feat(cuda.core): support CU_LAUNCH_ATTRIBUTE_PRIORITY in LaunchConfig

cuda_core/cuda/core/_launch_config.pxd

@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # SPDX-License-Identifier: Apache-2.0
 
@@ -16,6 +16,7 @@ cdef class LaunchConfig:
         public int shmem_size
         public bint is_cooperative
         public bint programmatic_stream_serialization
+        public object priority
 
         vector[cydriver.CUlaunchAttribute] _attrs
         object __weakref__

cuda_core/cuda/core/_launch_config.pyi

@@ -2,7 +2,7 @@
 
 from typing import Any
 
-_LAUNCH_CONFIG_ATTRS = ('grid', 'cluster', 'block', 'shmem_size', 'is_cooperative', 'programmatic_stream_serialization')
+_LAUNCH_CONFIG_ATTRS = ('grid', 'cluster', 'block', 'shmem_size', 'is_cooperative', 'programmatic_stream_serialization', 'priority')
 __all__ = ['LaunchConfig']
 
 class LaunchConfig:
@@ -39,15 +39,19 @@ class LaunchConfig:
         Whether to allow programmatic stream serialization (PDL). When True,
         the kernel may overlap with a previous kernel in the same stream that
         signals completion via programmatic means.
+    priority : int, optional
+        Execution priority of the kernel. Lower numbers represent higher
+        priorities. When omitted, the launch uses the stream's priority.
     """
     grid: tuple[Any, ...]
     cluster: tuple[Any, ...]
     block: tuple[Any, ...]
     shmem_size: int
     is_cooperative: bool
     programmatic_stream_serialization: bool
+    priority: object
 
-    def __init__(self, grid: int | tuple[int, ...] | None=None, cluster: int | tuple[int, ...] | None=None, block: int | tuple[int, ...] | None=None, shmem_size: int | None=None, is_cooperative: bool=False, programmatic_stream_serialization: bool=False) -> None:
+    def __init__(self, grid: int | tuple[int, ...] | None=None, cluster: int | tuple[int, ...] | None=None, block: int | tuple[int, ...] | None=None, shmem_size: int | None=None, is_cooperative: bool=False, programmatic_stream_serialization: bool=False, priority: int | None=None) -> None:
         """Initialize LaunchConfig with validation.
 
         Parameters
@@ -64,6 +68,9 @@ class LaunchConfig:
             Whether to launch as cooperative kernel (default: False)
         programmatic_stream_serialization : bool, optional
             Whether to allow programmatic stream serialization / PDL (default: False)
+        priority : int, optional
+            Execution priority of the kernel. Lower numbers represent higher
+            priorities. When omitted, the launch uses the stream's priority.
         """
     def _identity(self) -> tuple[Any, ...]: ...
     def __repr__(self) -> str:

cuda_core/cuda/core/_launch_config.pyx

@@ -20,6 +20,7 @@ _LAUNCH_CONFIG_ATTRS = (
     'shmem_size',
     'is_cooperative',
     'programmatic_stream_serialization',
+    'priority',
 )
 
 __all__ = ['LaunchConfig']
@@ -59,6 +60,9 @@ cdef class LaunchConfig:
         Whether to allow programmatic stream serialization (PDL). When True,
         the kernel may overlap with a previous kernel in the same stream that
         signals completion via programmatic means.
+    priority : int, optional
+        Execution priority of the kernel. Lower numbers represent higher
+        priorities. When omitted, the launch uses the stream's priority.
     """
 
     # TODO: expand LaunchConfig to include other attributes
@@ -72,6 +76,7 @@ cdef class LaunchConfig:
         shmem_size: int | None = None,
         is_cooperative: bool = False,
         programmatic_stream_serialization: bool = False,
+        priority: int | None = None,
     ) -> None:
         """Initialize LaunchConfig with validation.
 
@@ -89,6 +94,9 @@ cdef class LaunchConfig:
             Whether to launch as cooperative kernel (default: False)
         programmatic_stream_serialization : bool, optional
             Whether to allow programmatic stream serialization / PDL (default: False)
+        priority : int, optional
+            Execution priority of the kernel. Lower numbers represent higher
+            priorities. When omitted, the launch uses the stream's priority.
         """
         # Convert and validate grid and block dimensions
         self.grid = cast_to_3_tuple("LaunchConfig.grid", grid)
@@ -116,6 +124,7 @@ cdef class LaunchConfig:
 
         self.is_cooperative = is_cooperative
         self.programmatic_stream_serialization = programmatic_stream_serialization
+        self.priority = priority
 
         if self.is_cooperative and not Device().properties.cooperative_launch:
             raise CUDAError("cooperative kernels are not supported on this device")
@@ -169,6 +178,11 @@ cdef class LaunchConfig:
             attr.value.programmaticStreamSerializationAllowed = 1
             self._attrs.push_back(attr)
 
+        if self.priority is not None:
+            attr.id = cydriver.CUlaunchAttributeID.CU_LAUNCH_ATTRIBUTE_PRIORITY
+            attr.value.priority = self.priority
+            self._attrs.push_back(attr)
+
         drv_cfg.numAttrs = self._attrs.size()
         drv_cfg.attrs = self._attrs.data()
 
@@ -230,6 +244,12 @@ cpdef object _to_native_launch_config(LaunchConfig config):
         attr.value.programmaticStreamSerializationAllowed = 1
         attrs.append(attr)
 
+    if config.priority is not None:
+        attr = driver.CUlaunchAttribute()
+        attr.id = driver.CUlaunchAttributeID.CU_LAUNCH_ATTRIBUTE_PRIORITY
+        attr.value.priority = config.priority
+        attrs.append(attr)
+
     drv_cfg.numAttrs = len(attrs)
     drv_cfg.attrs = attrs
 

cuda_core/tests/test_launcher.py

@@ -202,6 +202,41 @@ def test_to_native_launch_config_pdl():
     )
 
 
+@pytest.mark.parametrize(
+    ("initial_priority", "updated_priority"),
+    ((-1, 0), (0, 1), (1, -1)),
+)
+def test_launch_config_priority_getter_setter(initial_priority, updated_priority):
+    config = LaunchConfig(grid=1, block=1, priority=initial_priority)
+
+    assert config.priority == initial_priority
+    config.priority = updated_priority
+    assert config.priority == updated_priority
+
+
+@pytest.mark.parametrize(
+    ("priority", "expected_num_attrs"),
+    ((None, 0), (0, 1), (-1, 1), (1, 1)),
+)
+def test_to_native_launch_config_priority(priority, expected_num_attrs):
+    """LaunchConfig priority maps to the native attribute, including zero."""
+    from cuda.bindings import driver
+    from cuda.core._launch_config import _to_native_launch_config
+
+    config = LaunchConfig(grid=2, block=4, priority=priority)
+    native = _to_native_launch_config(config)
+
+    assert config.priority == priority
+    assert native.numAttrs == expected_num_attrs
+    if priority is None:
+        assert list(native.attrs) == []
+        return
+
+    attr = native.attrs[0]
+    assert attr.id == driver.CUlaunchAttributeID.CU_LAUNCH_ATTRIBUTE_PRIORITY
+    assert attr.value.priority == priority
+
+
 @skipif_need_cuda_headers
 def test_pdl_primary_secondary_overlap_same_stream():
     """Primary + secondary PDL launch on one stream can overlap on Hopper+.

cuda_core/tests/test_object_protocols.py

@@ -704,7 +704,7 @@ def sample_object_b(request):
         "sample_launch_config",
         r"LaunchConfig\(grid=\(\d+, \d+, \d+\), cluster=.+, block=\(\d+, \d+, \d+\), "
         r"shmem_size=\d+, is_cooperative=(?:True|False), "
-        r"programmatic_stream_serialization=(?:True|False)\)",
+        r"programmatic_stream_serialization=(?:True|False), priority=(?:None|-?\d+)\)",
     ),
     ("sample_kernel", r"<Kernel handle=0x[0-9a-f]+>"),
     # ObjectCode variations (by code_type)