[Numpy-discussion] creating a Numeric array from a numpy array LEAKS memory
Dear numpy users, I need to pass a Numeric array to some oldie code from a numpy array. I decided to go like this: for i in range(BIGNUMER): my_numpy_array=grabArray(i) na=Numeric.array( my_numpy_array, Numeric.Float) oldie_code(na) The constructor line: na=Numeric.array( my_numpy_array, Numeric.Float) does leak memory. Is there a way to pass the Numeric array to oldie_code without the leaks? Regards, -- Jose M. Borreguero Postdoctoral Associate Oak Ridge National Laboratory P.O. Box 2008, M.S. 6164 Oak Ridge, TN 37831 phone: 865-241-3071 fax: 865-576-5491 Email: [EMAIL PROTECTED] ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] creating a Numeric array from a numpy array LEAKS memory
Jose Borreguero wrote: Dear numpy users, I need to pass a Numeric array to some oldie code from a numpy array. I decided to go like this: for i in range(BIGNUMER): my_numpy_array=grabArray(i) na=Numeric.array( my_numpy_array, Numeric.Float) oldie_code(na) The constructor line: na=Numeric.array( my_numpy_array, Numeric.Float) does leak memory. Is there a way to pass the Numeric array to oldie_code without the leaks? This should work without memory leaks, but there may be a bug in NumPy or Numeric. Which version of Numeric and NumPy do you have? -Travis ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] creating a Numeric array from a numpy array LEAKS memory
numpy 1.1.0 (from /usr/lib/python2.4/site-packages/numpy/version.py) Numeric 24.2 (from /usr/lib/python2.4/site-packages/Numeric/numeric_version.py) I also tried with an intermediate list, but got the same result: *mylist=list(my_numpy_array) na=Numeric.array( mylist, Numeric.Float)* I don't have memory leaks if I use something like: *mylist=[0.0]*BIGNUMBER* *na=Numeric.array( mylist, Numeric.Float)* -Jose On Fri, Oct 24, 2008 at 1:54 PM, Travis E. Oliphant [EMAIL PROTECTED]wrote: Jose Borreguero wrote: Dear numpy users, I need to pass a Numeric array to some oldie code from a numpy array. I decided to go like this: for i in range(BIGNUMER): my_numpy_array=grabArray(i) na=Numeric.array( my_numpy_array, Numeric.Float) oldie_code(na) The constructor line: na=Numeric.array( my_numpy_array, Numeric.Float) does leak memory. Is there a way to pass the Numeric array to oldie_code without the leaks? This should work without memory leaks, but there may be a bug in NumPy or Numeric. Which version of Numeric and NumPy do you have? -Travis ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion -- Jose M. Borreguero Postdoctoral Associate Oak Ridge National Laboratory P.O. Box 2008, M.S. 6164 Oak Ridge, TN 37831 phone: 865-241-3071 fax: 865-576-5491 Email: [EMAIL PROTECTED] ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] creating a Numeric array from a numpy array LEAKS memory
My bad. Using the intermediate list does *not* leak. Still, the original problems stays. Can anyone run the following code in their machine and see if they have leaks? Maybe it only happens to me :(* import numpy,Numeric big=1000 na=numpy.array([0.0,]) for i in range(big): Na=Numeric.array(na,Numeric.Float)* -Jose On Fri, Oct 24, 2008 at 2:16 PM, Jose Borreguero [EMAIL PROTECTED]wrote: numpy 1.1.0 (from /usr/lib/python2.4/site-packages/numpy/version.py) Numeric 24.2 (from /usr/lib/python2.4/site-packages/Numeric/numeric_version.py) I also tried with an intermediate list, but got the same result: *mylist=list(my_numpy_array) na=Numeric.array( mylist, Numeric.Float)* I don't have memory leaks if I use something like: *mylist=[0.0]*BIGNUMBER* *na=Numeric.array( mylist, Numeric.Float)* -Jose On Fri, Oct 24, 2008 at 1:54 PM, Travis E. Oliphant [EMAIL PROTECTED] wrote: Jose Borreguero wrote: Dear numpy users, I need to pass a Numeric array to some oldie code from a numpy array. I decided to go like this: for i in range(BIGNUMER): my_numpy_array=grabArray(i) na=Numeric.array( my_numpy_array, Numeric.Float) oldie_code(na) The constructor line: na=Numeric.array( my_numpy_array, Numeric.Float) does leak memory. Is there a way to pass the Numeric array to oldie_code without the leaks? This should work without memory leaks, but there may be a bug in NumPy or Numeric. Which version of Numeric and NumPy do you have? -Travis ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion -- Jose M. Borreguero Postdoctoral Associate Oak Ridge National Laboratory P.O. Box 2008, M.S. 6164 Oak Ridge, TN 37831 phone: 865-241-3071 fax: 865-576-5491 Email: [EMAIL PROTECTED] -- Jose M. Borreguero Postdoctoral Associate Oak Ridge National Laboratory P.O. Box 2008, M.S. 6164 Oak Ridge, TN 37831 phone: 865-241-3071 fax: 865-576-5491 Email: [EMAIL PROTECTED] ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] creating a Numeric array from a numpy array LEAKS memory
Fri, 24 Oct 2008 14:39:59 -0400, Jose Borreguero wrote: My bad. Using the intermediate list does *not* leak. Still, the original problems stays. Can anyone run the following code in their machine and see if they have leaks? Maybe it only happens to me :(* import numpy,Numeric big=1000 na=numpy.array([0.0,]) for i in range(big): Na=Numeric.array(na,Numeric.Float)* Yep, leaks also here: (Numeric 24.2, numpy 1.2.0) import sys, numpy, Numeric na = numpy.array([0.0]) for i in xrange(100): foo = Numeric.array(na, Numeric.Float) print sys.getrefcount(na) The getrefcount prints 102, so it seems like there's a refcount error somewhere. But na = numpy.array([0.0]) for i in xrange(100): foo = numpy.array(na, numpy.float_) print sys.getrefcount(na) refcounts correctly. -- Pauli Virtanen ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] creating a Numeric array from a numpy array LEAKS memory
On Fri, Oct 24, 2008 at 7:52 PM, Pauli Virtanen [EMAIL PROTECTED] wrote: Yep, leaks also here: (Numeric 24.2, numpy 1.2.0) import sys, numpy, Numeric na = numpy.array([0.0]) for i in xrange(100): foo = Numeric.array(na, Numeric.Float) print sys.getrefcount(na) The getrefcount prints 102, so it seems like there's a refcount error somewhere. Same leak here using Numeric 24.2 and numpy 1.0.1 on Linux. But na = numpy.array([0.0]) for i in xrange(100): foo = numpy.array(na, numpy.float_) print sys.getrefcount(na) refcounts correctly. Also fine. And for the record using the intermediate list also works for me: import sys, numpy, Numeric na = numpy.array([0.0]) na_list = list(na) for i in xrange(100): foo = Numeric.array(na_list, Numeric.Float) print sys.getrefcount(na) Peter ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
