InputDemandScenario
Data scenarios · Implementation: mlsysim/engine/scenario_definitions/data.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
consumers each read samples_per_step samples per step_time of compute.
Notes
Equation: Compose mlsysim.solvers.InputDemandModel.
Assumptions: The stated fields are inputs to mlsysim.solvers.InputDemandModel; its documented validity regime, units, and modeling choices apply unchanged.
Excludes: This scenario adds no measurement, empirical calibration, or mechanisms beyond mlsysim.solvers.InputDemandModel.
References
Derivation: this scenario binds its input fields to the referenced implementation contracts: mlsysim.solvers.InputDemandModel. The methods below identify any additional arithmetic.
Examples
>>> from mlsysim import Scenarios
>>> case = Scenarios.TextInputDemand2K
>>> type(case.result).__name__
'InputDemandResult'Attributes
| Name | Description |
|---|---|
| busy_fraction | |
| bytes_per_sample | |
| consumers | |
| result | Evaluate this scenario through mlsysim.solvers.InputDemandModel.solve. Equation: |
| samples_per_step | |
| step_time |
consumers
Type: int.
Declared default: required.
samples_per_step
Type: int.
Declared default: required.
bytes_per_sample
Type: Quantity.
Declared default: required.
step_time
Type: Quantity.
Declared default: required.
busy_fraction
Type: float.
Declared default: 1.0.
result
engine.scenario_types.InputDemandScenario.result
Evaluate this scenario through mlsysim.solvers.InputDemandModel.solve. Equation: pass the stated fields to that implementation; its contract defines the calculation and feasibility tests. Units: each returned field follows the referenced result schema; no independent equation is evaluated by this wrapper.