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#!/usr/bin/env python3
import re
import argparse
def get_results(filename):
file = open(filename, "r")
lines = file.read().split('\n')
results = {}
re_match = re.compile(r"(\S+) - (\S+ \S+) shader: (\S*) inst, (\S*) loops, (\S*) cycles, (\S*):(\S*) spills:fills")
for line in lines:
match = re.search(re_match, line)
if match is None:
continue
groups = match.groups()
inst_count = int(groups[2])
loop_count = int(groups[3])
cycle_count = int(groups[4])
spill_count = int(groups[5])
fill_count = int(groups[6])
if inst_count != 0:
results[(groups[0], groups[1])] = {
"instructions": inst_count,
"spills": spill_count,
"fills": fill_count,
"cycles": cycle_count,
"loops": loop_count
}
return results
def format_percent(frac):
"""Converts a factional value (typically 0.0 to 1.0) to a string as a percentage"""
if abs(frac) > 0.0 and abs(frac) < 0.0001:
return "<.01%"
else:
return "{:.2f}%".format(frac * 100)
def get_delta(b, a):
if b != 0 and a != 0:
frac = float(a) / float(b) - 1.0
return ' ({})'.format(format_percent(frac))
else:
return ''
def change(b, a):
return str(b) + " -> " + str(a) + get_delta(b, a)
def get_result_string(p, b, a):
p = p + ": "
while len(p) < 50:
p = p + ' '
return p + change(b, a)
def split_list(string):
return string.split(",")
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--measurements", "-m", type=split_list,
default=["instructions", "cycles", "loops", "spills", "fills"],
help="comma-separated list of measurements to report")
parser.add_argument("--summary-only", "-s", action="store_true", default=False,
help="do not show the per-shader helped / hurt data")
parser.add_argument("--changes-only", "-c", action="store_true", default=False,
help="only show measurements that have changes")
parser.add_argument("before", type=get_results, help="the output of the original code")
parser.add_argument("after", type=get_results, help="the output of the new code")
args = parser.parse_args()
total_before = {}
total_after = {}
affected_before = {}
affected_after = {}
num_hurt = {}
num_helped = {}
for m in args.measurements:
total_before[m] = 0
total_after[m] = 0
affected_before[m] = 0
affected_after[m] = 0
helped = []
hurt = []
for p in args.before:
before_count = args.before[p][m]
if args.after.get(p) is None:
continue
# If the number of loops changed, then we may have unrolled some
# loops, in which case other measurements will be misleading.
if m != "loops" and args.before[p]["loops"] != args.after[p]["loops"]:
continue
after_count = args.after[p][m]
total_before[m] += before_count
total_after[m] += after_count
if before_count != after_count:
affected_before[m] += before_count
affected_after[m] += after_count
if after_count > before_count:
hurt.append(p)
else:
helped.append(p)
if not args.summary_only:
helped.sort(
key=lambda k: args.after[k][m] if args.before[k][m] == 0 else float(args.before[k][m] - args.after[k][m]) / args.before[k][m])
for p in helped:
namestr = p[0] + " " + p[1]
print(m + " helped: " + get_result_string(
namestr, args.before[p][m], args.after[p][m]))
if helped:
print("")
hurt.sort(
key=lambda k: args.after[k][m] if args.before[k][m] == 0 else float(args.after[k][m] - args.before[k][m]) / args.before[k][m])
for p in hurt:
namestr = p[0] + " " + p[1]
print(m + " HURT: " + get_result_string(
namestr, args.before[p][m], args.after[p][m]))
if hurt:
print("")
num_helped[m] = len(helped)
num_hurt[m] = len(hurt)
lost = []
gained = []
for p in args.before:
if args.after.get(p) is None:
lost.append(p[0] + " " + p[1])
for p in args.after:
if args.before.get(p) is None:
gained.append(p[0] + " " + p[1])
if not args.summary_only:
lost.sort()
for p in lost:
print("LOST: " + p)
if lost:
print("")
gained.sort()
for p in gained:
print("GAINED: " + p)
if gained:
print("")
any_helped_or_hurt = False
for m in args.measurements:
if num_helped[m] > 0 or num_hurt[m] > 0:
any_helped_or_hurt = True
if num_helped[m] > 0 or num_hurt[m] > 0 or not args.changes_only:
print("total {0} in shared programs: {1}\n"
"{0} in affected programs: {2}\n"
"helped: {3}\n"
"HURT: {4}\n".format(
m,
change(total_before[m], total_after[m]),
change(affected_before[m], affected_after[m]),
num_helped[m],
num_hurt[m]))
if lost or gained or not args.changes_only:
print("LOST: " + str(len(lost)))
print("GAINED: " + str(len(gained)))
else:
if not any_helped_or_hurt:
print("No changes.")
if __name__ == "__main__":
main()
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