[pathfinder] Add DynamicLibUnknownError, DynamicLibNotAvailableError and prepare for v1.4.0 release

cuda_pathfinder/cuda/pathfinder/__init__.py

@@ -7,7 +7,13 @@
     find_nvidia_binary_utility as find_nvidia_binary_utility,
 )
 from cuda.pathfinder._binaries.supported_nvidia_binaries import SUPPORTED_BINARIES as _SUPPORTED_BINARIES
+from cuda.pathfinder._dynamic_libs.load_dl_common import (
+    DynamicLibNotAvailableError as DynamicLibNotAvailableError,
+)
 from cuda.pathfinder._dynamic_libs.load_dl_common import DynamicLibNotFoundError as DynamicLibNotFoundError
+from cuda.pathfinder._dynamic_libs.load_dl_common import (
+    DynamicLibUnknownError as DynamicLibUnknownError,
+)
 from cuda.pathfinder._dynamic_libs.load_dl_common import LoadedDL as LoadedDL
 from cuda.pathfinder._dynamic_libs.load_nvidia_dynamic_lib import load_nvidia_dynamic_lib as load_nvidia_dynamic_lib
 from cuda.pathfinder._dynamic_libs.supported_nvidia_libs import (

cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_dl_common.py

@@ -11,6 +11,14 @@ class DynamicLibNotFoundError(RuntimeError):
     pass
 
 
+class DynamicLibNotAvailableError(DynamicLibNotFoundError):
+    pass
+
+
+class DynamicLibUnknownError(DynamicLibNotFoundError):
+    pass
+
+
 @dataclass
 class LoadedDL:
     abs_path: str | None

cuda_pathfinder/cuda/pathfinder/_dynamic_libs/load_nvidia_dynamic_lib.py

@@ -11,7 +11,13 @@
     _FindNvidiaDynamicLib,
     derive_ctk_root,
 )
-from cuda.pathfinder._dynamic_libs.load_dl_common import DynamicLibNotFoundError, LoadedDL, load_dependencies
+from cuda.pathfinder._dynamic_libs.load_dl_common import (
+    DynamicLibNotAvailableError,
+    DynamicLibNotFoundError,
+    DynamicLibUnknownError,
+    LoadedDL,
+    load_dependencies,
+)
 from cuda.pathfinder._dynamic_libs.supported_nvidia_libs import (
     _CTK_ROOT_CANARY_ANCHOR_LIBNAMES,
     _CTK_ROOT_CANARY_DISCOVERABLE_LIBNAMES,
@@ -41,6 +47,8 @@
 _ALL_SUPPORTED_LIBNAMES: frozenset[str] = frozenset(
     (SUPPORTED_WINDOWS_DLLS if IS_WINDOWS else SUPPORTED_LINUX_SONAMES).keys()
 )
+_ALL_KNOWN_LIBNAMES: frozenset[str] = frozenset(SUPPORTED_LINUX_SONAMES) | frozenset(SUPPORTED_WINDOWS_DLLS)
+_PLATFORM_NAME = "Windows" if IS_WINDOWS else "Linux"
 
 # Driver libraries: shipped with the NVIDIA display driver, always on the
 # system linker path.  These skip all CTK search steps (site-packages,
@@ -205,7 +213,9 @@ def load_nvidia_dynamic_lib(libname: str) -> LoadedDL:
         https://github.com/NVIDIA/cuda-python/issues/1011
 
     Raises:
-        ValueError: If ``libname`` is not a recognized library name.
+        DynamicLibUnknownError: If ``libname`` is not a recognized library name.
+        DynamicLibNotAvailableError: If ``libname`` is recognized but not
+            supported on this platform.
         DynamicLibNotFoundError: If the library cannot be found or loaded.
         RuntimeError: If Python is not 64-bit.
 
@@ -278,6 +288,11 @@ def load_nvidia_dynamic_lib(libname: str) -> LoadedDL:
             f" Currently running: {pointer_size_bits}-bit Python"
             f" {sys.version_info.major}.{sys.version_info.minor}"
         )
+    if libname not in _ALL_KNOWN_LIBNAMES:
+        raise DynamicLibUnknownError(f"Unknown library name: {libname!r}. Known names: {sorted(_ALL_KNOWN_LIBNAMES)}")
     if libname not in _ALL_SUPPORTED_LIBNAMES:
-        raise ValueError(f"Unsupported library name: {libname!r}. Supported names: {sorted(_ALL_SUPPORTED_LIBNAMES)}")
+        raise DynamicLibNotAvailableError(
+            f"Library name {libname!r} is known but not available on {_PLATFORM_NAME}. "
+            f"Supported names on {_PLATFORM_NAME}: {sorted(_ALL_SUPPORTED_LIBNAMES)}"
+        )
     return _load_lib_no_cache(libname)

cuda_pathfinder/docs/nv-versions.json

@@ -3,6 +3,10 @@
         "version": "latest",
         "url": "https://nvidia.github.io/cuda-python/cuda-pathfinder/latest/"
     },
+    {
+        "version": "1.4.0",
+        "url": "https://nvidia.github.io/cuda-python/cuda-pathfinder/1.4.0/"
+    },
     {
         "version": "1.3.5",
         "url": "https://nvidia.github.io/cuda-python/cuda-pathfinder/1.3.5/"

cuda_pathfinder/docs/source/api.rst

@@ -16,6 +16,8 @@ locating NVIDIA C/C++ header directories, and finding CUDA binary utilities.
    load_nvidia_dynamic_lib
    LoadedDL
    DynamicLibNotFoundError
+   DynamicLibUnknownError
+   DynamicLibNotAvailableError
 
    SUPPORTED_HEADERS_CTK
    SUPPORTED_HEADERS_NON_CTK

cuda_pathfinder/docs/source/release/1.3.5-notes.rst

@@ -8,12 +8,27 @@
 
 Released on Feb 23, 2026
 
+.. warning::
+
+   ``cuda-pathfinder==1.3.5`` introduced a short-lived backward-incompatible
+   exception regression in ``load_nvidia_dynamic_lib()`` (unsupported
+   library names incorrectly raising ``ValueError``).
+
+   This bug was corrected in ``cuda-pathfinder>=1.4.0``, restoring backward-compatible
+   ``DynamicLibNotFoundError`` subclass behavior while preserving more specific
+   error signaling.
+
+   See `Issue #1684 <https://github.com/NVIDIA/cuda-python/issues/1684>`_ and
+   `PR #1688 <https://github.com/NVIDIA/cuda-python/pull/1688>`_.
+
 Highlights
 ----------
 
 * Add support for loading NVIDIA driver libraries (``"cuda"``, ``"nvml"``)
   via ``load_nvidia_dynamic_lib()``, and reject unsupported library names
-  with ``ValueError``.
+  with ``ValueError`` (**EDIT:** this behavior was
+  `a regression <https://github.com/NVIDIA/cuda-python/issues/1684>`_
+  and was corrected in ``cuda-pathfinder>=1.4.0``).
   (`PR #1602 <https://github.com/NVIDIA/cuda-python/pull/1602>`_)
 
 * Add bitcode library discovery helpers and public API support, including

cuda_pathfinder/docs/source/release/1.4.0-notes.rst

@@ -0,0 +1,23 @@
+.. SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+.. SPDX-License-Identifier: Apache-2.0
+
+.. py:currentmodule:: cuda.pathfinder
+
+``cuda-pathfinder`` 1.4.0 Release notes
+=======================================
+
+Released on Feb 25, 2026
+
+Highlights
+----------
+
+* Add CTK root canary probing for non-standard-path libraries in
+  ``load_nvidia_dynamic_lib()`` (notably ``nvvm``), including spawned child
+  process isolation for the canary probe.
+  (`PR #1595 <https://github.com/NVIDIA/cuda-python/pull/1595>`_)
+
+* Restore backward-compatible exception behavior for
+  ``load_nvidia_dynamic_lib()`` argument validation by replacing the short-lived
+  ``ValueError`` introduced in ``1.3.5`` with ``DynamicLibNotFoundError``
+  subclasses: ``DynamicLibUnknownError`` and ``DynamicLibNotAvailableError``.
+  (`PR #1688 <https://github.com/NVIDIA/cuda-python/pull/1688>`_)

cuda_pathfinder/tests/test_load_nvidia_dynamic_lib.py

@@ -9,7 +9,8 @@
 from child_load_nvidia_dynamic_lib_helper import build_child_process_failed_for_libname_message, child_process_func
 from local_helpers import have_distribution
 
-from cuda.pathfinder import load_nvidia_dynamic_lib
+from cuda.pathfinder import DynamicLibNotAvailableError, DynamicLibUnknownError, load_nvidia_dynamic_lib
+from cuda.pathfinder._dynamic_libs import load_nvidia_dynamic_lib as load_nvidia_dynamic_lib_module
 from cuda.pathfinder._dynamic_libs import supported_nvidia_libs
 from cuda.pathfinder._utils.platform_aware import IS_WINDOWS, quote_for_shell
 from cuda.pathfinder._utils.spawned_process_runner import run_in_spawned_child_process
@@ -69,11 +70,23 @@ def test_runtime_error_on_non_64bit_python(mocker):
         load_nvidia_dynamic_lib("cudart")
 
 
-def test_unsupported_libname_raises_value_error():
-    with pytest.raises(ValueError, match=r"Unsupported library name: 'not_a_real_lib'.*cudart"):
+def test_unknown_libname_raises_dynamic_lib_unknown_error():
+    with pytest.raises(DynamicLibUnknownError, match=r"Unknown library name: 'not_a_real_lib'.*cudart"):
         load_nvidia_dynamic_lib("not_a_real_lib")
 
 
+def test_known_but_platform_unavailable_libname_raises_dynamic_lib_not_available_error(monkeypatch):
+    load_nvidia_dynamic_lib.cache_clear()
+    monkeypatch.setattr(load_nvidia_dynamic_lib_module, "_ALL_KNOWN_LIBNAMES", frozenset(("known_but_unavailable",)))
+    monkeypatch.setattr(load_nvidia_dynamic_lib_module, "_ALL_SUPPORTED_LIBNAMES", frozenset())
+    monkeypatch.setattr(load_nvidia_dynamic_lib_module, "_PLATFORM_NAME", "TestOS")
+    with pytest.raises(
+        DynamicLibNotAvailableError,
+        match=r"known_but_unavailable.*not available on TestOS",
+    ):
+        load_nvidia_dynamic_lib("known_but_unavailable")
+
+
 IMPORTLIB_METADATA_DISTRIBUTIONS_NAMES = {
     "cufftMp": r"^nvidia-cufftmp-.*$",
     "mathdx": r"^nvidia-libmathdx-.*$",