On MacBook Air Mid 2012, with Sage 9.2,
39
0
memory usage 10k: 5.0
0
memory usage 20k: 11.0
On Thursday, March 18, 2021 at 10:01:56 AM UTC-5 David Joyner wrote:
> On Thu, Mar 18, 2021 at 6:56 AM Maarten Derickx <m.derick...@gmail.com>
> wrote:
>
>> Hi All,
>>
>> tldr: the bottom of this post contains example code of which I would like
>> the results on some other systems.
>>
>> I recently encountered a memory leak in the relatively innocently looking
>> code:
>>
>> d = 27
>> M = 109
>> for i in range(10000):
>> for a in srange(M):
>> for r in srange(d):
>> tmp = r*a
>>
>> However it doesn't seem to be on all platforms that sage supports. For
>> example on cocalc (ubuntu 20.04) one gets:
>>
>> ~$ sage
>> ┌────────────────────────────────────────────────────────────────────┐
>> │ SageMath version 9.2, Release Date: 2020-10-24 │
>> │ Create a "Sage Worksheet" file for the notebook interface. │
>> │ Enhanced for CoCalc. │
>> │ Using Python 3.8.5. Type "help()" for help. │
>> └────────────────────────────────────────────────────────────────────┘
>> sage: import gc
>> ....: gc.collect()
>> ....: mem = get_memory_usage()
>> ....: d = 27
>> ....: M = 109
>> ....: for i in range(10000):
>> ....: for a in srange(M):
>> ....: for r in srange(1,d):
>> ....: tmp = r*a
>> ....: gc.collect()
>> ....: print("memory usage 10k:", get_memory_usage(mem))
>> ....: mem = get_memory_usage()
>> ....: for i in range(20000):
>> ....: for a in srange(M):
>> ....: for r in srange(1,d):
>> ....: tmp = r*a
>> ....: gc.collect()
>> ....: print("memory usage 20k:", get_memory_usage(mem))
>> ....:
>>
>> 434
>> 0
>> memory usage 10k: 9.15234375
>> 0
>> memory usage 20k: 21.3984375
>>
>>
>> showing clear indication of a memory leak. While on my own laptop (OS X
>> 10.13.6) I get:
>>
>>
>>
>> ~ mderickx$ sage
>> ┌────────────────────────────────────────────────────────────────────┐
>> │ SageMath version 9.2, Release Date: 2020-10-24 │
>> │ Using Python 3.8.5. Type "help()" for help. │
>> └────────────────────────────────────────────────────────────────────┘
>> sage: import gc
>> ....: gc.collect()
>> ....: mem = get_memory_usage()
>> ....: d = 27
>> ....: M = 109
>> ....: for i in range(10000):
>> ....: for a in srange(M):
>> ....: for r in srange(1,d):
>> ....: tmp = r*a
>> ....: gc.collect()
>> ....: print("memory usage 10k:", get_memory_usage(mem))
>> ....: mem = get_memory_usage()
>> ....: for i in range(20000):
>> ....: for a in srange(M):
>> ....: for r in srange(1,d):
>> ....: tmp = r*a
>> ....: gc.collect()
>> ....: print("memory usage 20k:", get_memory_usage(mem))
>> ....:
>> 278
>> 0
>> memory usage 10k: 0.0
>> 0
>> memory usage 20k: 0.0
>>
>>
>> so here the memory leak does not occur. However I don't have any other
>> systems to which I have access to. So I was wondering if people could
>> execute the code below on some other systems and report back here to see
>> where the leaking is actually occurring. Since I do not have access to a
>> plain vanilla sage install on ubuntu, *I am especially interested if on
>> ubuntu the non cocalc enhanced version of sage also produces a memory leak
>> for the following code:*
>>
>> import gc
>> gc.collect()
>> mem = get_memory_usage()
>> d = 27
>> M = 109
>> for i in range(10000):
>> for a in srange(M):
>> for r in srange(1,d):
>> tmp = r*a
>> gc.collect()
>> print("memory usage 10k:", get_memory_usage(mem))
>> mem = get_memory_usage()
>> for i in range(20000):
>> for a in srange(M):
>> for r in srange(1,d):
>> tmp = r*a
>> gc.collect()
>> print("memory usage 20k:", get_memory_usage(mem))
>>
>>
> This is in sage 9.1.rc5 running on ubuntu 20.4 on a dell inspiron laptop.
> It's an old version of sage but I hope it helps:
>
>
> sage: gc.collect()
> ....: mem = get_memory_usage()
> ....: d = 27
> ....: M = 109
> ....: for i in range(10000):
> ....: for a in srange(M):
> ....: for r in srange(1,d):
> ....: tmp = r*a
> ....: gc.collect()
> ....: print("memory usage 10k:", get_memory_usage(mem))
> ....: mem = get_memory_usage()
> ....: for i in range(20000):
> ....: for a in srange(M):
> ....: for r in srange(1,d):
> ....: tmp = r*a
> ....: gc.collect()
> ....: print("memory usage 20k:", get_memory_usage(mem))
> ....:
> 176
> 0
> memory usage 10k: 10.0546875
> 0
> memory usage 20k: 21.3984375
>
>
>
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