Fix distributed (multi-GPU) PDLP dispatch for the gRPC server - #1962
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The gRPC worker built its GPU problem directly and called the base solve_lp overload, which has no distributed dispatch at all (unlike the C API path). Route through the mps_data_model_t based overload when distributed PDLP is requested, matching the C API fix. Adds use_distributed_pdlp/distributed_pdlp_partitioner to the gRPC field registry (proto message, converters, MCP schema all regenerated) and extends the settings round-trip test. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Understand this PR’s impact Explore downstream dependencies and potential security impact with Blast Radius. 📝 WalkthroughWalkthroughChangesThe PR adds distributed PDLP settings and partitioner values. Eligible solves use the distributed Distributed PDLP support
Priority: ⬇️ Low Estimated code review effort: 3 (Moderate) | ~20 minutes Change: Bug fix Suggested reviewers: Merge Risk: 🟡 Moderate · up to The routing fix appears consistent with solver semantics, but its multi-GPU gRPC behavior lacks the required regression coverage and should be tested before merging. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 33.33% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 3 functions across 2 files. (1 skipped: 1 unsupported.)
✨ Finishing Touches 💡 1🛠️ Fix failing CI checks 💡
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In `@cpp/tests/linear_programming/grpc/grpc_client_test.cpp`:
- Around line 2280-2281: Add a server-dispatch regression test near the existing
mapper test that configures method_t::PDLP, enables use_distributed_pdlp, and
supplies an eligible GPU count, then invokes the RPC or worker dispatch path and
asserts the distributed solve succeeds. Keep the existing protobuf-mapping
coverage unchanged, and ensure the test exercises run_lp_solve through the
method-based dispatch rather than only the problem-based overload.
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⛔ Files ignored due to path filters (5)
cpp/src/grpc/codegen/generated/cuopt_mcp_schema.jsonis excluded by!**/generated/**cpp/src/grpc/codegen/generated/cuopt_remote_data.protois excluded by!**/generated/**cpp/src/grpc/codegen/generated/generated_enum_converters_settings.incis excluded by!**/generated/**cpp/src/grpc/codegen/generated/generated_pdlp_settings_to_proto.incis excluded by!**/generated/**cpp/src/grpc/codegen/generated/generated_proto_to_pdlp_settings.incis excluded by!**/generated/**
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cpp/src/grpc/codegen/field_registry.yamlcpp/src/grpc/server/grpc_worker.cppcpp/tests/linear_programming/grpc/grpc_client_test.cpp
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Every solve_lp entry point (MPS-based, and now the gRPC worker) reimplemented the same use_distributed_pdlp / method / num_gpus condition inline, risking drift between call sites. Extract it once, export it, and add a regression test exercising the decision itself (not just protobuf field mapping), so a caller that stops consulting it is caught without needing multi-GPU hardware. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
The gRPC worker built its GPU problem directly and called the base
solve_lpoverload, which has no distributed dispatch at all (unlike the C API path fixed in #1958). This routesrun_lp_solvethrough themps_data_model_tbased overload when distributed PDLP is requested, and addsuse_distributed_pdlp/distributed_pdlp_partitionerto the gRPC field registry so they can be set over the wire (proto message, converters, and MCP schema regenerated;num_gpuswas already present).Verified:
GRPC_CLIENT_TESTmapper round-trip tests pass locally, including the extendedPDLPSettingsAllFieldscase.Related to #1931, and complements #1957/#1961/#1958.
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