blob: 4029c8ac8aa9498bbc888b6a18ed8c32a4542bd7 (
plain) (
blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
|
def bm_run(N, M):
try:
from time import ticks_us, ticks_diff
except ImportError:
from time import perf_counter
ticks_us = lambda: int(perf_counter() * 1000000)
ticks_diff = lambda a, b: a - b
# Pick sensible parameters given N, M
cur_nm = (0, 0)
param = None
for nm, p in bm_params.items():
if 10 * nm[0] <= 12 * N and nm[1] <= M and nm > cur_nm:
cur_nm = nm
param = p
if param is None:
print(-1, -1, "SKIP: no matching params")
return
# Run and time benchmark
run, result = bm_setup(param)
t0 = ticks_us()
run()
t1 = ticks_us()
norm, out = result()
print(ticks_diff(t1, t0), norm, out)
|
