Move pathfinder to cuda-python top level

.github/workflows/build-docs.yml

@@ -115,6 +115,17 @@ jobs:
           pwd
           ls -lahR .
 
+      - name: Download cuda-pathfinder build artifacts
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093  # v4.3.0
+        with:
+          name: cuda-pathfinder-wheel
+          path: ./cuda_pathfinder
+
+      - name: Display structure of downloaded cuda-pathfinder artifacts
+        run: |
+          pwd
+          ls -lahR cuda_pathfinder
+
       - name: Download cuda.bindings build artifacts
         if: ${{ !inputs.is-release }}
         uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093  # v4.3.0
@@ -161,6 +172,10 @@ jobs:
 
       - name: Install all packages
         run: |
+          pushd cuda_pathfinder
+          pip install *.whl
+          popd
+
           pushd "${CUDA_BINDINGS_ARTIFACTS_DIR}"
           pip install *.whl
           popd

.github/workflows/build-wheel.yml

@@ -57,7 +57,7 @@ jobs:
       - name: Set up MSVC
         if: ${{ startsWith(inputs.host-platform, 'win') }}
         uses: ilammy/msvc-dev-cmd@v1  # TODO: ask admin to allow pinning commits
-      
+
       - name: Set environment variables
         env:
           CUDA_VER: ${{ inputs.cuda-version }}
@@ -69,7 +69,43 @@ jobs:
       - name: Dump environment
         run: |
           env
-
+
+      - name: Install twine
+        run: |
+          pip install twine
+
+      # To keep the build workflow simple, all matrix jobs will build a wheel for later use within this workflow.
+      - name: Build and check cuda.pathfinder wheel
+        run: |
+          pushd cuda_pathfinder
+          pip wheel -v --no-deps .
+          popd
+
+      - name: List the cuda.pathfinder artifacts directory
+        run: |
+          if [[ "${{ inputs.host-platform }}" == win* ]]; then
+            export CHOWN=chown
+          else
+            export CHOWN="sudo chown"
+          fi
+          $CHOWN -R $(whoami) cuda_pathfinder/*.whl
+          ls -lahR cuda_pathfinder
+
+      # We only need/want a single pure python wheel, pick linux-64 index 0.
+      # This is what we will use for testing & releasing.
+      - name: Check cuda.pathfinder wheel
+        if: ${{ strategy.job-index == 0 && inputs.host-platform == 'linux-64' }}
+        run: |
+          twine check cuda_pathfinder/*.whl
+
+      - name: Upload cuda.pathfinder build artifacts
+        if: ${{ strategy.job-index == 0 && inputs.host-platform == 'linux-64' }}
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02  # v4.6.2
+        with:
+          name: cuda-pathfinder-wheel
+          path: cuda_pathfinder/*.whl
+          if-no-files-found: error
+
       - name: Build cuda.core wheel
         uses: pypa/cibuildwheel@5f22145df44122af0f5a201f93cf0207171beca7  # v3.0.0
         env:
@@ -96,7 +132,6 @@ jobs:
 
       - name: Check cuda.core wheel
         run: |
-          pip install twine
           twine check ${{ env.CUDA_CORE_ARTIFACTS_DIR }}/*.whl
 
       - name: Upload cuda.core build artifacts
@@ -200,6 +235,10 @@ jobs:
           # For caching
           echo "PY_EXT_SUFFIX=$(python -c "import sysconfig; print(sysconfig.get_config_var('EXT_SUFFIX'))")" >> $GITHUB_ENV
 
+      - name: Install cuda.pathfinder (required for next step)
+        run: |
+          pip install cuda_pathfinder/*.whl
+
       - name: Build cuda.bindings Cython tests
         run: |
           pip install $(ls ${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }}/*.whl)[test]

.github/workflows/test-wheel-linux.yml

@@ -163,6 +163,12 @@ jobs:
           SHA: ${{ github.sha }}
         run: ./ci/tools/env-vars test
 
+      - name: Download cuda-pathfinder build artifacts
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093  # v4.3.0
+        with:
+          name: cuda-pathfinder-wheel
+          path: ./cuda_pathfinder
+
       - name: Download cuda-python build artifacts
         if: ${{ env.SKIP_CUDA_BINDINGS_TEST == '0'}}
         uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093  # v4.3.0
@@ -286,6 +292,11 @@ jobs:
       - name: Set up compute-sanitizer
         run: setup-sanitizer
 
+      - name: Run cuda.pathfinder tests with see_what_works
+        env:
+          CUDA_PATHFINDER_TEST_LOAD_NVIDIA_DYNAMIC_LIB_STRICTNESS: see_what_works
+        run: run-tests pathfinder
+
       - name: Run cuda.bindings tests
         if: ${{ env.SKIP_CUDA_BINDINGS_TEST == '0' }}
         env:
@@ -306,3 +317,17 @@ jobs:
           else
             pip install $(ls cuda_python*.whl)[all]
           fi
+
+      - name: Install cuda.pathfinder nvidia_wheels_cu12
+        if: startsWith(matrix.CUDA_VER, '12.')
+        run: |
+          pushd cuda_pathfinder
+          pip install -v .[nvidia_wheels_cu12]
+          pip freeze
+          popd
+
+      - name: Run cuda.pathfinder tests with all_must_work
+        if: startsWith(matrix.CUDA_VER, '12.')
+        env:
+          CUDA_PATHFINDER_TEST_LOAD_NVIDIA_DYNAMIC_LIB_STRICTNESS: all_must_work
+        run: run-tests pathfinder

.github/workflows/test-wheel-windows.yml

@@ -121,6 +121,12 @@ jobs:
         shell: bash --noprofile --norc -xeuo pipefail {0}
         run: ./ci/tools/env-vars test
 
+      - name: Download cuda-pathfinder build artifacts
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093  # v4.3.0
+        with:
+          name: cuda-pathfinder-wheel
+          path: ./cuda_pathfinder
+
       - name: Download cuda-python build artifacts
         if: ${{ env.SKIP_CUDA_BINDINGS_TEST == '0'}}
         uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093  # v4.3.0
@@ -184,7 +190,7 @@ jobs:
           New-Item -Path "${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }}" -ItemType Directory -Force
           Move-Item -Path "$OLD_BASENAME/*.whl" -Destination "${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }}"
           Remove-Item -Path $OLD_BASENAME -Force
-      
+
           gh run download $LATEST_PRIOR_RUN_ID -p cuda-python-wheel -R NVIDIA/cuda-python
           Get-ChildItem -Path cuda-python-wheel
           Move-Item -Path "cuda-python-wheel/*.whl" -Destination .
@@ -250,6 +256,12 @@ jobs:
           host-platform: ${{ inputs.host-platform }}
           cuda-version: ${{ matrix.CUDA_VER }}
 
+      - name: Run cuda.pathfinder tests with see_what_works
+        env:
+          CUDA_PATHFINDER_TEST_LOAD_NVIDIA_DYNAMIC_LIB_STRICTNESS: see_what_works
+        shell: bash --noprofile --norc -xeuo pipefail {0}
+        run: run-tests pathfinder
+
       - name: Run cuda.bindings tests
         if: ${{ env.SKIP_CUDA_BINDINGS_TEST == '0' }}
         env:
@@ -272,3 +284,19 @@ jobs:
           } else {
             pip install "$((Get-ChildItem -Filter cuda_python*.whl).FullName)[all]"
           }
+
+      - name: Install cuda.pathfinder nvidia_wheels_cu12
+        if: startsWith(matrix.CUDA_VER, '12.')
+        shell: bash --noprofile --norc -xeuo pipefail {0}
+        run: |
+          pushd cuda_pathfinder
+          pip install -v .[nvidia_wheels_cu12]
+          pip freeze
+          popd
+
+      - name: Run cuda.pathfinder tests with all_must_work
+        if: startsWith(matrix.CUDA_VER, '12.')
+        env:
+          CUDA_PATHFINDER_TEST_LOAD_NVIDIA_DYNAMIC_LIB_STRICTNESS: all_must_work
+        shell: bash --noprofile --norc -xeuo pipefail {0}
+        run: run-tests pathfinder

ci/tools/run-tests

@@ -9,15 +9,33 @@
 set -euo pipefail
 
 # Check if the script was called with exactly 1 argument
-if [[ ${#} -ne 1 && ( "${1}" == "bindings" || "${1}" == "core" ) ]]; then
-  echo "Error: This script requires exactly 1 argument (what is tested). You provided ${#}"
-  echo "Usage: ${0} test_module[bindings or core]"
+if [[ ${#} -ne 1 ]]; then
+  echo "Error: This script requires exactly 1 argument. You provided ${#}"
+  exit 1
+fi
+if [[ "${1}" != "bindings" && "${1}" != "core" && "${1}" != "pathfinder" ]]; then
+  echo "Error: Invalid test module '${1}'. Must be 'bindings', 'core', or 'pathfinder'"
   exit 1
 fi
 
 test_module=${1}
 
-if [[ "${test_module}" == "bindings" ]]; then
+# Unconditionally install pathfinder wheel
+# (it is a direct dependency of bindings, and a transitive dependency of core)
+pushd ./cuda_pathfinder
+echo "Installing pathfinder wheel"
+pwd
+ls
+pip install $(ls *.whl)[test]
+popd
+
+if [[ "${test_module}" == "pathfinder" ]]; then
+  pushd ./cuda_pathfinder
+  echo "Running pathfinder tests with ${CUDA_PATHFINDER_TEST_LOAD_NVIDIA_DYNAMIC_LIB_STRICTNESS}"
+  pwd
+  pytest -ra -s -v tests/
+  popd
+elif [[ "${test_module}" == "bindings" ]]; then
   pushd "${CUDA_BINDINGS_ARTIFACTS_DIR}"
   echo "Installing bindings wheel"
   pwd

cuda_bindings/cuda/bindings/_path_finder/README.md

@@ -1,56 +1 @@
-# `cuda.bindings.path_finder` Module
-
-## Public API (Work in Progress)
-
-Currently exposes two primary interfaces:
-
-```
-cuda.bindings.path_finder._SUPPORTED_LIBNAMES  # ('nvJitLink', 'nvrtc', 'nvvm')
-cuda.bindings.path_finder._load_nvidia_dynamic_library(libname: str) -> LoadedDL
-```
-
-**Note:**
-These APIs are prefixed with an underscore because they are considered
-experimental while undergoing active development, although already
-reasonably well-tested through CI pipelines.
-
-## Library Loading Search Priority
-
-The `load_nvidia_dynamic_library()` function implements a hierarchical search
-strategy for locating NVIDIA shared libraries:
-
-0. **Check if a library was loaded into the process already by some other means.**
-   - If yes, there is no alternative to skipping the rest of the search logic.
-     The absolute path of the already loaded library will be returned, along
-     with the handle to the library.
-
-1. **NVIDIA Python wheels**
-   - Scans all site-packages to find libraries installed via NVIDIA Python wheels.
-
-2. **OS default mechanisms / Conda environments**
-   - Falls back to native loader:
-     - `dlopen()` on Linux
-     - `LoadLibraryW()` on Windows
-   - Conda installations are expected to be discovered:
-     - Linux: Via `$ORIGIN/../lib` on `RPATH` (of the `python` binary;
-       note that this preempts `LD_LIBRARY_PATH` and `/etc/ld.so.conf.d/`)
-     - Windows: Via `%CONDA_PREFIX%\Library\bin` on system `PATH`
-   - CTK installations with system config updates are expected to be discovered:
-     - Linux: Via `/etc/ld.so.conf.d/*cuda*.conf`
-     - Windows: Via `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vX.Y\bin` on system `PATH`
-
-3. **Environment variables**
-   - Relies on `CUDA_HOME` or `CUDA_PATH` environment variables if set
-     (in that order).
-
-Note that the search is done on a per-library basis. There is no centralized
-mechanism that ensures all libraries are found in the same way.
-
-## Maintenance Requirements
-
-These key components must be updated for new CUDA Toolkit releases:
-
-- `supported_libs.SUPPORTED_LIBNAMES`
-- `supported_libs.SUPPORTED_WINDOWS_DLLS`
-- `supported_libs.SUPPORTED_LINUX_SONAMES`
-- `supported_libs.EXPECTED_LIB_SYMBOLS`
+# The `cuda.bindings.path_finder` module was moved → `cuda.pathfinder`

cuda_bindings/cuda/bindings/path_finder.py

@@ -1,11 +1,8 @@
 # Copyright 2024-2025 NVIDIA Corporation.  All rights reserved.
-#
 # SPDX-License-Identifier: LicenseRef-NVIDIA-SOFTWARE-LICENSE
 
-from cuda.bindings._path_finder.load_nvidia_dynamic_library import (
-    load_nvidia_dynamic_library as _load_nvidia_dynamic_library,
-)
-from cuda.bindings._path_finder.supported_libs import SUPPORTED_LIBNAMES as _SUPPORTED_LIBNAMES
+from cuda.pathfinder import SUPPORTED_NVIDIA_LIBNAMES as _SUPPORTED_LIBNAMES
+from cuda.pathfinder import load_nvidia_dynamic_lib as _load_nvidia_dynamic_library
 
 __all__ = [
     "_load_nvidia_dynamic_library",

cuda_bindings/pyproject.toml

@@ -27,6 +27,7 @@ dynamic = [
     "readme",
 ]
 dependencies = [
+  "cuda-pathfinder",
   "pywin32; sys_platform == 'win32'",
 ]