Emily Boudreaux
8cfa067ad0
More preformance improvmnets 1. Switch to mimalloc which gave a roughly 10% improvment accross the board 2. Use much faster compososition caching 3. Reusing work vector
120 lines
5.7 KiB
Python
120 lines
5.7 KiB
Python
from gridfire.policy import MainSequencePolicy, NetworkPolicy
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from gridfire.engine import DynamicEngine, GraphEngine, EngineTypes
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from gridfire.type import NetIn
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from typing import Dict
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from fourdst.composition import Composition
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from testsuite import TestSuite
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from utils import init_netIn, init_composition, years_to_seconds
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from enum import Enum
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EngineNameToType: Dict[str, EngineTypes] = {
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"graphengine": EngineTypes.GRAPH_ENGINE,
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"multiscalepartitioningengineview": EngineTypes.MULTISCALE_PARTITIONING_ENGINE_VIEW,
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"adaptiveengineview": EngineTypes.ADAPTIVE_ENGINE_VIEW
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}
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class SolarLikeStar_QSE_Suite(TestSuite):
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def __init__(self):
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initialComposition : Composition = init_composition()
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super().__init__(
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name="SolarLikeStar_QSE",
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description="GridFire simulation of a roughly solar like star over 10Gyr with QSE enabled.",
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temp=1.5e7,
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density=1.5e2,
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tMax=years_to_seconds(1e10),
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composition=initialComposition,
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notes="Thermodynamically Static, MultiscalePartitioning Engine View"
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)
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def __call__(self, pynucastro_compare: bool = False, pync_engine: str = "AdaptiveEngineView"):
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policy : MainSequencePolicy = MainSequencePolicy(self.composition)
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engine : DynamicEngine = policy.construct()
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netIn : NetIn = init_netIn(self.temperature, self.density, self.tMax, self.composition)
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self.evolve(engine, netIn, pynucastro_compare = pynucastro_compare, engine_type=EngineNameToType[pync_engine.lower()])
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class MetalEnhancedSolarLikeStar_QSE_Suite(TestSuite):
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def __init__(self):
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initialComposition : Composition = init_composition(ZZs=1)
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super().__init__(
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name="MetalEnhancedSolarLikeStar_QSE",
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description="GridFire simulation of a star with solar core temp and density but enhanced by 1 dex in Z.",
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temp=0.8 * 1.5e7,
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density=1.5e2,
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tMax=years_to_seconds(1e10),
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composition=initialComposition,
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notes="Thermodynamically Static, MultiscalePartitioning Engine View, Z enhanced by 1 dex, temperature reduced to 80% of solar core"
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)
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def __call__(self, pynucastro_compare: bool = False, pync_engine: str = "AdaptiveEngineView"):
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policy : MainSequencePolicy = MainSequencePolicy(self.composition)
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engine : GraphEngine = policy.construct()
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netIn : NetIn = init_netIn(self.temperature, self.density, self.tMax, self.composition)
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self.evolve(engine, netIn)
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class MetalDepletedSolarLikeStar_QSE_Suite(TestSuite):
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def __init__(self):
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initialComposition : Composition = init_composition(ZZs=-1)
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super().__init__(
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name="MetalDepletedSolarLikeStar_QSE",
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description="GridFire simulation of a star with solar core temp and density but depleted by 1 dex in Z.",
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temp=1.2 * 1.5e7,
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density=1.5e2,
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tMax=years_to_seconds(1e10),
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composition=initialComposition,
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notes="Thermodynamically Static, MultiscalePartitioning Engine View, Z depleted by 1 dex, temperature increased to 120% of solar core"
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)
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def __call__(self, pynucastro_compare: bool = False, pync_engine: str = "AdaptiveEngineView"):
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policy : MainSequencePolicy = MainSequencePolicy(self.composition)
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engine : GraphEngine = policy.construct()
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netIn : NetIn = init_netIn(self.temperature, self.density, self.tMax, self.composition)
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self.evolve(engine, netIn)
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class SolarLikeStar_No_QSE_Suite(TestSuite):
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def __init__(self):
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initialComposition : Composition = init_composition()
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super().__init__(
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name="SolarLikeStar_No_QSE",
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description="GridFire simulation of a roughly solar like star over 10Gyr with QSE disabled.",
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temp=1.5e7,
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density=1.5e2,
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tMax=years_to_seconds(1e10),
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composition=initialComposition,
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notes="Thermodynamically Static, No MultiscalePartitioning Engine View"
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)
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def __call__(self, pynucastro_compare: bool = False, pync_engine: str = "AdaptiveEngineView"):
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engine : GraphEngine = GraphEngine(self.composition, 3)
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netIn : NetIn = init_netIn(self.temperature, self.density, self.tMax, self.composition)
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self.evolve(engine, netIn)
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class ValidationSuites(Enum):
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SolarLikeStar_QSE = SolarLikeStar_QSE_Suite
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SolarLikeStar_No_QSE = SolarLikeStar_No_QSE_Suite
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MetalDepletedSolarLikeStar_QSE = MetalDepletedSolarLikeStar_QSE_Suite
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MetalEnhancedSolarLikeStar_QSE = MetalEnhancedSolarLikeStar_QSE_Suite
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if __name__ == "__main__":
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import argparse
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parser = argparse.ArgumentParser(description="Run some subset of the GridFire validation suite.")
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parser.add_argument('--suite', type=str, choices=[suite.name for suite in ValidationSuites], nargs="+", help="The validation suite to run.")
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parser.add_argument("--all", action="store_true", help="Run all validation suites.")
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parser.add_argument("--pynucastro-compare", action="store_true", help="Generate pynucastro comparison data.")
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parser.add_argument("--pync-engine", type=str, choices=["GraphEngine", "MultiscalePartitioningEngineView", "AdaptiveEngineView"], default="AdaptiveEngineView", help="The GridFire engine to use to select the reactions for pyuncastro comparison.")
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args = parser.parse_args()
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if args.all:
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for suite in ValidationSuites:
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instance : TestSuite = suite.value()
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instance(args.pynucastro_compare, args.pync_engine)
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else:
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for suite_name in args.suite:
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suite = ValidationSuites[suite_name]
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instance : TestSuite = suite.value()
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instance(args.pynucastro_compare, args.pync_engine)
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