Fix MIG-related tests in cuda.core.system

cuda_bindings/tests/nvml/conftest.py

@@ -106,8 +106,23 @@ def nmigs(handles):
 
 @pytest.fixture
 def mig_handles(nmigs):
-    handles = [nvml.device_get_mig_device_handle_by_index(i) for i in range(nmigs)]
-    assert len(handles) == nmigs
+    handles = []
+    with NVMLInitializer():
+        dev_count = nvml.device_get_count_v2()
+
+        for dev_idx in range(dev_count):
+            try:
+                dev = nvml.device_get_handle_by_index_v2(dev_idx)
+            except nvml.NoPermissionError:
+                continue
+            for mig_idx in range(nmigs):
+                try:
+                    mig = nvml.device_get_mig_device_handle_by_index(dev, mig_idx)
+                except nvml.NotFoundError:
+                    # Not all MIG devices may be available
+                    continue
+                else:
+                    handles.append(mig)
     return handles
 
 

cuda_bindings/tests/nvml/test_cuda.py

@@ -3,6 +3,8 @@
 
 import os
 
+import pytest
+
 import cuda.bindings.driver as cuda
 from cuda.bindings import nvml
 
@@ -56,6 +58,10 @@ def test_cuda_device_order():
     cuda_devices = get_cuda_device_names()
     nvml_devices = get_nvml_device_names()
 
+    if any("Thor" in device["name"] for device in nvml_devices):
+        pytest.skip("Skipping test on Thor, which has non-standard device naming")
+        return
+
     if "CUDA_VISIBLE_DEVICES" not in os.environ:
         # If that environment variable isn't set, the device lists should match exactly
         assert cuda_devices == nvml_devices, "CUDA and NVML device lists do not match"

cuda_bindings/tests/nvml/test_pynvml.py

@@ -187,7 +187,7 @@ def test_device_get_memory_info(ngpus, handles):
 
 def test_device_get_utilization_rates(ngpus, handles):
     for i in range(ngpus):
-        with unsupported_before(handles[i], "FERMI"):
+        with unsupported_before(handles[i], None):
             urate = nvml.device_get_utilization_rates(handles[i])
         assert urate.gpu >= 0
         assert urate.memory >= 0

cuda_core/cuda/core/system/_device.pyx

@@ -376,6 +376,15 @@ cdef class Device:
         -------
         cuda.core.Device
             The corresponding CUDA device.
+
+        Raises
+        ------
+        RuntimeError
+            No corresponding CUDA device is found for this NVML device.
+
+            For example, on a MIG system, the physical GPU will not have an
+            available CUDA device, since it can not be used directly, even
+            though it can be enumerated from NVML.
         """
         from cuda.core import Device as CudaDevice
 
@@ -890,8 +899,16 @@ cdef class Device:
     def pci_info(self) -> PciInfo:
         """
         :obj:`~_device.PciInfo` object with the PCI attributes of this device.
+
+        Non-physical devices, such as MIG devices, may not have PCI attributes.
+        In that case, this property will raise a `RuntimeError`.
         """
-        return PciInfo(nvml.device_get_pci_info_ext(self._handle), self._handle)
+        try:
+            pci_info = nvml.device_get_pci_info_ext(self._handle)
+        except nvml.InvalidArgumentError:
+            raise RuntimeError("This device does not have PCI attributes") from None
+        else:
+            return PciInfo(pci_info, self._handle)
 
     ##########################################################################
     # PERFORMANCE

cuda_core/cuda/core/system/_mig.pxi

@@ -163,4 +163,8 @@ cdef class MigInfo:
             A list of all MIG devices corresponding to this GPU.
         """
         for i in range(self.device_count):
-            yield self.get_device_by_index(i)
+            try:
+                yield self.get_device_by_index(i)
+            except nvml.NotFoundError:
+                # Not all MIG devices may be available
+                continue

cuda_core/docs/source/release/1.0.1-notes.rst

@@ -0,0 +1,21 @@
+.. SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+.. SPDX-License-Identifier: Apache-2.0
+
+.. currentmodule:: cuda.core
+
+``cuda.core`` 1.0.1 Release Notes
+=================================
+
+
+Fixes and enhancements
+----------------------
+
+- When iterating over MIG devices with
+  ``cuda.core.system.Device.mig.get_all_devices``, only available MIG devices will
+  be returned. Previously, if any MIG device was unavailable, an exception would
+  be raised. (`#2065 <https://github.com/NVIDIA/cuda-python/issues/2065>`__)
+- When converting an NVML device (``cuda.core.system.Device``) to a CUDA device
+  (``cuda.core.Device``), using ``cuda.core.system.Device.to_cuda_device``, if the
+  device does not have a matching CUDA device, a ``RuntimeError`` will be raised.
+  Previously, a ``cuda.core.system.InvalidArgumentError`` would be raised.  For
+  example, this may happen for physical devices on a MIG system.

cuda_core/tests/system/test_system_device.py

@@ -56,7 +56,12 @@ def test_to_cuda_device():
     from cuda.core import Device as CudaDevice
 
     for device in system.Device.get_all_devices():
-        cuda_device = device.to_cuda_device()
+        try:
+            cuda_device = device.to_cuda_device()
+        except RuntimeError:
+            # Not all physical NVML devices may have a matching CUDA device
+            # when MIG is involved.
+            continue
 
         assert isinstance(cuda_device, CudaDevice)
         assert cuda_device.uuid == device.uuid_without_prefix

cuda_core/tests/system/test_system_system.py

@@ -40,12 +40,6 @@ def test_kernel_mode_driver_version():
         assert 0 <= ver_patch[0] <= 99
 
 
-def test_num_devices():
-    num_devices = system.get_num_devices()
-    expected_num_devices = handle_return(runtime.cudaGetDeviceCount())
-    assert num_devices == expected_num_devices, "Number of devices does not match expected value"
-
-
 def test_devices():
     devices = Device.get_all_devices()
     expected_num_devices = handle_return(runtime.cudaGetDeviceCount())

cuda_core/tests/test_device.py

@@ -1,6 +1,8 @@
 # SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
+import contextlib
+
 try:
     from cuda.bindings import driver, runtime
 except ImportError:
@@ -45,7 +47,9 @@ def test_to_system_device(deinit_cuda):
 
     # CUDA only returns a 2-byte PCI bus ID domain, whereas NVML returns a
     # 4-byte domain
-    assert device.pci_bus_id == system_device.pci_info.bus_id[4:]
+    # MIG devices don't have pci_info, so skip the bus ID check if it's missing
+    with contextlib.suppress(RuntimeError):
+        assert device.pci_bus_id == system_device.pci_info.bus_id[4:]
 
 
 def test_device_set_current(deinit_cuda):