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8 changes: 4 additions & 4 deletions docs/source/contribute/cpp_debugger.md
Original file line number Diff line number Diff line change
Expand Up @@ -45,11 +45,11 @@ files you want to debug. All other source files are built and optimized as usual
We suggest the following steps:

1. Identify the source file you want to debug.
1. Build that file with debug symbols using a command similar to `USE_CUSTOM_DEBINFO="aten/src/ATen/native/Linear.cpp" python setup.py develop`.
1. Build that file with debug symbols using a command similar to `USE_CUSTOM_DEBINFO="aten/src/ATen/native/Linear.cpp" python -m pip install --no-build-isolation -v -e .`.
1. Set a breakpoint and start a debugger session. As you debug you will discover
additional files you want to debug.
1. Add those files to the `USE_CUSTOM_DEBINFO` environment variable.
1. Rebuild with a command similar to `USE_CUSTOM_DEBINFO="aten/src/ATen/native/Linear.cpp;newfile.cpp" python setup.py develop`.
1. Rebuild with a command similar to `USE_CUSTOM_DEBINFO="aten/src/ATen/native/Linear.cpp;newfile.cpp" python -m pip install --no-build-isolation -v -e .`.
1. Start your debugger session again.

At this point, your PyTorch is built with debugging symbols and ready to debug
Expand All @@ -62,7 +62,7 @@ For PyTorch, we recommend you do a full clean and rebuild each time.
Unfortunately, touching a file to update its timestamp does not reliably cause
that file to be rebuilt.

In the output of the `python setup.py develop` command, look for a line that
In the output of the `python -m pip install --no-build-isolation -v -e .` command, look for a line that
starts with `Source files with custom debug infos` to make sure your file was
built with debug symbols. For example:

Expand Down Expand Up @@ -188,7 +188,7 @@ settings turns off building CUDA and turns on handling an environment variable
to print dispatcher traces.

``` sh
USE_CUSTOM_DEBINFO="aten/src/ATen/native/Linear.cpp" USE_CUDA=0 LD_LIBRARY_PATH=/home/USERNAME/miniconda3/envs/torch310/lib CFLAGS="-DHAS_TORCH_SHOW_DISPATCH_TRACE" python setup.py develop
USE_CUSTOM_DEBINFO="aten/src/ATen/native/Linear.cpp" USE_CUDA=0 LD_LIBRARY_PATH=/home/USERNAME/miniconda3/envs/torch310/lib CFLAGS="-DHAS_TORCH_SHOW_DISPATCH_TRACE" python -m pip install --no-build-isolation -v -e .
```

## Future Work
Expand Down