Move pathfinder to cuda-python top level

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_pathfinder/LICENSE

@@ -0,0 +1,177 @@
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cuda_pathfinder/cuda/pathfinder/README.md

@@ -0,0 +1,51 @@
+# `cuda.pathfinder` Module
+
+## Public API (Work in Progress)
+
+Currently exposes two primary interfaces:
+
+```
+cuda.pathfinder.SUPPORTED_LIBNAMES  # ('nvJitLink', 'nvrtc', 'nvvm')
+cuda.pathfinder.nvidia_dynamic_libs.load_lib(libname: str) -> LoadedDL
+```
+
+## Dynamic Library Loading Search Priority
+
+The `cuda.pathfinder.nvidia_dynamic_libs.load_lib` 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. Currently 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_nvidia_libs.SUPPORTED_LIBNAMES`
+- `supported_nvidia_libs.SUPPORTED_WINDOWS_DLLS`
+- `supported_nvidia_libs.SUPPORTED_LINUX_SONAMES`
+- `supported_nvidia_libs.EXPECTED_LIB_SYMBOLS`

cuda_pathfinder/cuda/pathfinder/__init__.py

@@ -0,0 +1,23 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+from cuda.pathfinder._dynamic_libs import load_nvidia_dynamic_lib as _load_nvidia_dynamic_lib
+from cuda.pathfinder._dynamic_libs.load_dl_common import LoadedDL
+from cuda.pathfinder._dynamic_libs.supported_nvidia_libs import SUPPORTED_LIBNAMES as SUPPORTED_NVIDIA_LIBNAMES
+
+__all__ = ["SUPPORTED_NVIDIA_LIBNAMES", "load_nvidia_dynamic_lib"]
+
+
+def load_nvidia_dynamic_lib(libname: str) -> LoadedDL:
+    """Load a NVIDIA dynamic library by name.
+
+    Args:
+        libname: The name of the library to load (e.g. "cudart", "nvvm", etc.)
+
+    Returns:
+        A LoadedDL object containing the library handle and path
+
+    Raises:
+        RuntimeError: If the library cannot be found or loaded
+    """
+    return _load_nvidia_dynamic_lib.load_lib(libname)