[pull] main from inclusionAI:main#35
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pull[bot] merged 2 commits intoaxistore80-coder:mainfrom Apr 14, 2026
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* chore: add project governance for PyTorch ecosystem Add governance documentation required for PyTorch Ecosystem application per LF Minimum Viable Governance framework. Key changes: - Add GOVERNANCE.md with BDFL model, maintainer table, and decision-making process - Add CODE_OF_CONDUCT.md (Contributor Covenant v3.0) - Add .github/CODEOWNERS for automated PR review assignment - Update CONTRIBUTING.md with cross-links to governance docs * chore: explain community moderatorst and improve decision making process * chore: improve clarity
…1169) * feat(infra): add microservice-based training service (controller v2) Add GatewayTrainController that decomposes training into five HTTP microservices: guard (process manager), worker (engine container), data proxy (batch dispatcher), router (service registry), and gateway (API ingress). This enables training orchestration without requiring the scheduler's RPC infrastructure. Key changes: - Add GatewayTrainController with 7-step async initialization - Add guard /set_env endpoint for NCCL env propagation - Add worker, router, gateway, data proxy FastAPI/Flask services - Wire TrainEngineConfig.log_level to suppress HTTP access logs - Add create_process_group stubs to existing engines - Add comprehensive unit and integration tests * fix(infra): stabilize controller v2 training service Consolidate the controller v2 training-service follow-up work into one atomic infra commit. This keeps startup, routing, dispatch, recovery, and health-handling changes together as the post-9c70 stabilization series while restoring a clean branch history. * feat(infra): add microservice-based training service (controller v2) Add GatewayTrainController that decomposes training into five HTTP microservices: guard (process manager), worker (engine container), data proxy (batch dispatcher), router (service registry), and gateway (API ingress). This enables training orchestration without requiring the scheduler's RPC infrastructure. Key changes: - Add GatewayTrainController with 7-step async initialization - Add guard /set_env endpoint for NCCL env propagation - Add worker, router, gateway, data proxy FastAPI/Flask services - Wire TrainEngineConfig.log_level to suppress HTTP access logs - Add create_process_group stubs to existing engines - Add comprehensive unit and integration tests * fix(infra): stabilize controller v2 training service Consolidate the controller v2 training-service follow-up work into one atomic infra commit. This keeps startup, routing, dispatch, recovery, and health-handling changes together as the post-9c70 stabilization series while restoring a clean branch history. * chore: add SPDX headers to training service modules --------- Co-authored-by: Wentai Zhang <zhangwentai.zwt@antgroup.com>
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