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I am running on an HPC cluster which contains 4 different Intel CPU generations, the oldest of which is Nehalem (which has SSE4.2). Whenever I run `help("modules")` in either the python2 or python3 distribution on our two older architectures (family 6, model 44 and 45), I get an illegal instruction exception and python crashes. It seems to be whenever it is doing the deprecation check on matplotlib. It runs fine on all of our newer (AVX and up, through Haswell) machines. attached is a screenshot of the error occurring and the cpuinfo output for each architecture.
OS is CentOS 7, 3.10.0-229.el7.x86_64 #1 SMP Fri Mar 6 11:36:42 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux
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Hi Michael, thanks for the extended info on the issue you are running into. I've let the engineering team know about it–they are looking into the issue now.
Thanks,
David
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Hi Michael,
I'm trying to reproduce issue you reported. Unfortunately it seems that matplotlib isn't enough in my configurations.
Could you send what 'help("modules")' prints when it finishes successfully.
And if you installed Python with conda's help then send us 'conda list' output too, please.
Denis
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[jschnaitter@ec48 ~]$ python Python 2.7.12 |Intel Corporation| (default, Feb 12 2017, 04:02:31) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)] on linux2 Type "help", "copyright", "credits" or "license" for more information. Intel(R) Distribution for Python is brought to you by Intel Corporation. Please check out: https://software.intel.com/en-us/python-distribution >>> help("modules") Please wait a moment while I gather a list of all available modules... /apps/python/intel-python-2.7/lib/python2.7/site-packages/IPython/kernel/__init__.py:13: ShimWarning: The `IPython.kernel` package has been deprecated. You should import from ipykernel or jupyter_client instead. "You should import from ipykernel or jupyter_client instead.", ShimWarning) /apps/python/intel-python-2.7/lib/python2.7/site-packages/matplotlib/cbook.py:137: MatplotlibDeprecationWarning: The matplotlib.delaunay module was deprecated in version 1.4. Use matplotlib.tri.Triangulation instead. warnings.warn(message, mplDeprecation, stacklevel=1) /apps/python/intel-python-2.7/lib/python2.7/pkgutil.py:110: FutureWarning: The pandas.rpy module is deprecated and will be removed in a future version. We refer to external packages like rpy2. See here for a guide on how to port your code to rpy2: http://pandas.pydata.org/pandas-docs/stable/r_interface.html __import__(name) /apps/python/intel-python-2.7/lib/python2.7/site-packages/skimage/filter/__init__.py:6: skimage_deprecation: The `skimage.filter` module has been renamed to `skimage.filters`. This placeholder module will be removed in v0.13. warn(skimage_deprecation('The `skimage.filter` module has been renamed ' /apps/python/intel-python-2.7/lib/python2.7/site-packages/skimage/viewer/__init__.py:6: UserWarning: Viewer requires Qt warn('Viewer requires Qt') /apps/python/intel-python-2.7/lib/python2.7/site-packages/theano/sandbox/gpuarray/__init__.py:10: UserWarning: theano.sandbox.gpuarray has been moved to theano.gpuarray. Please update your code and pickles. If the warning persists, clear theano's cache ('$theano/bin/theano-cache clear'). warnings.warn(message) BaseHTTPServer cPickle jupyter_client sets Bastion cProfile jupyter_console setuptools CDROM cStringIO jupyter_core sgmllib CGIHTTPServer caffe keyword sha Canvas cairo lib2to3 shelve ConfigParser calendar linecache shlex Cookie cgi linuxaudiodev shutil Cython cgitb llvmlite signal DLFCN chunk locale simplegeneric Dialog cmath logging singledispatch DocXMLRPCServer cmd macpath singledispatch_helpers FileDialog code macurl2path site FixTk codecs mailbox six HTMLParser codeop mailcap skimage IN collections markupbase sklearn IPython colorsys markupsafe smtpd MimeWriter command marshal smtplib PIL commands math sndhdr Queue compileall matplotlib socket ScrolledText compiler md5 spwd SimpleDialog concurrent mhlib sqlite3 SimpleHTTPServer conda mimetools sre SimpleXMLRPCServer conda_env mimetypes sre_compile SocketServer configparser mimify sre_constants StringIO contextlib mistune sre_parse TBB cookielib mmap ssl TYPES copy modulefinder stat Tix copy_reg mpi4py statvfs Tkconstants crypt mpl_toolkits storemagic Tkdnd csv mpmath string Tkinter ctypes multifile stringold UserDict curses multiprocessing stringprep UserList cycler mutex strop UserString cython nbconvert struct _LWPCookieJar cythonmagic nbformat subprocess _MozillaCookieJar daal netrc sunau _TBB datetime networkx sunaudio __builtin__ dateutil new symbol __future__ dbhash nis sympy _abcoll dbm nntplib sympyprinting _ast decimal nose symtable _bisect decorator notebook sys _bsddb difflib ntpath sysconfig _codecs dircache nturl2path syslog _codecs_cn dis numba tables _codecs_hk distarray numbers tabnanny _codecs_iso2022 distutils numexpr tarfile _codecs_jp doctest numpy telnetlib _codecs_kr dumbdbm opcode tempfile _codecs_tw dummy_thread operator terminado _collections dummy_threading optparse termios _csv easy_install os test _ctypes email os2emxpath test_path _ctypes_test encodings ossaudiodev test_pycosat _curses entrypoints pandas tests _curses_panel enum parser textwrap _elementtree errno path theano _functools examples pathlib2 this _hashlib exceptions pdb thread _heapq extern pexpect threading _hotshot fcntl pickle time _io filecmp pickleshare timeit _json fileinput pickletools tkColorChooser _locale fnmatch pip tkCommonDialog _lsprof formatter pipes tkFileDialog _multibytecodec fpformat pkg_resources tkFont _multiprocessing fractions pkgutil tkMessageBox _osx_support ftplib platform tkSimpleDialog _pyio funcsigs plistlib toaiff _random functools popen2 token _socket functools32 poplib tokenize _sqlite3 future_builtins posix tornado _sre gc posixfile trace _ssl gdbm posixpath traceback _strptime genericpath pprint traitlets _struct getopt profile ttk _symtable getpass prompt_toolkit tty _sysconfigdata gettext pstats turtle _testcapi gflags pty types _threading_local glob ptyprocess unicodedata _tkinter grp pwd unittest _vendor gzip py_compile urllib _warnings h5py pyclbr urllib2 _weakref hashlib pycosat urlparse _weakrefset heapq pydoc user _yaml hmac pydoc_data uu abc hotshot pyexpat uuid aifc htmlentitydefs pygments warnings antigravity htmllib pylab wave anydbm httplib pyparsing wcwidth argparse idlelib pytz weakref array ihooks pyximport webbrowser ast imaplib quopri wheel asynchat imghdr random whichdb asyncore imp re widgetsnbextension atexit importlib repr wsgiref audiodev imputil requests xdrlib audioop inspect resource xml autoreload io rexec xmllib backports ipykernel rfc822 xmlrpclib backports_abc ipyparallel rlcompleter xxsubtype base64 ipython_genutils rmagic yaml bdb ipywidgets robotparser zipfile binascii itertools ruamel_yaml zipimport binhex jinja2 runpy zlib bisect json sched zmq bsddb jsonschema scipy bz2 jupyter select Enter any module name to get more help. Or, type "modules spam" to search for modules whose descriptions contain the word "spam".
this is the output when run on our newest machines, with E5-2683v4 chips.
and it was installed from the downloaded archive from the portal, not with conda.
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Any updates on this?
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