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api/python: minimal Core transfer provider — review MVP - #3
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samnordmann wants to merge 2 commits into
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samnordmann wants to merge 2 commits into
samnordmann wants to merge 2 commits into
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Snapshot of the current endpoint-transfer prototype for review in the author's fork. Native GPU performance parity and full end-to-end framework validation remain open; this is not an upstream-ready change. Assisted-by: OpenAI Codex Signed-off-by: Samuel Nordmann <snordmann@nvidia.com>
This was referenced Sep 17, 2026
Use the existing NIXL API with a small provider and shared framework migration shim. Restore native C++ and UCX sources to the review base. No active cancellation or native parity claim. Assisted-by: OpenAI Codex Signed-off-by: Samuel Nordmann <snordmann@nvidia.com>
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What / why
Minimal provider for PyTorch's Core transfer MVP, plus one shared migration shim for existing frameworks. Fork-only technical review; native NIXL APIs and C++/UCX code are unchanged.
How
Wrap the existing native agent, reuse prepared descriptor lists and index arrays, and preserve backend settings, metadata, wire descriptors and notification bytes. The optional module is installed through the existing Python packaging paths (including the required mirror).
Validation / limits
pytest -q test/python/test_torch_transfer.py: 4 passed, with the prototype Core module and mocked native calls. Native/GPU validation and performance parity are pending. Success-path prototype only: release requires DONE; active cancellation/error recovery is deferred.Consumers: vLLM, SGLang, verl. AI-assisted; human review required before upstream submission.