Use per device device MR, add numpy requirement to test

Author: shwina

cuda_core/examples/memory_ops.py

@@ -19,7 +19,6 @@
 
 from cuda.core.experimental import (
     Device,
-    DeviceMemoryResource,
     LaunchConfig,
     LegacyPinnedMemoryResource,
     Program,
@@ -62,7 +61,7 @@
 kernel = mod.get_kernel("memory_ops")
 
 # Create different memory resources
-device_mr = DeviceMemoryResource(dev.device_id)
+device_mr = dev.memory_resource
 pinned_mr = LegacyPinnedMemoryResource()
 
 # Allocate different types of memory

cuda_core/tests/test_launcher.py

@@ -212,7 +212,13 @@ def test_cooperative_launch():
     "memory_resource_class",
     [
         DeviceMemoryResource,
-        LegacyPinnedMemoryResource,
+        pytest.param(
+            LegacyPinnedMemoryResource,
+            marks=pytest.mark.skipif(
+                tuple(int(i) for i in np.__version__.split(".")[:3]) < (2, 2, 5),
+                reason="need numpy 2.2.5+, numpy GH #28632",
+            ),
+        ),
     ],
 )
 def test_launch_with_buffers_allocated_by_memory_resource(init_cuda, memory_resource_class):