compute Profiler <mi300x-rocprof-compute>`

  * :ref:`ROCm Systems Profiler <mi300x-rocprof-systems>`

* :ref:`ROCr Debug Agent <mi300x-rocr-debug-agent>`