3 # Print the top N most executed functions in QEMU using callgrind.
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.
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/>.
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
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!")
64 callgrind
= subprocess
.run((
65 ["valgrind", "--tool=callgrind", "--callgrind-out-file=/tmp/callgrind.data"]
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"],
77 stderr
=subprocess
.PIPE
)
78 if callgrind_annotate
.returncode
:
79 os
.unlink('/tmp/callgrind.data')
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[]
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
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
]
113 print('{:>4} {:>10} {:<30} {}\n{} {} {} {}'.format('No.',
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),
136 function_source_file
))
138 # Remove intermediate files
139 os
.unlink('/tmp/callgrind.data')
140 os
.unlink('/tmp/callgrind_annotate.out')