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Theano and Sklearn standard tests methods disabled from l_python3_bu_2018.0.008.tgz

sergio_r_
Novice
251 Views

 

Hello folks,

Not sure how this helps to trust the Intel Python distribution,
but the following tests suite were disabled from the Intel Python Distribution for Linux  
[Python 3.5.3 |Intel Corporation| (default, May 18 2017, 22:17:21)]

$ theano-nose --theano  -v

----------------------------------------------------------------------
Ran 0 tests in 0.001s

OK


 

$ nosetests -v sklearn

----------------------------------------------------------------------
Ran 0 tests in 0.002s

OK

Sergio
Enhance your #MachineLearning and #BigData skills via #Python #SciPy
1) https://www.packtpub.com/big-data-and-business-intelligence/numerical-and-scientific-computing-scipy...
2) https://www.packtpub.com/big-data-and-business-intelligence/learning-scipy-numerical-and-scientific-...

3) https://www.researchgate.net/publication/301293668_Aprendiendo_a_Programar_en_Python_con_mi_Computad...

 

 

 

0 Kudos
3 Replies
Rohit_J_Intel
Employee
251 Views

Sergio,

We test scikit-learn and theano using following commands respectively:
1. <Intel-Distribution-for-Python_installation>/bin/python -c "import nose; nose.main()" -v sklearn
2. <Intel-Distribution-for-Python_installation>/bin/python -c "import theano; theano.test()"

Thanks,
Rohit

sergio_r_
Novice
251 Views

Rohit J. (Intel) wrote:

Sergio,

We test scikit-learn and theano using following commands respectively:
1. <Intel-Distribution-for-Python_installation>/bin/python -c "import nose; nose.main()" -v sklearn
2. <Intel-Distribution-for-Python_installation>/bin/python -c "import theano; theano.test()"

Thanks,
Rohit

 

Hi Rohit,

Thanks for your reply.

The first (testing sklearn) command did not work:

$ python -c "import nose; nose.main()" -v sklearn

----------------------------------------------------------------------
Ran 0 tests in 0.002s

OK

The second one (testing theano) ended with and error. The output is below. Hope someone knows how to overcome it.

Regards,

Sergio
Enhance your #MachineLearning and #BigData skills via #Python #SciPy
1) https://www.packtpub.com/big-data-and-business-intelligence/numerical-and-scientific-computing-scipy...
2) https://www.packtpub.com/big-data-and-business-intelligence/learning-scipy-numerical-and-scientific-...
3) FREE (beginner) PYTHON book in Spanish:
   https://www.researchgate.net/publication/301293668_Aprendiendo_a_Programar_en_Python_con_mi_Computad...

$ python -c "import theano; theano.test()"

icpc version 18.0.0 Beta (gcc version 4.8.0 compatibility)
Theano version 0.9.0dev2.dev-00216eff7fa927ba26c0629697e22fbd2d708e5c
theano is installed in /home/intel2018py/intelpython3/lib/python3.5/site-
packages/theano
NumPy version 1.12.1
NumPy relaxed strides checking option: True
NumPy is installed in /home/intel2018py/intelpython3/lib/python3.5/site-p
ackages/numpy
Python version 3.5.3 |Intel Corporation| (default, May 18 2017, 22:17:21) [GCC 4
.8.2 20140120 (Red Hat 4.8.2-15)]
nose version 1.3.7
/home/intel2018py/intelpython3/lib/python3.5/site-packages/theano/misc/py
cuda_init.py:35: UserWarning: PyCUDA import failed in theano.misc.pycuda_init
  warnings.warn("PyCUDA import failed in theano.misc.pycuda_init")
/home/intel2018py/intelpython3/lib/python3.5/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').
...
...
...
............./home/intel2018py/intelpython3/lib/python3.5/site-packages/scipy/sparse/compressed.py:774: SparseEfficiencyWarning: Changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient.
  SparseEfficiencyWarning)
/home/intel2018py/intelpython3/lib/python3.5/site-packages/scipy/sparse/compressed.py:774: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
  SparseEfficiencyWarning)
...S....................................Error in file [/home/.theano/compiledir_Linux-3.13--generic-x86_64-with-debian-jessie-sid-x86_64-3.5.3-64/tmp4hdl47fr/mod.cpp:750], err code (-1)

 

Christophe_H_Intel2
251 Views

Sergio,

Can you try running the theano tests with the following command and post the output?

theano-nose --theano -v --exe

The tests require the "nose_parameterized" module as well

conda install nose-parameterized

Thanks,

Chris

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