python: Apply Black formatter to Python files
The command executed was `black src configs tests util`. Change-Id: I8dfaa6ab04658fea37618127d6ac19270028d771 Reviewed-on: https://gem5-review.googlesource.com/c/public/gem5/+/47024 Maintainer: Bobby Bruce <bbruce@ucdavis.edu> Reviewed-by: Jason Lowe-Power <power.jg@gmail.com> Reviewed-by: Giacomo Travaglini <giacomo.travaglini@arm.com> Tested-by: kokoro <noreply+kokoro@google.com>
This commit is contained in:
committed by
Giacomo Travaglini
parent
1cfaa8da83
commit
787204c92d
@@ -53,7 +53,7 @@ from m5.objects import Root
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from gem5.utils.requires import requires
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from gem5.components.boards.x86_board import X86Board
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from gem5.components.memory import DualChannelDDR4_2400
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from gem5.components.processors.simple_switchable_processor import(
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from gem5.components.processors.simple_switchable_processor import (
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SimpleSwitchableProcessor,
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)
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from gem5.components.processors.cpu_types import CPUTypes
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@@ -66,20 +66,32 @@ from m5.stats.gem5stats import get_simstat
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# We check for the required gem5 build.
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requires(
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isa_required = ISA.X86,
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isa_required=ISA.X86,
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coherence_protocol_required=CoherenceProtocol.MESI_TWO_LEVEL,
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kvm_required=True,
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)
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# Following are the list of benchmark programs for parsec.
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benchmark_choices = ["blackscholes", "bodytrack", "canneal", "dedup",
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"facesim", "ferret", "fluidanimate", "freqmine",
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"raytrace", "streamcluster", "swaptions", "vips", "x264"]
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benchmark_choices = [
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"blackscholes",
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"bodytrack",
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"canneal",
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"dedup",
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"facesim",
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"ferret",
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"fluidanimate",
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"freqmine",
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"raytrace",
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"streamcluster",
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"swaptions",
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"vips",
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"x264",
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]
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# Following are the input size.
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size_choices=["simsmall", "simmedium", "simlarge"]
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size_choices = ["simsmall", "simmedium", "simlarge"]
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parser = argparse.ArgumentParser(
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description="An example configuration script to run the npb benchmarks."
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@@ -89,32 +101,31 @@ parser = argparse.ArgumentParser(
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parser.add_argument(
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"--benchmark",
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type = str,
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type=str,
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required=True,
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help = "Input the benchmark program to execute.",
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choices = benchmark_choices,
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help="Input the benchmark program to execute.",
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choices=benchmark_choices,
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)
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parser.add_argument(
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"--size",
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type = str,
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type=str,
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required=True,
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help = "Simulation size the benchmark program.",
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choices = size_choices,
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help="Simulation size the benchmark program.",
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choices=size_choices,
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)
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args = parser.parse_args()
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# Setting up all the fixed system parameters here
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# Caches: MESI Two Level Cache Hierarchy
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from gem5.components.cachehierarchies.ruby.\
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mesi_two_level_cache_hierarchy import(
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from gem5.components.cachehierarchies.ruby.mesi_two_level_cache_hierarchy import (
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MESITwoLevelCacheHierarchy,
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)
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cache_hierarchy = MESITwoLevelCacheHierarchy(
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l1d_size = "32kB",
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l1d_assoc = 8,
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l1d_size="32kB",
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l1d_assoc=8,
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l1i_size="32kB",
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l1i_assoc=8,
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l2_size="256kB",
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@@ -125,7 +136,7 @@ cache_hierarchy = MESITwoLevelCacheHierarchy(
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# Memory: Dual Channel DDR4 2400 DRAM device.
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# The X86 board only supports 3 GB of main memory.
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memory = DualChannelDDR4_2400(size = "3GB")
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memory = DualChannelDDR4_2400(size="3GB")
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# Here we setup the processor. This is a special switchable processor in which
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# a starting core type and a switch core type must be specified. Once a
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@@ -163,32 +174,31 @@ board = X86Board(
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# properly.
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command = "cd /home/gem5/parsec-benchmark;".format(args.benchmark) \
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+ "source env.sh;" \
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command = (
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"cd /home/gem5/parsec-benchmark;".format(args.benchmark)
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+ "source env.sh;"
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+ "parsecmgmt -a run -p {} -c gcc-hooks -i {} \
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-n {};".format(args.benchmark, args.size, "2") \
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+ "sleep 5;" \
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+ "m5 exit;" \
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-n {};".format(
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args.benchmark, args.size, "2"
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)
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+ "sleep 5;"
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+ "m5 exit;"
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)
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board.set_kernel_disk_workload(
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# The x86 linux kernel will be automatically downloaded to the
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# `~/.cache/gem5` directory if not already present.
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# PARSEC benchamarks were tested with kernel version 4.19.83
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kernel=Resource(
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"x86-linux-kernel-4.19.83",
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),
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kernel=Resource("x86-linux-kernel-4.19.83"),
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# The x86-parsec image will be automatically downloaded to the
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# `~/.cache/gem5` directory if not already present.
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disk_image=Resource(
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"x86-parsec",
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),
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disk_image=Resource("x86-parsec"),
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readfile_contents=command,
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)
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# We need this for long running processes.
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m5.disableAllListeners()
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root = Root(full_system = True, system = board)
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root = Root(full_system=True, system=board)
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# sim_quantum must be set if KVM cores are used.
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@@ -232,8 +242,7 @@ else:
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print("Unexpected termination of simulation before ROI was reached!")
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print(
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"Exiting @ tick {} because {}.".format(
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m5.curTick(),
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exit_event.getCause()
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m5.curTick(), exit_event.getCause()
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)
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)
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exit(-1)
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@@ -257,8 +266,7 @@ else:
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print("Unexpected termination of simulation while ROI was being executed!")
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print(
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"Exiting @ tick {} because {}.".format(
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m5.curTick(),
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exit_event.getCause()
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m5.curTick(), exit_event.getCause()
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)
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)
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exit(-1)
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@@ -270,13 +278,14 @@ gem5stats = get_simstat(root)
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# We get the number of committed instructions from the timing
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# cores. We then sum and print them at the end.
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roi_insts = float(\
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gem5stats.to_json()\
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["system"]["processor"]["cores2"]["core"]["exec_context.thread_0"]\
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["numInsts"]["value"]) + float(\
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gem5stats.to_json()\
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["system"]["processor"]["cores3"]["core"]["exec_context.thread_0"]\
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["numInsts"]["value"]\
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roi_insts = float(
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gem5stats.to_json()["system"]["processor"]["cores2"]["core"][
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"exec_context.thread_0"
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]["numInsts"]["value"]
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) + float(
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gem5stats.to_json()["system"]["processor"]["cores3"]["core"][
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"exec_context.thread_0"
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]["numInsts"]["value"]
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)
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# Simulation is over at this point. We acknowledge that all the simulation
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@@ -289,8 +298,10 @@ print("Done with the simulation")
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print()
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print("Performance statistics:")
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print("Simulated time in ROI: %.2fs" % ((end_tick-start_tick)/1e12))
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print("Simulated time in ROI: %.2fs" % ((end_tick - start_tick) / 1e12))
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print("Instructions executed in ROI: %d" % ((roi_insts)))
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print("Ran a total of", m5.curTick()/1e12, "simulated seconds")
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print("Total wallclock time: %.2fs, %.2f min" % \
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(time.time()-globalStart, (time.time()-globalStart)/60))
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print("Ran a total of", m5.curTick() / 1e12, "simulated seconds")
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print(
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"Total wallclock time: %.2fs, %.2f min"
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% (time.time() - globalStart, (time.time() - globalStart) / 60)
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)
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