Correcting Misleading Test Skip Reasons.

tests/python/pytorch/graphbolt/impl/test_gpu_cached_feature.py

@@ -17,10 +17,22 @@ def to_on_disk_numpy(test_dir, name, t):
     return path
 
 
+def _skip_condition_CachedFeature():
+    return (F._default_context_str != "gpu") or (
+        torch.cuda.get_device_capability()[0] < 7
+    )
+
+
+def _reason_to_skip_CachedFeature():
+    if F._default_context_str != "gpu":
+        return "GPUCachedFeature tests are available only when testing the GPU backend."
+
+    return "GPUCachedFeature requires a Volta or later generation NVIDIA GPU."
+
+
 @unittest.skipIf(
-    F._default_context_str != "gpu"
-    or torch.cuda.get_device_capability()[0] < 7,
-    reason="GPUCachedFeature requires a Volta or later generation NVIDIA GPU.",
+    _skip_condition_CachedFeature(),
+    reason=_reason_to_skip_CachedFeature(),
 )
 @pytest.mark.parametrize(
     "dtype",
@@ -116,9 +128,8 @@ def test_gpu_cached_feature(dtype, cache_size_a, cache_size_b):
 
 
 @unittest.skipIf(
-    F._default_context_str != "gpu"
-    or torch.cuda.get_device_capability()[0] < 7,
-    reason="GPUCachedFeature requires a Volta or later generation NVIDIA GPU.",
+    _skip_condition_CachedFeature(),
+    reason=_reason_to_skip_CachedFeature(),
 )
 @pytest.mark.parametrize(
     "dtype",
@@ -155,9 +166,8 @@ def test_gpu_cached_feature_read_async(dtype, pin_memory):
 
 
 @unittest.skipIf(
-    F._default_context_str != "gpu"
-    or torch.cuda.get_device_capability()[0] < 7,
-    reason="GPUCachedFeature requires a Volta or later generation NVIDIA GPU.",
+    _skip_condition_CachedFeature(),
+    reason=_reason_to_skip_CachedFeature(),
 )
 @unittest.skipIf(
     not torch.ops.graphbolt.detect_io_uring(),

tests/python/pytorch/graphbolt/impl/test_gpu_graph_cache.py

@@ -11,7 +11,7 @@
 @unittest.skipIf(
     F._default_context_str != "gpu"
     or torch.cuda.get_device_capability()[0] < 7,
-    reason="GPUCachedFeature tests are available only on GPU."
+    reason="GPUCachedFeature tests are available only when testing the GPU backend."
     if F._default_context_str != "gpu"
     else "GPUCachedFeature requires a Volta or later generation NVIDIA GPU.",
 )

tests/python/pytorch/graphbolt/impl/test_hetero_cached_feature.py

@@ -15,7 +15,9 @@ def test_hetero_cached_feature(cached_feature_type):
         or torch.cuda.get_device_capability()[0] < 7
     ):
         pytest.skip(
-            "GPUCachedFeature requires a Volta or later generation NVIDIA GPU."
+            "GPUCachedFeature tests are available only when testing the GPU backend."
+            if F._default_context_str != "gpu"
+            else "GPUCachedFeature requires a Volta or later generation NVIDIA GPU."
         )
     device = F.ctx() if cached_feature_type == gb.gpu_cached_feature else None
     pin_memory = cached_feature_type == gb.gpu_cached_feature