[pymvpa] Searchlight hyperalignment crashes: "featuresBus error"
Michael Bannert
mbannert at tuebingen.mpg.de
Thu Oct 5 11:39:56 UTC 2017
Dear Swaroop, dear PyMVPA users,
I'm running a couple of searchlight hyperalignments but some of them
crash. The error message is "featuresBus error". What does this mean?
What could be causing this error?
Thanks and best,
Michael
PS: Here is the output of wtf()
Current date: 2017-10-05 13:35
PyMVPA:
Version: 2.6.0
Hash: $Format:%H$
Path:
/path/to/user/home/anaconda2/lib/python2.7/site-packages/mvpa2/__init__.pyc
Version control (GIT):
GIT information could not be obtained due
"/path/to/user/home/anaconda2/lib/python2.7/site-packages/mvpa2/.. is
not under GIT"
SYSTEM:
OS: posix Linux 3.10.0-514.10.2.el7.x86_64 #1 SMP Fri Mar 3
00:04:05 UTC 2017
Distribution: centos/7.2.1511/Core
EXTERNALS:
Present: cPickle, ctypes, good
scipy.stats.rv_continuous._reduce_func(floc,fscale), good
scipy.stats.rv_discrete.ppf, griddata, gzip, h5py, hdf5, ipython,
libsvm, libsvm verbosity control, lxml, matplotlib, mdp, mdp ge 2.4,
nibabel, nose, numpy, numpy_correct_unique, pprocess, pylab, pylab
plottable, pywt, pywt wp reconstruct, running ipython env, scipy,
scipy.weave, skl, statsmodels
Absent: afni-3dinfo, atlas_fsl, atlas_pymvpa, cran-energy,
datalad, elasticnet, glmnet, good scipy.stats.rdist, hcluster, joblib,
lars, liblapack.so, mass, mock, nipy, nipy.neurospin, numpydoc, openopt,
pywt wp reconstruct fixed, reportlab, rpy2, sg ge 0.6.4, sg ge 0.6.5,
sg_fixedcachesize, shogun, shogun.krr, shogun.lightsvm, shogun.mpd,
shogun.svmocas, shogun.svrlight, weave
Versions of critical externals:
ctypes : 1.1.0
h5py : 2.7.0
hdf5 : 1.8.17
ipython : 4.0.0
lxml : 3.6.0
matplotlib : 1.5.1
mdp : 3.5
nibabel : 2.1.0
numpy : 1.11.0
pprocess : 0.5.1
pywt : 0.5.2
scipy : 0.17.0
skl : 0.17.1
Matplotlib backend: Qt4Agg
RUNTIME:
PyMVPA Environment Variables:
PyMVPA Runtime Configuration:
[general]
verbose = 1
[externals]
have running ipython env = yes
have ipython = yes
have numpy = yes
have scipy = yes
have matplotlib = yes
have h5py = yes
have reportlab = no
have weave = no
have scipy.weave = yes
have nibabel = yes
have good scipy.stats.rdist = no
have good scipy.stats.rv_discrete.ppf = yes
have good scipy.stats.rv_continuous._reduce_func(floc,fscale) = yes
have pylab = yes
have lars = no
have elasticnet = no
have glmnet = no
have skl = yes
have ctypes = yes
have libsvm = yes
have shogun = no
have joblib = no
have openopt = no
have mdp = yes
have mdp ge 2.4 = yes
have nipy = no
have statsmodels = yes
have cran-energy = no
have pywt = yes
have griddata = yes
have nipy.neurospin = no
have lxml = yes
have afni-3dinfo = no
have atlas_fsl = no
have atlas_pymvpa = no
have cpickle = yes
have datalad = no
have gzip = yes
have hcluster = no
have hdf5 = yes
have liblapack.so = no
have libsvm verbosity control = yes
have mass = no
have mock = no
have nose = yes
have numpy_correct_unique = yes
have numpydoc = no
have pprocess = yes
have pylab plottable = yes
have pywt wp reconstruct = yes
have pywt wp reconstruct fixed = no
have rpy2 = no
have sg ge 0.6.4 = no
have sg ge 0.6.5 = no
have sg_fixedcachesize = no
have shogun.krr = no
have shogun.lightsvm = no
have shogun.mpd = no
have shogun.svmocas = no
have shogun.svrlight = no
Process Information:
Name: ipython
State: R (running)
Tgid: 24326
Ngid: 0
Pid: 24326
PPid: 24284
TracerPid: 0
Uid: 5337 5337 5337 5337
Gid: 3913 3913 3913 3913
FDSize: 256
Groups: 1011 3913
VmPeak: 1201456 kB
VmSize: 1200436 kB
VmLck: 0 kB
VmPin: 0 kB
VmHWM: 198808 kB
VmRSS: 198808 kB
RssAnon: 163260 kB
RssFile: 35548 kB
RssShmem: 0 kB
VmData: 296376 kB
VmStk: 156 kB
VmExe: 4 kB
VmLib: 180776 kB
VmPTE: 1792 kB
VmSwap: 0 kB
Threads: 10
SigQ: 0/257324
SigPnd: 0000000000000000
ShdPnd: 0000000000000000
SigBlk: 0000000000000000
SigIgn: 0000000001001000
SigCgt: 0000000180010002
CapInh: 0000000000000000
CapPrm: 0000000000000000
CapEff: 0000000000000000
CapBnd: 0000001fffffffff
CapAmb: 0000000000000000
Seccomp: 0
Cpus_allowed: ffffff
Cpus_allowed_list: 0-23
Mems_allowed:
00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000000,00000003
Mems_allowed_list: 0-1
voluntary_ctxt_switches: 9758
nonvoluntary_ctxt_switches: 1601
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