316 lines
10 KiB
Python
Executable File
316 lines
10 KiB
Python
Executable File
#!/usr/bin/env python3
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# This file is part of the MicroPython project, http://micropython.org/
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# The MIT License (MIT)
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# Copyright (c) 2019 Damien P. George
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import os
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import subprocess
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import sys
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import argparse
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from glob import glob
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sys.path.append("../tools")
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import pyboard
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prepare_script_for_target = __import__("run-tests").prepare_script_for_target
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# Paths for host executables
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if os.name == "nt":
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CPYTHON3 = os.getenv("MICROPY_CPYTHON3", "python3.exe")
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MICROPYTHON = os.getenv("MICROPY_MICROPYTHON", "../ports/windows/micropython.exe")
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else:
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CPYTHON3 = os.getenv("MICROPY_CPYTHON3", "python3")
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MICROPYTHON = os.getenv("MICROPY_MICROPYTHON", "../ports/unix/build-standard/micropython")
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PYTHON_TRUTH = CPYTHON3
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BENCH_SCRIPT_DIR = "perf_bench/"
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def compute_stats(lst):
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avg = 0
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var = 0
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for x in lst:
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avg += x
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var += x * x
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avg /= len(lst)
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var = max(0, var / len(lst) - avg**2)
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return avg, var**0.5
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def run_script_on_target(target, script):
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output = b""
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err = None
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if isinstance(target, pyboard.Pyboard):
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# Run via pyboard interface
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try:
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target.enter_raw_repl()
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output = target.exec_(script)
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except pyboard.PyboardError as er:
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err = er
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else:
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# Run local executable
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try:
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p = subprocess.run(
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target, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, input=script
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)
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output = p.stdout
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except subprocess.CalledProcessError as er:
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err = er
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return str(output.strip(), "ascii"), err
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def run_feature_test(target, test):
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with open("feature_check/" + test + ".py", "rb") as f:
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script = f.read()
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output, err = run_script_on_target(target, script)
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if err is None:
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return output
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else:
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return "CRASH: %r" % err
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def run_benchmark_on_target(target, script):
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output, err = run_script_on_target(target, script)
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if err is None:
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if output == "SKIP":
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return -1, -1, "SKIP"
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time, norm, result = output.split(None, 2)
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try:
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return int(time), int(norm), result
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except ValueError:
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return -1, -1, "CRASH: %r" % output
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else:
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return -1, -1, "CRASH: %r" % err
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def run_benchmarks(args, target, param_n, param_m, n_average, test_list):
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skip_complex = run_feature_test(target, "complex") != "complex"
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skip_native = run_feature_test(target, "native_check") != "native"
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target_had_error = False
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for test_file in sorted(test_list):
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print(test_file + ": ", end="")
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# Check if test should be skipped
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skip = (
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skip_complex
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and test_file.find("bm_fft") != -1
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or skip_native
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and test_file.find("viper_") != -1
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)
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if skip:
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print("SKIP")
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continue
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# Create test script
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with open(test_file, "rb") as f:
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test_script = f.read()
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with open(BENCH_SCRIPT_DIR + "benchrun.py", "rb") as f:
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test_script += f.read()
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test_script += b"bm_run(%u, %u)\n" % (param_n, param_m)
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# Write full test script if needed
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if 0:
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with open("%s.full" % test_file, "wb") as f:
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f.write(test_script)
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# Process script through mpy-cross if needed
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if isinstance(target, pyboard.Pyboard) or args.via_mpy:
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crash, test_script_target = prepare_script_for_target(args, script_text=test_script)
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if crash:
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print("CRASH:", test_script_target)
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continue
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else:
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test_script_target = test_script
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# Run MicroPython a given number of times
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times = []
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scores = []
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error = None
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result_out = None
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for _ in range(n_average):
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time, norm, result = run_benchmark_on_target(target, test_script_target)
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if time < 0 or norm < 0:
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error = result
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break
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if result_out is None:
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result_out = result
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elif result != result_out:
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error = "FAIL self"
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break
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times.append(time)
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scores.append(1e6 * norm / time)
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# Check result against truth if needed
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if error is None and result_out != "None":
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test_file_expected = test_file + ".exp"
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if os.path.isfile(test_file_expected):
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# Expected result is given by a file, so read that in
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with open(test_file_expected) as f:
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result_exp = f.read().strip()
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else:
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# Run CPython to work out the expected result
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_, _, result_exp = run_benchmark_on_target(PYTHON_TRUTH, test_script)
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if result_out != result_exp:
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error = "FAIL truth"
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if error is not None:
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if not error.startswith("SKIP"):
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target_had_error = True
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print(error)
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else:
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t_avg, t_sd = compute_stats(times)
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s_avg, s_sd = compute_stats(scores)
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print(
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"{:.2f} {:.4f} {:.2f} {:.4f}".format(
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t_avg, 100 * t_sd / t_avg, s_avg, 100 * s_sd / s_avg
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)
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)
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if 0:
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print(" times: ", times)
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print(" scores:", scores)
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sys.stdout.flush()
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return target_had_error
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def parse_output(filename):
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with open(filename) as f:
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params = f.readline()
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n, m, _ = params.strip().split()
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n = int(n.split("=")[1])
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m = int(m.split("=")[1])
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data = []
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for l in f:
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if ": " in l and ": SKIP" not in l and "CRASH: " not in l:
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name, values = l.strip().split(": ")
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values = tuple(float(v) for v in values.split())
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data.append((name,) + values)
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return n, m, data
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def compute_diff(file1, file2, diff_score):
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# Parse output data from previous runs
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n1, m1, d1 = parse_output(file1)
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n2, m2, d2 = parse_output(file2)
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# Print header
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if diff_score:
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print("diff of scores (higher is better)")
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else:
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print("diff of microsecond times (lower is better)")
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if n1 == n2 and m1 == m2:
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hdr = "N={} M={}".format(n1, m1)
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else:
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hdr = "N={} M={} vs N={} M={}".format(n1, m1, n2, m2)
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print(
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"{:26} {:>10} -> {:>10} {:>10} {:>7}% (error%)".format(
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hdr, file1, file2, "diff", "diff"
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)
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)
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# Print entries
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while d1 and d2:
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if d1[0][0] == d2[0][0]:
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# Found entries with matching names
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entry1 = d1.pop(0)
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entry2 = d2.pop(0)
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name = entry1[0].rsplit("/")[-1]
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av1, sd1 = entry1[1 + 2 * diff_score], entry1[2 + 2 * diff_score]
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av2, sd2 = entry2[1 + 2 * diff_score], entry2[2 + 2 * diff_score]
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sd1 *= av1 / 100 # convert from percent sd to absolute sd
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sd2 *= av2 / 100 # convert from percent sd to absolute sd
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av_diff = av2 - av1
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sd_diff = (sd1**2 + sd2**2) ** 0.5
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percent = 100 * av_diff / av1
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percent_sd = 100 * sd_diff / av1
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print(
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"{:26} {:10.2f} -> {:10.2f} : {:+10.2f} = {:+7.3f}% (+/-{:.2f}%)".format(
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name, av1, av2, av_diff, percent, percent_sd
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)
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)
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elif d1[0][0] < d2[0][0]:
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d1.pop(0)
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else:
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d2.pop(0)
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def main():
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cmd_parser = argparse.ArgumentParser(description="Run benchmarks for MicroPython")
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cmd_parser.add_argument(
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"-t", "--diff-time", action="store_true", help="diff time outputs from a previous run"
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)
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cmd_parser.add_argument(
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"-s", "--diff-score", action="store_true", help="diff score outputs from a previous run"
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)
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cmd_parser.add_argument(
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"-p", "--pyboard", action="store_true", help="run tests via pyboard.py"
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)
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cmd_parser.add_argument(
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"-d", "--device", default="/dev/ttyACM0", help="the device for pyboard.py"
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)
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cmd_parser.add_argument("-a", "--average", default="8", help="averaging number")
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cmd_parser.add_argument(
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"--emit", default="bytecode", help="MicroPython emitter to use (bytecode or native)"
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)
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cmd_parser.add_argument("--via-mpy", action="store_true", help="compile code to .mpy first")
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cmd_parser.add_argument("--mpy-cross-flags", default="", help="flags to pass to mpy-cross")
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cmd_parser.add_argument(
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"N", nargs=1, help="N parameter (approximate target CPU frequency in MHz)"
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)
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cmd_parser.add_argument("M", nargs=1, help="M parameter (approximate target heap in kbytes)")
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cmd_parser.add_argument("files", nargs="*", help="input test files")
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args = cmd_parser.parse_args()
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if args.diff_time or args.diff_score:
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compute_diff(args.N[0], args.M[0], args.diff_score)
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sys.exit(0)
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# N, M = 50, 25 # esp8266
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# N, M = 100, 100 # pyboard, esp32
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# N, M = 1000, 1000 # PC
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N = int(args.N[0])
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M = int(args.M[0])
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n_average = int(args.average)
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if args.pyboard:
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if not args.mpy_cross_flags:
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args.mpy_cross_flags = "-march=armv7m"
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target = pyboard.Pyboard(args.device)
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target.enter_raw_repl()
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else:
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target = [MICROPYTHON, "-X", "emit=" + args.emit]
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if len(args.files) == 0:
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tests_skip = ("benchrun.py",)
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if M <= 25:
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# These scripts are too big to be compiled by the target
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tests_skip += ("bm_chaos.py", "bm_hexiom.py", "misc_raytrace.py")
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tests = sorted(
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BENCH_SCRIPT_DIR + test_file
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for test_file in os.listdir(BENCH_SCRIPT_DIR)
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if test_file.endswith(".py") and test_file not in tests_skip
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)
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else:
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tests = sorted(args.files)
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print("N={} M={} n_average={}".format(N, M, n_average))
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target_had_error = run_benchmarks(args, target, N, M, n_average, tests)
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if isinstance(target, pyboard.Pyboard):
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target.exit_raw_repl()
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target.close()
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if target_had_error:
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sys.exit(1)
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if __name__ == "__main__":
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main()
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