PerInvocationSerializationScenario
Training scenarios · Implementation: mlsysim/engine/scenario_definitions/training.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
A turns-turn trajectory stored as one example per model call, each turn adding tokens_per_turn.
Notes
Equation: Composition of mlsysim.solvers.PerInvocationSerializationModel.solve.
Assumptions: Inputs are routed to PerInvocationSerializationModel.solve; their documented regimes and units apply to this configuration.
Excludes: Additional mechanisms beyond the linked solver contracts; the scenario does not collect measurements.
References
Derivation: This scenario binds named inputs to PerInvocationSerializationModel. The linked solver contracts own equations, sources, and result-unit definitions.
Examples
Evaluate the named configuration and display a modeled result.
>>> from mlsysim import Scenarios
>>> case = Scenarios.RepairTrajectoryPerCallExamples
>>> value = case.result.expansion
>>> print(f"{value:.3g}")
15.5Attributes
| Name | Description |
|---|---|
| result | Evaluate the stated per invocation serialization case through PerInvocationSerializationModel.solve; returns its typed result and quantity units. |
| tokens_per_turn | |
| turns |
turns
Type: int.
Declared default: required.
tokens_per_turn
Type: int.
Declared default: required.
result
engine.scenario_types.PerInvocationSerializationScenario.result
Evaluate the stated per invocation serialization case through PerInvocationSerializationModel.solve; returns its typed result and quantity units.
Calculation: mlsysim.solvers.PerInvocationSerializationModel.solve.