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import pickle
import sys
import os
import io
import subprocess
from typing import Dict, Any
__all__ = ["format_flamegraph", "segments", "memory", "compare", "stats", "Bytes"]
def _frame_fmt(f):
i = f['line']
fname = f['filename'].split('/')[-1]
func = f['name']
return f'{fname}:{i}:{func}'
def format_flamegraph(flamegraph_lines, flamegraph_script=None):
if flamegraph_script is None:
flamegraph_script = f'/tmp/{os.getuid()}_flamegraph.pl'
if not os.path.exists(flamegraph_script):
import urllib.request
print(f"Downloading flamegraph.pl to: {flamegraph_script}")
urllib.request.urlretrieve(
'https://raw.githubusercontent.com/brendangregg/FlameGraph/master/flamegraph.pl', flamegraph_script)
subprocess.run(['chmod', '+x', flamegraph_script])
args = [flamegraph_script, '--countname', 'bytes']
p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, encoding='utf-8')
assert p.stdin is not None
assert p.stdout is not None
p.stdin.write(flamegraph_lines)
p.stdin.close()
result = p.stdout.read()
p.stdout.close()
p.wait()
assert p.wait() == 0
return result
def _write_blocks(f, prefix, blocks):
for b in blocks:
if 'history' not in b:
f.write(f'{prefix};{b["state"]} {b["size"]}\n')
continue
accounted_for_size = 0
for h in b['history']:
sz = h['real_size']
accounted_for_size += sz
frames = h['frames']
if frames:
frame_s = ';'.join([_frame_fmt(f) for f in reversed(frames)])
else:
frame_s = "<non-python>"
f.write(f'{prefix};{b["state"]};{frame_s} {sz}\n')
gaps = b['size'] - accounted_for_size
if gaps:
f.write(f'{prefix};{b["state"]};<gaps> {gaps}\n')
def segments(snapshot, format_flamegraph=format_flamegraph):
f = io.StringIO()
for seg in snapshot:
prefix = f'stream_{seg["stream"]};seg_{seg["address"]}'
_write_blocks(f, prefix, seg['blocks'])
return format_flamegraph(f.getvalue())
def memory(snapshot, format_flamegraph=format_flamegraph):
f = io.StringIO()
for seg in snapshot:
prefix = f'stream_{seg["stream"]}'
_write_blocks(f, prefix, seg['blocks'])
return format_flamegraph(f.getvalue())
def compare(before, after, format_flamegraph=format_flamegraph):
def _seg_key(seg):
return (seg['address'], seg['total_size'])
def _seg_info(seg):
return f'stream_{seg["stream"]};seg_{seg["address"]}'
f = io.StringIO()
before_segs = set(_seg_key(seg) for seg in before)
after_segs = set(_seg_key(seg) for seg in after)
print(f'only_before = {list(a for a,_ in (before_segs - after_segs))}')
print(f'only_after = {list(a for a,_ in (after_segs - before_segs))}')
for seg in before:
if _seg_key(seg) not in after_segs:
_write_blocks(f, f'only_before;{_seg_info(seg)}', seg['blocks'])
for seg in after:
if _seg_key(seg) not in before_segs:
_write_blocks(f, f'only_after;{_seg_info(seg)}', seg['blocks'])
return format_flamegraph(f.getvalue())
class Bytes:
def __init__(self, value):
self.value = value
def __add__(self, rhs):
return Bytes(self.value + rhs)
def __repr__(self):
num = self.value
# https://stackoverflow.com/questions/1094841/get-human-readable-version-of-file-size
for unit in ["", "Ki", "Mi", "Gi", "Ti", "Pi", "Ei", "Zi"]:
if abs(num) < 1024.0:
return f"{num:3.1f}{unit}B"
num /= 1024.0
return f"{num:.1f}YiB"
def stats(snapshot):
result : Dict[str, Any] = {}
result['segments'] = len(snapshot)
result['total_size'] = Bytes(0)
for seg in snapshot:
total_size = 0
for b in seg['blocks']:
if b['state'] not in result:
result[b['state']] = Bytes(0)
total_size += b['size']
result[b['state']] += b['size']
assert seg['total_size'] == total_size
result['total_size'] += total_size
return result
if __name__ == "__main__":
import os.path
thedir = os.path.realpath(os.path.dirname(__file__))
if thedir in sys.path:
# otherwise we find cuda/random.py as random...
sys.path.remove(thedir)
from pprint import pprint
import argparse
fn_name = 'torch.cuda.memory_dbg.snapshot()'
pickled = f'pickled memory statistics from {fn_name}'
parser = argparse.ArgumentParser(description=f'Visualize memory dumps produced by {fn_name}')
subparsers = parser.add_subparsers(dest='action')
def _output(p):
p.add_argument('-o', '--output', default='output.svg', help='flamegraph svg (default: output.svg)')
stats_a = subparsers.add_parser('stats', description='Prints overall allocation statistics')
stats_a.add_argument('input', help=pickled)
description = 'Generate a flamegraph that visualizes what memory is stored in each allocator segment (aka block)'
segments_a = subparsers.add_parser('segments', description=description)
segments_a.add_argument('input', help=pickled)
_output(segments_a)
description = "Generate a flamegraph the program locations contributing to CUDA memory usage."
memory_a = subparsers.add_parser('memory', description=description)
memory_a.add_argument('input', help=pickled)
_output(memory_a)
description = 'Generate a flamegraph that shows segments (aka blocks) that have been added ' \
'or removed between two different memorys snapshots.'
compare_a = subparsers.add_parser('compare', description=description)
compare_a.add_argument('before', help=pickled)
compare_a.add_argument('after', help=pickled)
_output(compare_a)
args = parser.parse_args()
def _read(name):
if name == '-':
return sys.stdin.buffer
else:
return open(name, 'rb')
def _write(name, data):
with open(name, 'w') as f:
f.write(data)
if args.action == 'segments':
data = pickle.load(_read(args.input))
_write(args.output, segments(data))
elif args.action == 'memory':
data = pickle.load(_read(args.input))
_write(args.output, memory(data))
elif args.action == 'stats':
data = pickle.load(_read(args.input))
pprint(stats(data))
elif args.action == 'compare':
before = pickle.load(_read(args.before))
after = pickle.load(_read(args.after))
_write(args.output, compare(before, after))
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