[Numpy-discussion] numpy with nose
Thu Nov 3 13:25:22 CDT 2011
On Thu, Nov 3, 2011 at 11:54 PM, akshar bhosale <email@example.com>wrote:
> 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 <firstname.lastname@example.org> 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?
>> 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.
>> NumPy-Discussion mailing list
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the NumPy-Discussion