xref: /aosp_15_r20/external/perfetto/tools/analyze_profiling_sampling_distribution.py (revision 6dbdd20afdafa5e3ca9b8809fa73465d530080dc)
1#!/usr/bin/python
2
3# Copyright (C) 2018 The Android Open Source Project
4#
5# Licensed under the Apache License, Version 2.0 (the "License");
6# you may not use this file except in compliance with the License.
7# You may obtain a copy of the License at
8#
9#      http://www.apache.org/licenses/LICENSE-2.0
10#
11# Unless required by applicable law or agreed to in writing, software
12# distributed under the License is distributed on an "AS IS" BASIS,
13# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14# See the License for the specific language governing permissions and
15# limitations under the License.
16
17import sys
18
19import scipy as sp
20import seaborn as sns
21
22from collections import defaultdict
23from matplotlib import pyplot as plt
24
25
26def main(argv):
27  sns.set()
28
29  # Map from key to map from iteration id to bytes allocated.
30  distributions = defaultdict(lambda: defaultdict(int))
31  ground_truth = {}
32  for line in sys.stdin:
33    stripped = line.strip()
34    # Skip empty lines
35    if not stripped:
36      continue
37    itr, code_location, size = stripped.split(" ")
38    if itr == 'g':
39      assert code_location not in ground_truth
40      ground_truth[code_location] = int(size)
41    else:
42      assert int(itr) not in distributions[code_location]
43      distributions[code_location][int(itr)] += int(size)
44
45  # Map from key to list of bytes allocated, one for each iteration.
46  flat_distributions = {
47      key: list(value.values()) for key, value in distributions.items()
48  }
49
50  for key, value in flat_distributions.items():
51    print(key, "ground truth %d " % ground_truth[key], sp.stats.describe(value))
52    sns.distplot(value)
53    plt.show()
54
55
56if __name__ == '__main__':
57  main(sys.argv)
58