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+.. _torchinductor-provenance:
+
+TorchInductor and AOTInductor Provenance Tracking
+=================================================
+
+**Author:** `Shangdi Yu <https://github.com/yushangdi>`__ and `Rachel Guo <https://github.com/YUNQIUGUO>`__
+
+This section describes how to use the provenance tracking feature for TorchInductor and AOTInductor in ``tlparse``.
+Some example screenshots of the provenance tracking tool are shown below.
+The tool visualizes the mapping between nodes in the input graph (panel 1), the post grad graph (panel 2), and the Inductor generated code (panel 3).
+
+.. raw:: html
+
+    <style>
+        .yellow {background-color:#FFFF00;}
+    </style>
+
+.. role:: yellow
+
+The **bolded** lines represent nodes/kernels covered by the current provenance tracing functionality.
+We currently cover triton kernels, cpp kernels, and combo kernels.
+The :yellow:`yellow highlighting` shows the provenance of the nodes/kernels.
+
+
+Example screenshot of the provenance tracking tool for TorchInductor:
+ .. image:: ../_static/img/inductor_provenance/provenance_jit_inductor.png
+
+Example screenshot of the provenance tracking tool for AOTInductor:
+ .. image:: ../_static/img/inductor_provenance/provenance_aot_inductor.png
+
+
+Get Started
+~~~~~~~~~~~
+
+
+
+-  Use the following flags when running your program to produce necessary artifacts: ``TORCH_TRACE=~/my_trace_log_dir  TORCH_LOGS="+inductor"  TORCH_COMPILE_DEBUG=1``
+
+   -  These flags will produce a log file in ``~/my_trace_log_dir``. The log file will be used by tlparse to generate the provenance tracking highlighter.
+
+
+- Then run ``tlparse`` on the log with ``--inductor-provenance`` flag. For example, ``tlparse log_file_name.log --inductor-provenance``.
+
+   - See a demo video at https://github.com/pytorch/tlparse/pull/93.
+   - Even if you don't add the --inductor-provenance flag, you should be able to see the mapping in json format in the ``inductor_provenance_tracking_node_mappings_<number>.json`` file in the ``index.html`` tlparse output.
+   - Please run ``tlpare`` directly on the log file. It might not work if you run "tlparse parse <folder_name>  --inductor-provenance".
+   - The ``tlparse`` artifacts used by the provenance tracking highlighter are: inductor_pre_grad_graph.txt, inductor_post_grad_graph.txt, inductor_aot_wrapper_code.txt, inductor_output_code,txt inductor_provenance_tracking_node_mappings.json.
+
+
+After running ``tlparse <file_name> --inductor-provenance``, you should see an additional "Provenance Tracking" section in the tlparse output. Clicking into the link(s) to access the provenance tracking tool.
+
+ .. image:: ../_static/img/inductor_provenance/index.png
+
+
+More about tlparse
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``tlparse`` is a tool written in Rust, and can be installed by ``cargo install tlparse``.
+
+- Link to the tlparse GitHub repo: https://github.com/pytorch/tlparse
+- Learn more about ``tlparse`` at :ref:`torch.compiler_troubleshooting`