diff options
author | Nikolay Borisov <nborisov@suse.com> | 2022-07-01 14:35:13 +0300 |
---|---|---|
committer | akpm <akpm@linux-foundation.org> | 2022-07-17 17:31:40 -0700 |
commit | 8b5db6679807fd0ab1154375ea6e5aa6b11c4350 (patch) | |
tree | 1a1a5836e7fa58b90355de5d2c83688a6d69b84d /scripts | |
parent | b62eb2731e17e83c32e1a6089b4463da1a75e66e (diff) |
scripts/bloat-o-meter: add -p argument
When doing cross platform development on a machine sometimes it might be
useful to invoke bloat-o-meter for files which haven't been build with the
native toolchain. In cases when the host nm doesn't support the target
one then a toolchain-specific nm could be used. Add this ability by
adding the -p allowing invocations as:
./scripts/bloat-o-meter -p riscv64-unknown-linux-gnu- file1.o file2.o
Link: https://lkml.kernel.org/r/20220701113513.1938008-2-nborisov@suse.com
Signed-off-by: Nikolay Borisov <nborisov@suse.com>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
Diffstat (limited to 'scripts')
-rwxr-xr-x | scripts/bloat-o-meter | 7 |
1 files changed, 6 insertions, 1 deletions
diff --git a/scripts/bloat-o-meter b/scripts/bloat-o-meter index 2a360118710e..f9553f60a14a 100755 --- a/scripts/bloat-o-meter +++ b/scripts/bloat-o-meter @@ -17,6 +17,7 @@ group = parser.add_mutually_exclusive_group() group.add_argument('-c', help='categorize output based on symbol type', action='store_true') group.add_argument('-d', help='Show delta of Data Section', action='store_true') group.add_argument('-t', help='Show delta of text Section', action='store_true') +parser.add_argument('-p', dest='prefix', help='Arch prefix for the tool being used. Useful in cross build scenarios') parser.add_argument('file1', help='First file to compare') parser.add_argument('file2', help='Second file to compare') @@ -26,7 +27,11 @@ re_NUMBER = re.compile(r'\.[0-9]+') def getsizes(file, format): sym = {} - with os.popen("nm --size-sort " + file) as f: + nm = "nm" + if args.prefix: + nm = "{}nm".format(args.prefix) + + with os.popen("{} --size-sort {}".format(nm, file)) as f: for line in f: if line.startswith("\n") or ":" in line: continue |