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#!/usr/bin/env python3
import subprocess
import os
import shutil
from dataclasses import dataclass
SOURCE_ROOT = os.path.join(os.path.dirname(os.path.realpath(__file__)), "..")
class Engine:
def __call__(self, runner, path):
raise NotImplementedError()
class SimpleEngine(Engine):
def __init__(self, name, command_to_prepend):
self.name = name
self.command_to_prepend = command_to_prepend
def command(self, path):
return self.command_to_prepend + [path]
def __call__(self, runner, path):
runner.run_command(self.command(path))
def available_engines():
engines = {}
def add_engine(engine):
engines[engine.name] = engine
add_engine(SimpleEngine("WasmKit", [
os.path.join(SOURCE_ROOT, ".build/release/wasmkit-cli"), "run",
]))
if shutil.which("wasmtime"):
add_engine(SimpleEngine("wasmtime", ["wasmtime", "run", "-C", "cache=n"]))
if shutil.which("wasm3"):
add_engine(SimpleEngine("wasm3", ["wasm3"]))
if shutil.which("wasmi_cli"):
add_engine(SimpleEngine("wasmi", ["wasmi_cli"]))
return engines
@dataclass
class Benchmark:
name: str
eta_sec: float
class CoreMarkBenchmark(Benchmark):
def __init__(self):
super().__init__("CoreMark", 20.0)
self.path = os.path.join(
SOURCE_ROOT, "Vendor", "coremark", "coremark.wasm")
def __call__(self, runner, engines):
for engine_name, engine in engines.items():
print(f"===== Running {self.name} with {engine_name} =====")
engine(runner, self.path)
class WishYouWereFastBenchmark(Benchmark):
def __init__(self):
super().__init__("WishYouWereFast", 10.0)
suites_path = os.path.join(
SOURCE_ROOT, "Vendor", "wish-you-were-fast", "wasm", "suites")
targets = []
def add_dir(subpath):
path = os.path.join(suites_path, subpath)
if not os.path.exists(path):
return
for filename in os.listdir(path):
if filename.endswith(".wasm"):
targets.append(os.path.join(path, filename))
add_dir("libsodium")
self.targets = sorted(targets)
def __call__(self, runner, engines):
# Save the result CSV file at ./results/{engine_name}/{target_name}.csv
results_dir = runner.results_dir
for i, target in enumerate(self.targets):
for engine_name, engine in engines.items():
runner.run_command([
"mkdir", "-p", os.path.join(results_dir, engine.name)])
print(f"===== Running {i+1}/{len(self.targets)}: {target} with {engine_name} =====")
if not isinstance(engine, SimpleEngine):
raise NotImplementedError(
"WishYouWereFastBenchmark only supports SimpleEngine")
csv_path = os.path.join(
results_dir, engine.name, os.path.basename(target) + ".csv")
command = engine.command(target)
command = [
"hyperfine", "--warmup", "5", "--export-csv", csv_path,
" ".join(command)
]
runner.run_command(command)
def available_benchmarks():
benchmarks = [
CoreMarkBenchmark(),
WishYouWereFastBenchmark(),
]
return {b.name: b for b in benchmarks}
class Runner:
def __init__(self, args, engines, benchmarks):
self.verbose = args.verbose
self.dry_run = args.dry_run
self.results_dir = args.results_dir
def filter_dict(d, keys):
if keys is None:
return d
return {k: v for k, v in d.items() if k in keys}
self.engines = filter_dict(engines, args.engine)
self.benchmarks = filter_dict(benchmarks, args.benchmark)
def run_command(self, command):
if self.verbose or self.dry_run:
print(f"+ {command}")
if not self.dry_run:
subprocess.check_call(command)
def build(self):
"""Build .wasm file to benchmark."""
wasi_sdk_path = os.getenv("WASI_SDK_PATH")
if wasi_sdk_path is None:
raise Exception("WASI_SDK_PATH environment variable not set")
vendor_path = os.path.join(SOURCE_ROOT, "Vendor")
self.run_command([
"make",
"compile", "-C", os.path.join(vendor_path, "coremark"),
"PORT_DIR=simple", f"CC={wasi_sdk_path}/bin/clang",
"PORT_CFLAGS=-O3 -D_WASI_EMULATED_PROCESS_CLOCKS -lwasi-emulated-process-clocks",
"EXE=.wasm"
])
self.run_command([
"swift", "build", "-c", "release", "--package-path", SOURCE_ROOT, "--product", "wasmkit-cli"
])
def run(self):
engines = dict(sorted(self.engines.items(), key=lambda x: x[0]))
for benchmark_name, benchmark in self.benchmarks.items():
print(f"===== Running {benchmark_name} (ETA: {benchmark.eta_sec} sec) =====")
benchmark(self, engines)
def concat_results(args):
import glob
results_dir = args.results_dir
results = []
original_header = None
for csv_path in glob.glob(os.path.join(results_dir, "*/*.csv"), recursive=True):
engine_name = csv_path.split("/")[-2]
target_name = csv_path.split("/")[-1].replace(".csv", "")
with open(csv_path) as f:
lines = f.readlines()
if len(lines) == 1:
print(f"Warning: {csv_path} is empty")
continue
if original_header is None:
original_header = lines[0]
for line in lines[1:]:
results.append(f"{engine_name},{target_name},{line}")
with open(os.path.join(results_dir, "data.csv"), "w") as f:
f.write(f"engine,target,{original_header}")
f.writelines(results)
def main():
import argparse
benchmarks = available_benchmarks()
engines = available_engines()
parser = argparse.ArgumentParser(description="Run benchmarks")
parser.add_argument("--skip-build", action="store_true", help="Skip building the benchmark")
parser.add_argument("--verbose", action="store_true", help="Print commands before running them")
parser.add_argument("--dry-run", action="store_true", help="Print commands without running them")
parser.add_argument("--engine", action="append", help="Engines to run", choices=engines.keys())
parser.add_argument("--benchmark", action="append", help="Benchmarks to run", choices=benchmarks.keys())
parser.add_argument("--step", action="append", help="Steps to run",
choices=["build", "run", "concat"])
parser.add_argument("--results-dir", help="Directory to save results",
default="./.build/results")
args = parser.parse_args()
if args.step is None:
args.step = ["build", "run", "concat"]
runner = Runner(args, engines, benchmarks)
if not args.skip_build and "build" in args.step:
runner.build()
if "run" in args.step:
runner.run()
if "concat" in args.step:
concat_results(args)
if __name__ == "__main__":
main()
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