Follow-up to #333 - fix wheel builds

.github/workflows/scripts/build_wheels.sh

@@ -158,12 +158,15 @@ $python -m build --wheel
 
 CUDAQ_EXCLUDE_LIST=$(for f in $(find $cudaq_prefix/lib -name "*.so" -printf "%P\n" | sort); do echo "--exclude $f"; done | tr '\n' ' ')
 
+# We need to exclude a few libraries to prevent auditwheel from mistakenly grafting them into the wheel.
 LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$(pwd)/_skbuild/lib:$tensorrt_path/lib" \
 $python -m auditwheel -v repair dist/*.whl $CUDAQ_EXCLUDE_LIST \
   --wheel-dir /wheels \
   --exclude libcudart.so.${cuda_version} \
   --exclude libnvinfer.so.10 \
   --exclude libnvonnxparser.so.10 \
+  --exclude libcudaq-qec.so \
+  --exclude libcudaq-qec-realtime-decoding.so \
   ${PLAT_STR}
 
 # ==============================================================================

Building.md

@@ -55,12 +55,11 @@ export PYTHONPATH=${CUDAQ_INSTALL_PREFIX}:${CUDAQX_INSTALL_PREFIX}
 export PATH="${CUDAQ_INSTALL_PREFIX}/bin:${CUDAQX_INSTALL_PREFIX}/bin:${PATH}"
 ctest
 # Run the python tests
-# The --ignore option is to bypass tests that require additional packages not contained in 
+# The --ignore option is to bypass tests that require additional packages not contained in
 # the standard docker container
 cd ..
 python3 -m pytest -v libs/qec/python/tests --ignore libs/qec/python/tests/test_tensor_network_decoder.py
 python3 -m pytest -v libs/solvers/python/tests --ignore libs/solvers/python/tests/test_gqe.py
-
 ```
 
 If you want to change which version of CUDA-Q that CUDA-QX is paired with, you
@@ -81,3 +80,14 @@ contributing to CUDA-QX, but it should be noted that while this environment
 will have many GPU-accelerated simulators installed in it, it won't contain the
 *highest* performing CUDA-Q simulators. See [this note](https://nvidia.github.io/cuda-quantum/latest/using/install/data_center_install.html)
 for more details.
+
+## Building CUDA-QX Documentation from Source
+
+If you want to build and render our documentation from source, you can do this
+with the same environment as above. In particular, after running `ninja install`,
+you can run `ninja docs`. This places the documentation into the
+`/workspaces/cudaqx/build/docs/build/` directory. From there, you can open
+the `index.html` file in your browser, or if you are using VSCode or Cursor, you
+can simply browse to the `index.html` file in the Explorer panel, right click on
+the file, and select "Open with Live Server", and that will open your browser
+with the main docs page loaded automatically.

libs/qec/lib/CMakeLists.txt

@@ -93,6 +93,4 @@ install(DIRECTORY ${CUDAQX_QEC_INCLUDE_DIR}/cudaq
   FILES_MATCHING PATTERN "*.h"
 )
 
-if (NOT SKBUILD)
-  add_subdirectory(realtime)
-endif()
+add_subdirectory(realtime)

libs/qec/lib/realtime/CMakeLists.txt

@@ -43,6 +43,7 @@ set_target_properties(cudaq-qec-realtime-decoding PROPERTIES
 
 
 install(TARGETS cudaq-qec-realtime-decoding
+  COMPONENT qec-lib
   LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}
 )
 

libs/qec/lib/realtime/quantinuum/CMakeLists.txt

@@ -49,6 +49,7 @@ set_target_properties(cudaq-qec-realtime-decoding-quantinuum PROPERTIES
 )
 
 install(TARGETS cudaq-qec-realtime-decoding-quantinuum
+  COMPONENT qec-lib
   LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}
 )
 
@@ -65,5 +66,6 @@ set_target_properties(cudaq-qec-realtime-decoding-cudaq-stubs PROPERTIES
   LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
 
 install(TARGETS cudaq-qec-realtime-decoding-cudaq-stubs
+  COMPONENT qec-lib
   LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR})
 

libs/qec/lib/realtime/simulation/CMakeLists.txt

@@ -43,6 +43,7 @@ set_target_properties(cudaq-qec-realtime-decoding-simulation PROPERTIES
 
 
 install(TARGETS cudaq-qec-realtime-decoding-simulation
+  COMPONENT qec-lib
   LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}
 )
 

scripts/ci/test_wheels.sh

@@ -69,6 +69,12 @@ elif [[ "$cuda_version" == "12" ]]; then
   ${python} -m pip install torch==2.9.0 --index-url https://download.pytorch.org/whl/cu126
 fi
 
+# Temporary hack until tensorrt-cu13 bumps its package version to accommodate
+# for the breaking change in nvidia-cuda-runtime-cu13.
+if [[ "$cuda_version" == "13" ]]; then
+  ${python} -m pip install ${FIND_LINKS} "nvidia-cuda-runtime-cu13==0.0.0a0"
+fi
+
 # QEC library
 # ======================================