Catch CUDARuntimeError for mising CUDA capable device in reduction GPU test

tests/kernelcreation/test_reduction.py

@@ -2,6 +2,7 @@ import pytest
 import numpy as np
 
 import pystencils as ps
+from cupy_backends.cuda.api.runtime import CUDARuntimeError
 from pystencils.sympyextensions import reduction_assignment_from_str
 
 INIT_W = 5
@@ -48,8 +49,15 @@ def test_reduction_cpu(instruction_set, dtype, op):
 @pytest.mark.parametrize('dtype', ["float64", "float32"])
 @pytest.mark.parametrize("op", ["+", "-", "*", "min", "max"])
 def test_reduction_gpu(dtype, op):
-    pytest.importorskip('cupy')
-    import cupy as cp
+    try:
+        import cupy as cp
+
+        device_count = range(cp.cuda.runtime.getDeviceCount())
+        print(f"Found {device_count} GPUs")
+    except ImportError:
+        pytest.skip(reason="CuPy is not available", allow_module_level=True)
+    except CUDARuntimeError:
+        pytest.skip(reason="No CUDA capable device is detected", allow_module_level=True)
 
     config = ps.CreateKernelConfig(target=ps.Target.GPU)