Sender: LSF System <lsfadmin@eu-g1-020-2>
Subject: Job 166889268: <python /cluster/home/mplomecka/dl-project/main.py> in cluster <euler> Exited

Job <python /cluster/home/mplomecka/dl-project/main.py> was submitted from host <eu-login-16> by user <mplomecka> in cluster <euler> at Wed Mar 24 09:23:07 2021
Job was executed on host(s) <15*eu-g1-020-2>, in queue <bigmem.24h>, as user <mplomecka> in cluster <euler> at Wed Mar 24 09:23:13 2021
</cluster/home/mplomecka> was used as the home directory.
</cluster/home/mplomecka/dl-project> was used as the working directory.
Started at Wed Mar 24 09:23:13 2021
Terminated at Wed Mar 24 12:01:46 2021
Results reported at Wed Mar 24 12:01:46 2021

Your job looked like:

------------------------------------------------------------
# LSBATCH: User input
python /cluster/home/mplomecka/dl-project/main.py
------------------------------------------------------------

Exited with exit code 1.

Resource usage summary:

    CPU time :                                   9496.02 sec.
    Max Memory :                                 85092 MB
    Average Memory :                             83600.53 MB
    Total Requested Memory :                     120000.00 MB
    Delta Memory :                               34908.00 MB
    Max Swap :                                   -
    Max Processes :                              3
    Max Threads :                                4
    Run time :                                   9526 sec.
    Turnaround time :                            9519 sec.

The output (if any) follows:

2021-03-24 09:23:16.263690: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
(36223, 500, 129)
(36223, 1)
Fitting 2 folds for each of 5 candidates, totalling 10 fits
[CV] C=1 .............................................................
[CV] ................................. C=1, score=0.699, total=16.2min
[CV] C=1 .............................................................
[CV] ................................. C=1, score=0.697, total=16.6min
[CV] C=10 ............................................................
[CV] ................................ C=10, score=0.699, total=16.5min
[CV] C=10 ............................................................
[CV] ................................ C=10, score=0.697, total=16.1min
[CV] C=100 ...........................................................
[CV] ............................... C=100, score=0.699, total=14.7min
[CV] C=100 ...........................................................
[CV] ............................... C=100, score=0.697, total=14.4min
[CV] C=1000 ..........................................................
[CV] .............................. C=1000, score=0.699, total=14.8min
[CV] C=1000 ..........................................................
[CV] .............................. C=1000, score=0.697, total=14.8min
[CV] C=10000 .........................................................
[CV] ............................. C=10000, score=0.699, total=15.8min
[CV] C=10000 .........................................................
[CV] ............................. C=10000, score=0.697, total=15.4min
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/svm/_base.py:976: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  warnings.warn("Liblinear failed to converge, increase "
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed: 16.2min remaining:    0.0s
/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/svm/_base.py:976: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  warnings.warn("Liblinear failed to converge, increase "
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed: 32.8min remaining:    0.0s
/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/svm/_base.py:976: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  warnings.warn("Liblinear failed to converge, increase "
/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/svm/_base.py:976: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  warnings.warn("Liblinear failed to converge, increase "
/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/svm/_base.py:976: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  warnings.warn("Liblinear failed to converge, increase "
/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/svm/_base.py:976: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  warnings.warn("Liblinear failed to converge, increase "
/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/svm/_base.py:976: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  warnings.warn("Liblinear failed to converge, increase "
/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/svm/_base.py:976: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  warnings.warn("Liblinear failed to converge, increase "
/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/svm/_base.py:976: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  warnings.warn("Liblinear failed to converge, increase "
/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/svm/_base.py:976: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  warnings.warn("Liblinear failed to converge, increase "
[Parallel(n_jobs=1)]: Done  10 out of  10 | elapsed: 155.5min finished
Traceback (most recent call last):
  File "/cluster/home/mplomecka/dl-project/main.py", line 65, in <module>
    main()
  File "/cluster/home/mplomecka/dl-project/main.py", line 53, in main
    cross_validate_SVC(trainX, trainY)
  File "/cluster/home/mplomecka/dl-project/SimpleClassifiers/sklearnclassifier.py", line 37, in cross_validate_SVC
    cross_validate(classifier=classifier, parameters=parameters_SVC, X=X, y=y)
  File "/cluster/home/mplomecka/dl-project/SimpleClassifiers/sklearnclassifier.py", line 48, in cross_validate
    clf.fit(X, y.ravel())
  File "/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/utils/validation.py", line 72, in inner_f
    return f(**kwargs)
  File "/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/model_selection/_search.py", line 765, in fit
    self.best_estimator_.fit(X, y, **fit_params)
  File "/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/svm/_classes.py", line 233, in fit
    self.coef_, self.intercept_, self.n_iter_ = _fit_liblinear(
  File "/cluster/apps/nss/gcc-6.3.0/python/3.8.5/x86_64/lib64/python3.8/site-packages/sklearn/svm/_base.py", line 966, in _fit_liblinear
    raw_coef_, n_iter_ = liblinear.train_wrap(
  File "sklearn/svm/_liblinear.pyx", line 39, in sklearn.svm._liblinear.train_wrap
OverflowError: value too large to convert to npy_int32