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…e types Move _create_dist_sampler() and _prepare_degree_tensors() from dist_sampling_producer.py into a new gigl/distributed/utils/dist_sampler.py module as public functions, along with SamplerInput and SamplerRuntime type aliases. Update dist_sampling_producer.py to import from the new module. Add InitSamplingBackendRequest and RegisterBackendRequest frozen dataclasses to messages.py for the upcoming shared sampling backend. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Introduce SharedDistSamplingBackend, a shared sampling backend that multiplexes multiple compute-rank channels over a single pool of sampling workers using fair-queued round-robin scheduling. This replaces the per-producer model with a per-channel model for graph-store mode. Includes unit tests for helper functions (batch computation, epoch indices, worker seed ranges) and basic lifecycle (init, epoch start, describe). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Scope of work done
Where is the documentation for this feature?: N/A
Did you add automated tests or write a test plan?
Updated Changelog.md? NO
Ready for code review?: NO