ci: run unit-tests-cudf-pandas on branch-25.06 workflow (#18692)

Support for Python 3.13 was added in #18648, however the
`cudf-pandas-unit-test` job requires some extra attention to refactor how it
pulls in compatible versions of Pandas (Python 3.13 support was added to Pandas
in version 2.2.3).

Until someone has time to investigate and fix that, moving this job away from
the Python 3.13 workflows to get nightlies passing.

Authors:
  - Gil Forsyth (https://github.com/gforsyth)
  - David Wendt (https://github.com/davidwendt)
  - Bradley Dice (https://github.com/bdice)

Approvers:
  - Bradley Dice (https://github.com/bdice)
  - GALI PREM SAGAR (https://github.com/galipremsagar)
  - Vyas Ramasubramani (https://github.com/vyasr)

URL: #18692

Author: gforsyth

.github/workflows/pr.yaml

@@ -318,7 +318,7 @@ jobs:
   unit-tests-cudf-pandas:
     needs: [wheel-build-cudf, changed-files]
     secrets: inherit
-    uses: rapidsai/shared-workflows/.github/workflows/wheels-test.yaml@python-3.13
+    uses: rapidsai/shared-workflows/.github/workflows/wheels-test.yaml@branch-25.06
     if: fromJSON(needs.changed-files.outputs.changed_file_groups).test_python || fromJSON(needs.changed-files.outputs.changed_file_groups).test_cudf_pandas
     with:
       # This selects "ARCH=amd64 + the latest supported Python + CUDA".

python/cudf/cudf/utils/gpu_utils.py

@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2024, NVIDIA CORPORATION.
+# Copyright (c) 2020-2025, NVIDIA CORPORATION.
 
 
 def validate_setup():
@@ -15,7 +15,10 @@ def validate_setup():
 
     import warnings
 
-    from cuda.bindings.runtime import cudaDeviceAttr, cudaError_t
+    from cuda.bindings.runtime import (
+        cudaDeviceAttr,
+        cudaError_t,
+    )
 
     from rmm._cuda.gpu import (
         CUDARuntimeError,
@@ -30,7 +33,6 @@ def validate_setup():
 
     notify_caller_errors = {
         cudaError_t.cudaErrorInitializationError,
-        cudaError_t.cudaErrorInsufficientDriver,
         cudaError_t.cudaErrorInvalidDeviceFunction,
         cudaError_t.cudaErrorInvalidDevice,
         cudaError_t.cudaErrorStartupFailure,
@@ -53,12 +55,23 @@ def validate_setup():
     except CUDARuntimeError as e:
         if e.status in notify_caller_errors:
             raise e
+
+        # We must distinguish between "CPU only" and "the driver is
+        # insufficient for the runtime".
+        if e.status == cudaError_t.cudaErrorInsufficientDriver:
+            # cudaDriverGetVersion() returns 0 when ``libcuda.so`` is
+            # missing. Otherwise there is a CUDA driver but it is
+            # insufficient for the runtime, so we re-raise the original
+            # exception
+            if driverGetVersion() != 0:
+                raise e
+
         # If there is no GPU detected, set `gpus_count` to -1
         gpus_count = -1
     except RuntimeError as e:
-        # getDeviceCount() can raise a RuntimeError
-        # when ``libcuda.so`` is missing.
-        # We don't want this to propagate up to the user.
+        # When using cuda-python < 12.9, getDeviceCount() can raise a
+        # RuntimeError if ``libcuda.so`` is missing. We don't want this to
+        # propagate up to the user.
         warnings.warn(str(e))
         return