On Thu, Nov 3, 2011 at 11:54 PM, akshar bhosale <[email protected]>wrote:
> hi, > extremely sorry for inconvenience caused. i will check with my system as > directed. thank you for help. > > On Thu, Nov 3, 2011 at 7:12 PM, Bruce Southey <[email protected]> wrote: > >> On 11/03/2011 04:27 AM, akshar bhosale wrote: >> > Hi, >> > i am using mkl 10.1, intel cluster toolkit 11/069, os rhel 5.2 x86_64, >> > python 2.6, processor is intel xeon >> > >> > numpy version is 1.6.0 >> > >> > my numpy.test hanging at below point : >> > Test whether equivalent subarray dtypes hash the same. ... ok >> > Test whether different subarray dtypes hash differently. ... ok >> > Test some data types that are equal ... ok >> > Test some more complicated cases that shouldn't be equal ... ok >> > Test some simple cases that shouldn't be equal ... ok >> > test_single_subarray (test_dtype.TestSubarray) ... ok >> > test_einsum_errors (test_einsum.TestEinSum) ... ok >> > test_einsum_sums_cfloat128 (test_einsum.TestEinSum) ... >> > >> > any pointers for this? >> YES >> Stop repeating the exact same problem in different threads and answer >> the previous questions! >> For example, how much of the 'test_einsum_sums_cfloat128' test is >> completed before it hangs? >> >> Really there is something unusual about your setup so you need to start >> at the basics because you appear to be the only one that has this problem. >> >> Clear out ALL previous installations including personal and system ones >> and any build directories. >> >> 1) Build and test numpy without any numerical libraries including the >> Intel ones (do not know that) such as: >> $ BLAS=None LAPACK=None ATLAS=None python setup.py build >> >> 2) Build and test numpy without the intel cluster toolkit but with MKL >> after removing all previous installations and build directories. >> >> 3) Build and test numpy with the intel cluster toolkit removing all >> previous installations and build directories. >> >> Bruce >> _______________________________________________ >> NumPy-Discussion mailing list >> [email protected] >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> > >
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