[martindurant]

Description

closes #2360

Added read-only graph/node IDs and a kernel device-update capability flag, with CUDA version guards. The IDs become python ints.

Checklist

• I have read the Contributing Guidelines.
• New or existing tests cover these changes.
• The documentation is up to date with these changes.

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[coderabbitai]

Findings

suggestion: State the CUDA 13 build requirement for these properties. On a CUDA 12 build, the ID pr…

Prompt for AI Agents

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Inline comments:
Review comments at @cuda_core/docs/source/api.rst:
- Line 157: suggestion: **State the CUDA 13 build requirement for these
properties.** On a CUDA 12 build, the ID properties raise `NotImplementedError`
even with a 13.1-or-newer driver. `device_node_update_supported` also raises on
that build even with a 13.3-or-newer driver. State the build requirement in both
paragraphs and in the `Graph.id` declaration.

As per coding guidelines, “Keep user-facing behaviors coherent with docs and
samples.” As per path instructions, “Check that public behavior changes have
corresponding tests, documentation and release notes.”

Summary

Summary by CodeRabbit

• New Features
  • Added read-only IDs for graph definitions and executable graphs, plus graph-local and tooling IDs for graph nodes. These IDs require a CUDA 13 build and a CUDA 13.1 or newer driver.
  • Added a kernel attribute indicating whether device-node updates are supported. It requires a CUDA 13 build and a CUDA 13.3 or newer driver.
• Documentation
  • Updated the API reference and release notes with the new properties, version requirements, and graph-node navigation details.

The change adds graph and node identity properties, plus a kernel attribute that reports device-node-update support. Graph and node identity properties require CUDA 13.1 or newer. The kernel attribute requires CUDA 13.3 or newer. Tests and documentation cover these APIs.

Changes: Graph identity and kernel capability APIs

Layer / File(s)	Summary
Expose graph and node identifiers cuda_core/cuda/core/graph/_graph_definition.pyi, cuda_core/cuda/core/graph/_graph_definition.pyx, cuda_core/cuda/core/graph/_graph_builder.pyi, cuda_core/cuda/core/graph/_graph_builder.pyx, cuda_core/cuda/core/graph/_graph_node.pyi, cuda_core/cuda/core/graph/_graph_node.pyx, cuda_core/tests/graph/test_graph_definition.py, cuda_core/docs/source/api.rst, cuda_core/docs/source/release/1.3.0-notes.rst	Graph wrappers add id; graph nodes add local_id and tools_id. Access checks include build, driver-version, and object-validity checks. A test covers graph and node identity properties. The API reference and release notes document the properties.
Expose kernel update capability cuda_core/cuda/core/_module.pyi, cuda_core/cuda/core/_module.pyx, cuda_core/docs/source/api.rst, cuda_core/docs/source/release/1.3.0-notes.rst	KernelAttributes adds device_node_update_supported, which raises NotImplementedError when the driver is older than 13.3 or the build predates CUDA 13. The API reference and release notes document the property and version requirement.

Assessment against linked issues

Objective	Addressed	Explanation
[#2360] Expose graph and executable graph IDs, node local and tooling IDs, and node-to-graph navigation	❓	The graph and node ID properties are implemented. The summaries mention node.graph only in documentation; they do not show an implementation change for node-to-graph navigation.
[#2360] Expose the device-node-update kernel attribute	✅

Possibly related issues

• [FEA]: Support CU_LAUNCH_ATTRIBUTE_DEVICE_UPDATABLE_KERNEL_NODE in LaunchConfig #2663 — The kernel capability property supports capability checks, but this change does not add the requested LaunchConfig setter.

Suggested reviewers: mdboom

Change: Feature

Merge Risk: Moderate · up to 2439f

CUDA 12 users with newer drivers can encounter unavailable properties and a failing identity test. The kernel capability query also needs verification before merge.

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Recent review info

Run configuration

• Source mode: Auto
• Repository: NVIDIA/cuda-python
• Branch: main
• File: .coderabbit.yaml
• Commit: 9b07a93
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• Run ID: 12d06b32-cfbd-47ee-a6a7-34a0946397cd

Commits

Reviewing files that changed from the base of the PR and between d17f369 and 2439fd9.

Files selected for processing: 8

• cuda_core/cuda/core/_module.pyx
• cuda_core/cuda/core/graph/_graph_builder.pyi
• cuda_core/cuda/core/graph/_graph_builder.pyx
• cuda_core/cuda/core/graph/_graph_definition.pyi
• cuda_core/cuda/core/graph/_graph_definition.pyx
• cuda_core/cuda/core/graph/_graph_node.pyi
• cuda_core/cuda/core/graph/_graph_node.pyx
• cuda_core/docs/source/api.rst

Included review availability: This review used your included allowance. Your plan provides up to 12 included reviews per hour; 11 remain after this review.

[coderabbitai]

Follow-up Comments

important: Assert unsupported node IDs on older drivers.

823-823: 🎯 Functional Correctness | 🔵 Trivial | ⚡ Quick win

important: Assert unsupported node IDs on older drivers.

For a CUDA 13 build with a driver below 13.1, node.local_id and node.tools_id raise NotImplementedError, but this branch checks only definition.id and graph.id.

Suggested test fix

         if driver_version() < (13, 1, 0):
             with pytest.raises(NotImplementedError):
                 _ = definition.id
             with pytest.raises(NotImplementedError):
                 _ = graph.id
+            with pytest.raises(NotImplementedError):
+                _ = node.local_id
+            with pytest.raises(NotImplementedError):
+                _ = node.tools_id
             return

Add _BINDINGS_MAJOR < 13 to this condition after the ID properties receive a CUDA 12 build guard. At the current head, the CUDA 12 build cannot compile the direct ID API references.

Open the source location

[coderabbitai]

Minor · Functional Correctness · Quick win

important: Clarify which kernel the capability describes.

The driver attribute reports whether this kernel can be the target of a device-side update. The current wording can also mean that this kernel can issue updates to other nodes. Clarify the target meaning here and in the API documentation. (docs.nvidia.com)

[Andy-Jost]

The implementation looks good to me after the coderabbit issues are fixed. I'll approve it once the CUDA 12 fencing is in place.

[coderabbitai]

Follow-up Comments

suggestion: State the CUDA 13 build requirement.

48-50: 🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win

suggestion: State the CUDA 13 build requirement.

On a CUDA 12 build, the graph identity properties raise NotImplementedError even with a 13.1+ driver. Replace “CUDA 13.1+” with “CUDA 13 build and driver 13.1+” so the release note describes the available configuration. As per coding guidelines, “Keep user-facing behaviors coherent with docs and samples.” (raw.githubusercontent.com)

Source: Coding guidelines

Open the source location

[coderabbitai]

Major · Functional Correctness · Quick win

important: Include the build major in the graph identity test gate.

On a CUDA 12 build with a 13.1+ driver, GraphDefinition.id raises NotImplementedError. test_graph_identity_attributes checks only driver_version() and instead asserts that the property returns an int. That supported test run fails. Update the test to check BUILD_CUDA_MAJOR as well. (raw.githubusercontent.com)

[Andy-Jost]

nit: it would be better IMO to use the same message in either case when the feature is unavailable (5 instances)

IF CUDA_CORE_BUILD_MAJOR >= 13:
    cdef unsigned int graph_id
    if cy_driver_version() >= (13, 1, 0):
        with nogil:
            HANDLE_RETURN(cydriver.cuGraphExecGetId(as_cu(self._h_graph_exec), &graph_id))
        return graph_id
raise NotImplementedError("Graph IDs require CUDA driver 13.1 or newer")

[martindurant]

Reading through the bot messages above, it seems that there is a difference here between the SDK and driver version: cuda12 builds can still get the values if the driver is new enough. If we trust the bot... I am happy to keep the blanket guards as they are (with the language fix you suggest), but thought you might want to consider this.

[Andy-Jost]

Are the driver functions defined in CUDA 12? I don't see them listed in the CUDA 12.9 Documentation or cuda-bindings. Without the entry point, a newer driver won't help.

[martindurant]

I don't know :|
I was trying to decode what the auto-review said

[Andy-Jost]

coderabbit was out to lunch. I posted messages declining its recommendations.

[coderabbitai]

Minor · Functional Correctness · Quick win

suggestion: State the CUDA 13 build requirement for these properties. On a CUDA 12 build, the ID properties raise NotImplementedError even with a 13.1-or-newer driver. device_node_update_supported also raises on that build even with a 13.3-or-newer driver. State the build requirement in both paragraphs and in the Graph.id declaration.

As per coding guidelines, “Keep user-facing behaviors coherent with docs and samples.” As per path instructions, “Check that public behavior changes have corresponding tests, documentation and release notes.”

Sources: Coding guidelines, Path instructions

[Andy-Jost]

Thanks @martindurant. I declined two of CodeRabbit's threads (the cuFuncGetAttribute detour and the CUDA 12 compatibility enum). These items remain:

1. Test gate. On a CUDA 12 build with a 13.1+ driver, every ID property raises NotImplementedError, so test_graph_identity_attributes fails. Gate on the build major as well, as test_green_context.py does:

   from cuda.core._utils.version import BUILD_CUDA_MAJOR, driver_version
   
   if BUILD_CUDA_MAJOR < 13 or driver_version() < (13, 1, 0):

2. Unsupported-path coverage. In that branch, also assert that node.local_id and node.tools_id raise NotImplementedError.
3. device_node_update_supported has no test. Add one that checks for a bool on a CUDA 13 build with a 13.3+ driver, and checks for NotImplementedError otherwise.
4. One error message. As in my earlier nit, use a single fall-through raise in each of the five properties. Word the message so it holds for both cases, for example "Graph IDs require a CUDA 13 build of cuda.core and CUDA driver 13.1 or newer". The current text is wrong on a CUDA 12 build with a new driver.
5. Docs. State "CUDA 13 build and driver 13.1+" (13.3+ for device_node_update_supported) in api.rst, the 1.3.0 release note, and the Graph.id docstring in both .pyx and .pyi. GraphNode.local_id and GraphNode.tools_id state no requirement at all.
6. Wording. In the device_node_update_supported docstring, say that the kernel can be the target of a device-side node update. The current text also reads as if the kernel issues updates to other nodes.