Add PortConfigLoader for on-demand GPU tracing via TCP#1280
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sanrise wants to merge 1 commit intopytorch:mainfrom
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Add PortConfigLoader for on-demand GPU tracing via TCP#1280sanrise wants to merge 1 commit intopytorch:mainfrom
sanrise wants to merge 1 commit intopytorch:mainfrom
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Summary: This implements Phase 1.1 of the lightweight on-demand GPU tracing system for Kubernetes environments. It provides an alternative to DaemonConfigLoader that receives trace configs via a TCP port instead of IPC Fabric, enabling GPU tracing in K8s pods without requiring a full Dynolog daemon. The PortConfigLoader implements the IDaemonConfigLoader interface with a simple JSON protocol (PING/TRACE commands) and includes a socket abstraction layer (ISocket) for testability. Unit tests use MockSocket to enable deterministic testing without binding to real ports. Differential Revision: D91278956
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Summary:
This implements Phase 1.1 of the lightweight on-demand GPU tracing system for Kubernetes environments. It provides an alternative to DaemonConfigLoader that receives trace configs via a TCP port instead of IPC Fabric, enabling GPU tracing in K8s pods without requiring a full Dynolog daemon.
The PortConfigLoader implements the IDaemonConfigLoader interface with a simple JSON protocol (PING/TRACE commands) and includes a socket abstraction layer (ISocket) for testability. Unit tests use MockSocket to enable deterministic testing without binding to real ports.
Differential Revision: D91278956