Francesc Altet wrote:
> A Dissabte 12 Agost 2006 14:37, Todd Miller va escriure:
>
>> I agree with all of Travis' comments below and committed the suggested
>> changes to numarray CVS. I found one other numarray change needed
>> for Francesc's examples to run (apparently) leak-free:
>>
>> Py
A Dissabte 12 Agost 2006 14:37, Todd Miller va escriure:
> I agree with all of Travis' comments below and committed the suggested
> changes to numarray CVS. I found one other numarray change needed
> for Francesc's examples to run (apparently) leak-free:
>
> Py_INCREF(obj)
> Py_XDECREF(a->base)
I agree with all of Travis' comments below and committed the suggested
changes to numarray CVS. I found one other numarray change needed
for Francesc's examples to run (apparently) leak-free:
Py_INCREF(obj)
Py_XDECREF(a->base)
a->base = obj
Py_DECREF(cobj)
Thanks Travis!
Regards,
Todd
Tra
Travis Oliphant wrote:
> As far as numpy knows this is all it's supposed to do. This seems to
> indicate that something is going on inside numarray.array(a)
>
> because once you had that line to the loop, memory consumption shows up.
>
> In fact, you can just add the line
>
> a = _numarray._arra
Francesc Altet wrote:
> Hi,
>
> I was tracking down a memory leak in PyTables and it boiled down to a problem
> in the array protocol. The issue is easily exposed by:
>
> for i in range(100):
> numarray.array(numpy.zeros(dtype=numpy.float64, shape=3))
>
> and looking at the memory consumpt
Francesc Altet wrote:
> Hi,
>
> I was tracking down a memory leak in PyTables and it boiled down to a problem
> in the array protocol. The issue is easily exposed by:
>
> for i in range(100):
> numarray.array(numpy.zeros(dtype=numpy.float64, shape=3))
>
>
More data:
The following code
Todd Miller wrote:
>>
>>
> I looked at this a little with a debug python and figure it's a bug in
> numpy.zeros():
>
>
Hmmm. I thought of that, but could not get any memory leak by just
creating zeros in a four loop.
In other words:
for i in xrange(1000):
numpy.zeros(dtype
Francesc Altet wrote:
> Hi,
>
> I was tracking down a memory leak in PyTables and it boiled down to a problem
> in the array protocol. The issue is easily exposed by:
>
> for i in range(100):
> numarray.array(numpy.zeros(dtype=numpy.float64, shape=3))
>
> and looking at the memory consumpt
Hi,
I was tracking down a memory leak in PyTables and it boiled down to a problem
in the array protocol. The issue is easily exposed by:
for i in range(100):
numarray.array(numpy.zeros(dtype=numpy.float64, shape=3))
and looking at the memory consumption of the process. The same happens
