release

Releases neural network resources and performs cleanup operations.

This method handles graceful shutdown of the learning engine, ensuring proper resource cleanup and state finalization before engine disposal.

Cleanup Operations:

• Memory deallocation for weight matrices and training history

• Coroutine scope cleanup and job cancellation

• File handle closure for state persistence

• Logging of resource release for monitoring

Current Implementation:

• Simplified version with basic logging

• Production implementation would include comprehensive cleanup

• Memory management handled by Kotlin garbage collector

Future Enhancements:

• Explicit memory deallocation for large models

• Background training job cancellation

• Temporary file cleanup

• Resource usage reporting

Thread Safety: Safe to call concurrently with other operations Idempotency: Multiple calls have no adverse effects

See also