mirror of
https://gitlab.freedesktop.org/gstreamer/gst-plugins-rs.git
synced 2024-05-25 11:48:06 +00:00
66030f36ad
This tracer measures the time it takes for a buffer/buffer list push to return. Part-of: <https://gitlab.freedesktop.org/gstreamer/gst-plugins-rs/-/merge_requests/1506>
78 lines
2.1 KiB
Python
78 lines
2.1 KiB
Python
import argparse
|
|
import csv
|
|
import re
|
|
import statistics
|
|
|
|
import matplotlib
|
|
import matplotlib.pyplot as plt
|
|
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument("file", help="Input file with pad push timings")
|
|
parser.add_argument("--include-filter", help="Regular expression for element:pad names that should be included")
|
|
parser.add_argument("--exclude-filter", help="Regular expression for element:pad names that should be excluded")
|
|
args = parser.parse_args()
|
|
|
|
include_filter = None
|
|
if args.include_filter is not None:
|
|
include_filter = re.compile(args.include_filter)
|
|
exclude_filter = None
|
|
if args.exclude_filter is not None:
|
|
exclude_filter = re.compile(args.exclude_filter)
|
|
|
|
pads = {}
|
|
|
|
with open(args.file, mode='r', encoding='utf_8', newline='') as csvfile:
|
|
reader = csv.reader(csvfile, delimiter=',', quotechar='|')
|
|
for row in reader:
|
|
if len(row) != 4:
|
|
continue
|
|
|
|
if include_filter is not None and not include_filter.match(row[1]):
|
|
continue
|
|
if exclude_filter is not None and exclude_filter.match(row[1]):
|
|
continue
|
|
|
|
if not row[1] in pads:
|
|
pads[row[1]] = {
|
|
'push-duration': [],
|
|
}
|
|
|
|
push_duration = float(row[3]) / 1000000.0
|
|
|
|
wallclock = float(row[0]) / 1000000000.0
|
|
pads[row[1]]['push-duration'].append((wallclock, push_duration))
|
|
|
|
matplotlib.rcParams['figure.dpi'] = 200
|
|
|
|
prop_cycle = plt.rcParams['axes.prop_cycle']
|
|
colors = prop_cycle.by_key()['color']
|
|
|
|
fig, ax1 = plt.subplots()
|
|
|
|
ax1.set_xlabel("wallclock (s)")
|
|
ax1.set_ylabel("push duration (ms)")
|
|
ax1.tick_params(axis='y')
|
|
|
|
for (i, (pad, values)) in enumerate(pads.items()):
|
|
# cycle colors
|
|
i = i % len(colors)
|
|
|
|
push_durations = [x[1] for x in values['push-duration']]
|
|
ax1.plot(
|
|
[x[0] for x in values['push-duration']],
|
|
push_durations,
|
|
'.', label = pad,
|
|
color = colors[i],
|
|
)
|
|
|
|
print("{} push durations: min: {}ms max: {}ms mean: {}ms".format(
|
|
pad,
|
|
min(push_durations),
|
|
max(push_durations),
|
|
statistics.mean(push_durations)))
|
|
|
|
fig.tight_layout()
|
|
plt.legend(loc='best')
|
|
|
|
plt.show()
|