From 5234f71ace6a7328411fdb33ec31c5ea3c02e7a9 Mon Sep 17 00:00:00 2001 From: Jacob Tomlinson Date: Thu, 5 Mar 2026 10:57:39 +0000 Subject: [PATCH 1/2] Add CUDA toolkit major version check --- pyproject.toml | 1 + .../doctor/checks/cuda_version_mismatch.py | 78 +++ .../tests/test_cuda_version_mismatch.py | 101 ++++ uv.lock | 499 ++++++++++++++++++ 4 files changed, 679 insertions(+) create mode 100644 rapids_cli/doctor/checks/cuda_version_mismatch.py create mode 100644 rapids_cli/tests/test_cuda_version_mismatch.py create mode 100644 uv.lock diff --git a/pyproject.toml b/pyproject.toml index 10f13aa..b11b1ba 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -32,6 +32,7 @@ gpu_compute_capability = "rapids_cli.doctor.checks.gpu:check_gpu_compute_capabil cuda = "rapids_cli.doctor.checks.cuda_driver:cuda_check" memory_to_gpu_ratio = "rapids_cli.doctor.checks.memory:check_memory_to_gpu_ratio" nvlink_status = "rapids_cli.doctor.checks.nvlink:check_nvlink_status" +cuda_version_mismatch = "rapids_cli.doctor.checks.cuda_version_mismatch:check_cuda_major_version_mismatch" [project.urls] Homepage = "https://github.com/rapidsai/rapids-cli" diff --git a/rapids_cli/doctor/checks/cuda_version_mismatch.py b/rapids_cli/doctor/checks/cuda_version_mismatch.py new file mode 100644 index 0000000..ec8488a --- /dev/null +++ b/rapids_cli/doctor/checks/cuda_version_mismatch.py @@ -0,0 +1,78 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +"""Check for CUDA toolkit vs driver major version mismatch.""" + +import re +import warnings +from pathlib import Path + +import cuda.pathfinder +import pynvml + + +def _get_driver_cuda_major() -> int: + """Return the CUDA major version supported by the installed driver via pynvml.""" + pynvml.nvmlInit() + return pynvml.nvmlSystemGetCudaDriverVersion() // 1000 + + +def _get_toolkit_cuda_major() -> int | None: + """Return the CUDA major version of the toolkit found via cuda-pathfinder, or None.""" + header_dir = cuda.pathfinder.find_nvidia_header_directory("cudart") + if header_dir is None: + return None + version_file = Path(header_dir) / "cuda_runtime_version.h" + if not version_file.exists(): + return None + match = re.search(r"#define\s+CUDA_VERSION\s+(\d+)", version_file.read_text()) + return int(match.group(1)) // 1000 if match else None + + +def check_cuda_major_version_mismatch( + verbose=False, + get_driver_cuda_major=_get_driver_cuda_major, + get_toolkit_cuda_major=_get_toolkit_cuda_major, + **kwargs, +) -> bool | str: + """Check that the CUDA toolkit major version matches the driver's supported CUDA major version. + + Args: + verbose: If True, return a descriptive string on success. + get_driver_cuda_major: Callable returning the driver's max CUDA major version. + get_toolkit_cuda_major: Callable returning the toolkit CUDA major version, or None. + **kwargs: Accepted for forward compatibility. + + Returns: + True on success, or a descriptive string if verbose is True. + + Raises: + ValueError: If no driver is found or if the toolkit and driver major versions differ. + """ + try: + driver_major = get_driver_cuda_major() + except pynvml.NVMLError as e: + raise ValueError("Unable to determine driver CUDA version. Is an NVIDIA driver installed?") from e + + toolkit_major = get_toolkit_cuda_major() + if toolkit_major is None: + warnings.warn("No CUDA toolkit found in the current environment; skipping toolkit version check.") + return True + + if toolkit_major > driver_major: + raise ValueError( + f"CUDA toolkit major version ({toolkit_major}) is newer than what the installed driver supports " + f"({driver_major}). Update your NVIDIA driver to one that supports CUDA {toolkit_major} or " + f"downgrade your CUDA toolkit to CUDA {driver_major}." + ) + + if toolkit_major < driver_major: + raise ValueError( + f"CUDA toolkit major version ({toolkit_major}) is older than the driver's supported CUDA major version " + f"({driver_major}). Upgrade your CUDA toolkit to CUDA {driver_major} or " + f"downgrade your NVIDIA driver to one that supports CUDA {toolkit_major}." + ) + + if verbose: + return f"CUDA toolkit major version ({toolkit_major}) matches driver CUDA major version ({driver_major})." + + return True diff --git a/rapids_cli/tests/test_cuda_version_mismatch.py b/rapids_cli/tests/test_cuda_version_mismatch.py new file mode 100644 index 0000000..fe7c420 --- /dev/null +++ b/rapids_cli/tests/test_cuda_version_mismatch.py @@ -0,0 +1,101 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +import warnings +from pathlib import Path +from unittest.mock import patch, MagicMock + +import pytest +import pynvml + +from rapids_cli.doctor.checks.cuda_version_mismatch import ( + check_cuda_major_version_mismatch, + _get_driver_cuda_major, + _get_toolkit_cuda_major, +) + + +def test_versions_match(): + result = check_cuda_major_version_mismatch( + get_driver_cuda_major=lambda: 12, + get_toolkit_cuda_major=lambda: 12, + ) + assert result is True + + +def test_toolkit_older_than_driver(): + with pytest.raises(ValueError, match="older than the driver"): + check_cuda_major_version_mismatch( + get_driver_cuda_major=lambda: 12, + get_toolkit_cuda_major=lambda: 11, + ) + + +def test_toolkit_newer_than_driver(): + with pytest.raises(ValueError, match="CUDA toolkit major version"): + check_cuda_major_version_mismatch( + get_driver_cuda_major=lambda: 11, + get_toolkit_cuda_major=lambda: 12, + ) + + +def test_no_toolkit_found(): + with warnings.catch_warnings(record=True) as caught: + warnings.simplefilter("always") + result = check_cuda_major_version_mismatch( + get_driver_cuda_major=lambda: 12, + get_toolkit_cuda_major=lambda: None, + ) + assert result is True + assert len(caught) == 1 + assert "No CUDA toolkit found" in str(caught[0].message) + + +def test_no_driver(): + def raise_nvml_error(): + raise pynvml.NVMLError(pynvml.NVML_ERROR_DRIVER_NOT_LOADED) + + with pytest.raises(ValueError, match="Unable to determine driver CUDA version"): + check_cuda_major_version_mismatch( + get_driver_cuda_major=raise_nvml_error, + get_toolkit_cuda_major=lambda: 12, + ) + + +def test_verbose_output(): + result = check_cuda_major_version_mismatch( + verbose=True, + get_driver_cuda_major=lambda: 12, + get_toolkit_cuda_major=lambda: 12, + ) + assert isinstance(result, str) + assert "12" in result + + +def test_get_driver_cuda_major(): + with ( + patch("pynvml.nvmlInit"), + patch("pynvml.nvmlSystemGetCudaDriverVersion", return_value=12040), + ): + assert _get_driver_cuda_major() == 12 + + +def test_get_toolkit_cuda_major_no_header_dir(): + with patch("cuda.pathfinder.find_nvidia_header_directory", return_value=None): + assert _get_toolkit_cuda_major() is None + + +def test_get_toolkit_cuda_major_file_missing(tmp_path): + with patch("cuda.pathfinder.find_nvidia_header_directory", return_value=str(tmp_path)): + assert _get_toolkit_cuda_major() is None + + +def test_get_toolkit_cuda_major_no_match(tmp_path): + (tmp_path / "cuda_runtime_version.h").write_text("/* no version define here */") + with patch("cuda.pathfinder.find_nvidia_header_directory", return_value=str(tmp_path)): + assert _get_toolkit_cuda_major() is None + + +def test_get_toolkit_cuda_major_success(tmp_path): + (tmp_path / "cuda_runtime_version.h").write_text("#define CUDA_VERSION 12040\n") + with patch("cuda.pathfinder.find_nvidia_header_directory", return_value=str(tmp_path)): + assert _get_toolkit_cuda_major() == 12 diff --git 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-import warnings from pathlib import Path import cuda.pathfinder @@ -46,16 +45,12 @@ def check_cuda_major_version_mismatch( True on success, or a descriptive string if verbose is True. Raises: - ValueError: If no driver is found or if the toolkit and driver major versions differ. + ValueError: If the toolkit and driver major versions differ. """ - try: - driver_major = get_driver_cuda_major() - except pynvml.NVMLError as e: - raise ValueError("Unable to determine driver CUDA version. Is an NVIDIA driver installed?") from e + driver_major = get_driver_cuda_major() toolkit_major = get_toolkit_cuda_major() if toolkit_major is None: - warnings.warn("No CUDA toolkit found in the current environment; skipping toolkit version check.") return True if toolkit_major > driver_major: diff --git a/rapids_cli/tests/test_cuda_version_mismatch.py b/rapids_cli/tests/test_cuda_version_mismatch.py index fe7c420..b2ba440 100644 --- a/rapids_cli/tests/test_cuda_version_mismatch.py +++ b/rapids_cli/tests/test_cuda_version_mismatch.py @@ -1,11 +1,8 @@ # SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 -import warnings -from pathlib import Path -from unittest.mock import patch, MagicMock +from unittest.mock import patch import pytest -import pynvml from rapids_cli.doctor.checks.cuda_version_mismatch import ( check_cuda_major_version_mismatch, @@ -38,29 +35,6 @@ def test_toolkit_newer_than_driver(): ) -def test_no_toolkit_found(): - with warnings.catch_warnings(record=True) as caught: - warnings.simplefilter("always") - result = check_cuda_major_version_mismatch( - get_driver_cuda_major=lambda: 12, - get_toolkit_cuda_major=lambda: None, - ) - assert result is True - assert len(caught) == 1 - assert "No CUDA toolkit found" in str(caught[0].message) - - -def test_no_driver(): - def raise_nvml_error(): - raise pynvml.NVMLError(pynvml.NVML_ERROR_DRIVER_NOT_LOADED) - - with pytest.raises(ValueError, match="Unable to determine driver CUDA version"): - check_cuda_major_version_mismatch( - get_driver_cuda_major=raise_nvml_error, - get_toolkit_cuda_major=lambda: 12, - ) - - def test_verbose_output(): result = check_cuda_major_version_mismatch( verbose=True,