Hi Travis,
I do not know whether the leak is caused within bliss or by sage's wrapper
unfortunately.
But can you reproduce the problem?
Best,
Thomas
On Monday, April 25, 2022 at 2:49:07 AM UTC+2 Travis Scrimshaw wrote:
> Hi Thomas,
> Could the memleak be coming from within bliss?
>
> Best,
> Travis
>
>
> On Sunday, April 24, 2022 at 1:50:26 AM UTC+9 t.will...@gmail.com wrote:
>
>> Dear all,
>>
>> there seems to be a memory leak in canonical_label(...), using bliss.
>> Here is a test script to demonstrate the problem:
>>
>> -----------------
>>
>> import os, psutil
>>
>> from sage.all import *
>>
>> process = psutil.Process(os.getpid())
>> oldmem = process.memory_info().rss
>>
>> for i in range(1000000):
>> G = graphs.RandomGNM(10,20)
>> canonG = G.canonical_label(algorithm='bliss')
>> # canonG = G.canonical_label(algorithm='sage')
>>
>> if i%1000 == 0:
>> print(f"graph count {i}, mem usage (Delta) {process.memory_info().
>> rss - oldmem}")
>> oldmem = process.memory_info().rss
>>
>> --------
>>
>> This uses up more and more memory if I use 'bliss' as algorithm:
>> On my machine around 260KB/1000 calls are lost.
>> Invoking garbage collection manually does not help.
>> I believe this might be a bug.
>>
>> There is no memory leak using 'sage' as algorithm.
>>
>> Info on my system:
>> MacBook Pro with M1 processor, macOS Monterey,
>> sage 9.4, bliss 0.73
>>
>> Thanks a lot for your help,
>>
>> Thomas
>>
>> P.S.: The amount of memory lost in the sample script is small on an
>> absolute scale, but our programs run for a week or two and we end up
>> losing many GB.
>> The obvious bugfix is to use algorithm='sage', but this is twice slower
>> than bliss.
>>
>>
>>
>>
>>
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