forked from M-Labs/artiq
compiler.testbench.perf_embedding: implement.
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2124ff9e91
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@ -0,0 +1,21 @@
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import time, cProfile as profile, pstats
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def benchmark(f, name):
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profiler = profile.Profile()
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profiler.enable()
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start = time.perf_counter()
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end = 0
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runs = 0
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while end - start < 5 or runs < 10:
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f()
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runs += 1
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end = time.perf_counter()
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profiler.create_stats()
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print("{} {} runs: {:.2f}s, {:.2f}ms/run".format(
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runs, name, end - start, (end - start) / runs * 1000))
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stats = pstats.Stats(profiler)
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stats.strip_dirs().sort_stats('time').print_stats(10)
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@ -1,11 +1,12 @@
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import sys, os, time, cProfile as profile, pstats
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import sys, os
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from pythonparser import diagnostic
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from pythonparser import diagnostic
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from .. import Module, Source
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from .. import Module, Source
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from ..targets import OR1KTarget
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from ..targets import OR1KTarget
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from . import benchmark
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def main():
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def main():
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if not len(sys.argv) > 1:
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if not len(sys.argv) == 2:
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print("Expected at least one module filename", file=sys.stderr)
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print("Expected exactly one module filename", file=sys.stderr)
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exit(1)
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exit(1)
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def process_diagnostic(diag):
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def process_diagnostic(diag):
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@ -17,38 +18,19 @@ def main():
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engine.process = process_diagnostic
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engine.process = process_diagnostic
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# Make sure everything's valid
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# Make sure everything's valid
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modules = [Module(Source.from_filename(filename, engine=engine))
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filename = sys.argv[1]
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for filename in sys.argv[1:]]
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with open(filename) as f:
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code = f.read()
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source = Source.from_string(code, filename, engine=engine)
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module = Module(source)
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def benchmark(f, name):
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benchmark(lambda: Source.from_string(code, filename),
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profiler = profile.Profile()
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"ARTIQ parsing and inference")
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profiler.enable()
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start = time.perf_counter()
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benchmark(lambda: Module(source),
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end = 0
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"ARTIQ transforms and validators")
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runs = 0
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while end - start < 5 or runs < 10:
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f()
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runs += 1
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end = time.perf_counter()
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profiler.create_stats()
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benchmark(lambda: OR1KTarget().compile_and_link([module]),
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print("{} {} runs: {:.2f}s, {:.2f}ms/run".format(
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runs, name, end - start, (end - start) / runs * 1000))
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stats = pstats.Stats(profiler)
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stats.strip_dirs().sort_stats('time').print_stats(10)
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sources = []
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for filename in sys.argv[1:]:
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with open(filename) as f:
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sources.append(f.read())
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benchmark(lambda: [Module.from_string(src) for src in sources],
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"ARTIQ typechecking and transforms")
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benchmark(lambda: OR1KTarget().compile_and_link(modules),
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"LLVM optimization and linking")
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"LLVM optimization and linking")
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if __name__ == "__main__":
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if __name__ == "__main__":
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import sys, os
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from pythonparser import diagnostic
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from ...protocols.file_db import FlatFileDB
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from ...master.worker_db import DeviceManager
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from .. import Module
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from ..embedding import Stitcher
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from ..targets import OR1KTarget
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from . import benchmark
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def main():
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if not len(sys.argv) == 2:
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print("Expected exactly one module filename", file=sys.stderr)
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exit(1)
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def process_diagnostic(diag):
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print("\n".join(diag.render()), file=sys.stderr)
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if diag.level in ("fatal", "error"):
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exit(1)
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engine = diagnostic.Engine()
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engine.process = process_diagnostic
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with open(sys.argv[1]) as f:
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testcase_code = compile(f.read(), f.name, "exec")
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testcase_vars = {'__name__': 'testbench'}
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exec(testcase_code, testcase_vars)
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ddb_path = os.path.join(os.path.dirname(sys.argv[1]), "ddb.pyon")
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dmgr = DeviceManager(FlatFileDB(ddb_path))
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def embed():
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experiment = testcase_vars["Benchmark"](dmgr)
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stitcher = Stitcher()
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stitcher.stitch_call(experiment.run, (experiment,), {})
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stitcher.finalize()
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return stitcher
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stitcher = embed()
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module = Module(stitcher)
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benchmark(lambda: embed(),
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"ARTIQ embedding")
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benchmark(lambda: Module(stitcher),
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"ARTIQ transforms and validators")
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benchmark(lambda: OR1KTarget().compile_and_link([module]),
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"LLVM optimization and linking")
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if __name__ == "__main__":
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main()
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