On 02/03/2011 12:28 PM, Christoph Gohlke wrote:
>
>
> On 2/3/2011 2:15 PM, Eric Firing wrote:
>> On 02/03/2011 11:30 AM, Robert Abiad wrote:
>>> On 2/3/2011 10:06 AM, Eric Firing wrote:
>>>> On 02/02/2011 10:17 PM, Eric Firing wrote:
>>>>> On 02/02/2011 08:38 PM, Robert Abiad wrote:
>>>>>>
>>>>> [...]
>>>>>> I'll put it in as an enhancement, but I'm still unsure if there is a
>>>>>> bug in
>>>>>> there as well. Is there something I should be doing to clear memory
>>>>>> after the
>>>>>> first figure is closed other than close()? I don't understand why
>>>>>> memory usage
>>>>>> grows each time I replot, but I'm pretty sure it isn't desireable
>>>>>> behavior. As
>>>>>> I mentioned, this effect is worse with plot.
>>>>>>
>>>>>> So is this a bug or improper usage?
>>>>>
>>>>> I'm not quite sure, but I don't think there is a specifically
>>>>> matplotlib
>>>>> memory leak bug at work here. Are you using ipython, and if so, have
>>>>> you
>>>>> turned off the caching? In its default mode, ipython keeps lots of
>>>>> references, thereby keeping memory in use. Also, memory management and
>>>>> reporting can be a bit tricky and misleading.
>>>>>
>>>>> Nevertheless, the attached script may be illustrating the problem. Try
>>>>> running it from the command line as-is (maybe shorten the loop--it
>>>>> doesn't take 100 iterations to show the pattern) and then commenting
>>>>> out
>>>>> the line as indicated in the comment. It seems that if anything is done
>>>>> that adds ever so slightly to memory use while the figure is displayed,
>>>>> then when the figure is closed, its memory is not reused. I'm puzzled.
>>>>
>>>> I wasn't thinking straight--there is no mystery and no memory leak.
>>>> Ignore my example script referred to above. It was saving rows of the z
>>>> array, not single elements as I had intended, so of course memory use
>>>> was growing substantially.
>>>>
>>>> Eric
>>>>
>>>
>>> You may not see a memory leak, but I still can't get my memory back
>>> without killing python. I
>>> turned off the ipython caching and even ran without iPython on both
>>> Windows and Ubuntu, but when I
>>> use imshow(), followed by close('all') and another imshow(), I run out
>>> of memory. I can see from
>>> the OS that the memory does not come back after close() and that it
>>> grows after the second imshow().
>>>
>>> Any other ideas? Looks like a bug to me otherwise.
>>
>> Except that I tried the same things and did not get quite the same
>> result. Let's track this down. Please try the attached script, and see
>> if the memory usage grows substantially, or just oscillates a bit.
>>
>> Eric
>>
>
>
> One thing I noticed is that if I add a "def __del__(self): print 'del'"
> to image._AxesImageBase, it never gets called. _AxesImageBase keeps
> float64 and uint8 rgba images in a cache, which is never freed.Adding a __del__ method defeats (or blocks) the garbage collection. Since self._imcache is an instance attribute, when the instance is no longer referenced, it should get garbage-collected, provided there is no __del__ method. Eric > > Christoph > > > ------------------------------------------------------------------------------ > The modern datacenter depends on network connectivity to access resources > and provide services. The best practices for maximizing a physical server's > connectivity to a physical network are well understood - see how these > rules translate into the virtual world? > http://p.sf.net/sfu/oracle-sfdevnlfb > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ The modern datacenter depends on network connectivity to access resources and provide services. The best practices for maximizing a physical server's connectivity to a physical network are well understood - see how these rules translate into the virtual world? http://p.sf.net/sfu/oracle-sfdevnlfb _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
