hi, extremely sorry for inconvenience caused. i will check with my system. 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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