tcg: Add tcg_gen_vec_shl{shr}{sar}16i_i32
[qemu.git] / scripts / performance / topN_callgrind.py
blob67c59197af7c37947f3192d89d8dacda0c403b2f
1 #!/usr/bin/env python3
3 # Print the top N most executed functions in QEMU using callgrind.
4 # Syntax:
5 # topN_callgrind.py [-h] [-n] <number of displayed top functions> -- \
6 # <qemu executable> [<qemu executable options>] \
7 # <target executable> [<target execurable options>]
9 # [-h] - Print the script arguments help message.
10 # [-n] - Specify the number of top functions to print.
11 # - If this flag is not specified, the tool defaults to 25.
13 # Example of usage:
14 # topN_callgrind.py -n 20 -- qemu-arm coulomb_double-arm
16 # This file is a part of the project "TCG Continuous Benchmarking".
18 # Copyright (C) 2020 Ahmed Karaman <ahmedkhaledkaraman@gmail.com>
19 # Copyright (C) 2020 Aleksandar Markovic <aleksandar.qemu.devel@gmail.com>
21 # This program is free software: you can redistribute it and/or modify
22 # it under the terms of the GNU General Public License as published by
23 # the Free Software Foundation, either version 2 of the License, or
24 # (at your option) any later version.
26 # This program is distributed in the hope that it will be useful,
27 # but WITHOUT ANY WARRANTY; without even the implied warranty of
28 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
29 # GNU General Public License for more details.
31 # You should have received a copy of the GNU General Public License
32 # along with this program. If not, see <https://www.gnu.org/licenses/>.
34 import argparse
35 import os
36 import subprocess
37 import sys
40 # Parse the command line arguments
41 parser = argparse.ArgumentParser(
42 usage='topN_callgrind.py [-h] [-n] <number of displayed top functions> -- '
43 '<qemu executable> [<qemu executable options>] '
44 '<target executable> [<target executable options>]')
46 parser.add_argument('-n', dest='top', type=int, default=25,
47 help='Specify the number of top functions to print.')
49 parser.add_argument('command', type=str, nargs='+', help=argparse.SUPPRESS)
51 args = parser.parse_args()
53 # Extract the needed variables from the args
54 command = args.command
55 top = args.top
57 # Insure that valgrind is installed
58 check_valgrind_presence = subprocess.run(["which", "valgrind"],
59 stdout=subprocess.DEVNULL)
60 if check_valgrind_presence.returncode:
61 sys.exit("Please install valgrind before running the script!")
63 # Run callgrind
64 callgrind = subprocess.run((
65 ["valgrind", "--tool=callgrind", "--callgrind-out-file=/tmp/callgrind.data"]
66 + command),
67 stdout=subprocess.DEVNULL,
68 stderr=subprocess.PIPE)
69 if callgrind.returncode:
70 sys.exit(callgrind.stderr.decode("utf-8"))
72 # Save callgrind_annotate output to /tmp/callgrind_annotate.out
73 with open("/tmp/callgrind_annotate.out", "w") as output:
74 callgrind_annotate = subprocess.run(["callgrind_annotate",
75 "/tmp/callgrind.data"],
76 stdout=output,
77 stderr=subprocess.PIPE)
78 if callgrind_annotate.returncode:
79 os.unlink('/tmp/callgrind.data')
80 output.close()
81 os.unlink('/tmp/callgrind_annotate.out')
82 sys.exit(callgrind_annotate.stderr.decode("utf-8"))
84 # Read the callgrind_annotate output to callgrind_data[]
85 callgrind_data = []
86 with open('/tmp/callgrind_annotate.out', 'r') as data:
87 callgrind_data = data.readlines()
89 # Line number with the total number of instructions
90 total_instructions_line_number = 20
92 # Get the total number of instructions
93 total_instructions_line_data = callgrind_data[total_instructions_line_number]
94 total_number_of_instructions = total_instructions_line_data.split(' ')[0]
95 total_number_of_instructions = int(
96 total_number_of_instructions.replace(',', ''))
98 # Line number with the top function
99 first_func_line = 25
101 # Number of functions recorded by callgrind, last two lines are always empty
102 number_of_functions = len(callgrind_data) - first_func_line - 2
104 # Limit the number of top functions to "top"
105 number_of_top_functions = (top if number_of_functions >
106 top else number_of_functions)
108 # Store the data of the top functions in top_functions[]
109 top_functions = callgrind_data[first_func_line:
110 first_func_line + number_of_top_functions]
112 # Print table header
113 print('{:>4} {:>10} {:<30} {}\n{} {} {} {}'.format('No.',
114 'Percentage',
115 'Function Name',
116 'Source File',
117 '-' * 4,
118 '-' * 10,
119 '-' * 30,
120 '-' * 30,
123 # Print top N functions
124 for (index, function) in enumerate(top_functions, start=1):
125 function_data = function.split()
126 # Calculate function percentage
127 function_instructions = float(function_data[0].replace(',', ''))
128 function_percentage = (function_instructions /
129 total_number_of_instructions)*100
130 # Get function name and source files path
131 function_source_file, function_name = function_data[1].split(':')
132 # Print extracted data
133 print('{:>4} {:>9.3f}% {:<30} {}'.format(index,
134 round(function_percentage, 3),
135 function_name,
136 function_source_file))
138 # Remove intermediate files
139 os.unlink('/tmp/callgrind.data')
140 os.unlink('/tmp/callgrind_annotate.out')