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# Copyright (c) 2021 The Regents of the University of California
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from typing import Generator, Optional
import m5.stats
from ..components.processors.abstract_processor import AbstractProcessor
from ..components.processors.switchable_processor import SwitchableProcessor
from m5.util import warn
from pathlib import Path
"""
In this package we store generators for simulation exit events.
"""
def warn_default_decorator(gen: Generator, type: str, effect: str):
"""A decortator for generators which will print a warning that it is a
default generator.
"""
def wrapped_generator(*args, **kw_args):
warn(
f"No behavior was set by the user for {type}."
f" Default behavior is {effect}."
)
for value in gen(*args, **kw_args):
yield value
return wrapped_generator
def exit_generator():
"""
A default generator for an exit event. It will return True, indicating that
the Simulator run loop should exit.
"""
while True:
yield True
def switch_generator(processor: AbstractProcessor):
"""
A default generator for a switch exit event. If the processor is a
SwitchableProcessor, this generator will switch it. Otherwise nothing will
happen.
"""
is_switchable = isinstance(processor, SwitchableProcessor)
while True:
if is_switchable:
yield processor.switch()
else:
yield False
def dump_reset_generator():
"""
A generator for doing statstic dump and reset. It will reset the simulation
statistics and then dump simulation statistics.
The Simulation run loop will continue after executing the behavior of the
generator.
"""
while True:
m5.stats.dump()
m5.stats.reset()
yield False
def save_checkpoint_generator(checkpoint_dir: Optional[Path] = None):
"""
A generator for taking a checkpoint. It will take a checkpoint with the
input path and the current simulation Ticks.
The Simulation run loop will continue after executing the behavior of the
generator.
"""
if not checkpoint_dir:
from m5 import options
checkpoint_dir = Path(options.outdir)
while True:
m5.checkpoint((checkpoint_dir / f"cpt.{str(m5.curTick())}").as_posix())
yield False
def reset_stats_generator():
"""
This generator resets the stats every time it is called. It does not dump
the stats before resetting them.
"""
while True:
m5.stats.reset()
yield False
def dump_stats_generator():
"""
This generator dumps the stats every time it is called.
"""
while True:
m5.stats.dump()
yield False
def skip_generator():
"""
This generator does nothing when on the exit event.
The simulation will continue after this generator.
"""
while True:
yield False