EXPERIMENTAL ONLY Clone of PR #2034#2075
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Generated from cudla.h using cybind. Files added: - cycudla.pxd/pyx: Cython layer exposing C header types and functions - cudla.pxd/pyx: lowpp Python layer with POD classes, enums, and wrappers - _internal/cudla.pxd, cudla_linux.pyx, cudla_windows.pyx: dynamic library loading - docs/source/module/cudla.rst: API documentation - tests/cudla/: pytest unit tests for enums, POD types, error handling, API surface, and hardware-gated function tests (verified on L4T/Orin) Build/CI updates: - pyproject.toml: added cudla to cuda-toolkit optional dependencies - .github/actions/fetch_ctk/action.yml: added libcudla to CTK components - docs/source/api.rst: added cudla to toctree
Capture the documented API, standalone mode, and event-wrapper semantics we expect so CI can surface the current cuDLA binding gaps on hardware-backed runs.
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/ok to test |
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@rwgk, there was an error processing your request: See the following link for more information: https://docs.gha-runners.nvidia.com/cpr/e/1/ |
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/ok to test dbecd15 |
CI currently requests components like libcudla on lanes where NVIDIA does not publish them, so fetch_ctk fails before the build or tests start. Move the redistrib resolution into ci/tools, prune each lane to the components and relative paths that actually exist for its host platform and CUDA version, and validate that remote metadata is fetched only over HTTPS.
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/ok to test 87d76a6 |
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The Linux local test lanes resolve the repo through the runtime workspace mount rather than the host-side checkout path, so the helper script must be launched from GITHUB_WORKSPACE. This lets those lanes reach the intended cuDLA regression failures instead of aborting in mini-CTK setup.
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/ok to test 647ff82 |
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Clone of PR #2034
NOT FOR MERGING
EXPERIMENTAL ONLY