perdasilva opened a new issue #14675: [MKL-DNN] Test failure in Python 2
URL: https://github.com/apache/incubator-mxnet/issues/14675
 
 
    ## Description
   
   MKL-DNN test failing in Python 2
   
   ```
   ======================================================================
   ERROR: test_mkldnn.test_mkldnn_engine_threading
   ----------------------------------------------------------------------
   Traceback (most recent call last):
     File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in 
runTest
       self.test(*self.arg)
     File "/incubator-mxnet/tests/python/mkl/test_mkldnn.py", line 98, in 
test_mkldnn_engine_threading
       assert_almost_equal(y[0, 0, 0, 0], 0.016711406)
     File "/usr/local/lib/python2.7/dist-packages/mxnet/test_utils.py", line 
493, in assert_almost_equal
       % (rel, rtol, atol, str(index), a[index], b[index]),
   TypeError: 'float' object has no attribute '__getitem__'
   
   ----------------------------------------------------------------------
   Ran 1 test in 0.115s
   ```
   ## To reproduce
   
   $ docker run -ti ubuntu:16.04 /bin/bash
   Then in the container,
   
   $ apt update && apt install -y python python-pip git
   $ pip install mxnet-mkl==1.5.0b20190410 nose
   $ git clone https://github.com/apache/incubator-mxnet.git
   $ nosetests 
incubator-mxnet/tests/python/mkl/test_mkldnn.py:test_mkldnn_engine_threading
   
   ## Environment info (Required)
   
   ```
   ----------Python Info----------
   ('Version      :', '2.7.12')
   ('Compiler     :', 'GCC 5.4.0 20160609')
   ('Build        :', ('default', 'Nov 12 2018 14:36:49'))
   ('Arch         :', ('64bit', 'ELF'))
   ------------Pip Info-----------
   ('Version      :', '8.1.1')
   ('Directory    :', '/usr/lib/python2.7/dist-packages/pip')
   ----------MXNet Info-----------
   ('Version      :', '1.5.0')
   ('Directory    :', '/usr/local/lib/python2.7/dist-packages/mxnet')
   ('Commit Hash   :', 'b68f18c97d08193cded0630a2e0a04673e4a0410')
   ----------System Info----------
   ('Platform     :', 'Linux-4.9.125-linuxkit-x86_64-with-Ubuntu-16.04-xenial')
   ('system       :', 'Linux')
   ('node         :', '17247cd9de80')
   ('release      :', '4.9.125-linuxkit')
   ('version      :', '#1 SMP Fri Sep 7 08:20:28 UTC 2018')
   ----------Hardware Info----------
   ('machine      :', 'x86_64')
   ('processor    :', 'x86_64')
   Architecture:          x86_64
   CPU op-mode(s):        32-bit, 64-bit
   Byte Order:            Little Endian
   CPU(s):                2
   On-line CPU(s) list:   0,1
   Thread(s) per core:    1
   Core(s) per socket:    1
   Socket(s):             2
   Vendor ID:             GenuineIntel
   CPU family:            6
   Model:                 142
   Model name:            Intel(R) Core(TM) i7-7660U CPU @ 2.50GHz
   Stepping:              9
   CPU MHz:               2500.000
   BogoMIPS:              4768.85
   Hypervisor vendor:     vertical
   Virtualization type:   full
   L1d cache:             32K
   L1i cache:             32K
   L2 cache:              256K
   L3 cache:              4096K
   Flags:                 fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge 
mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht pbe syscall nx pdpe1gb lm 
constant_tsc rep_good nopl xtopology nonstop_tsc pni pclmulqdq dtes64 ds_cpl 
ssse3 sdbg fma cx16 xtpr pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c 
rdrand hypervisor lahf_lm abm 3dnowprefetch kaiser fsgsbase bmi1 hle avx2 bmi2 
erms rtm xsaveopt arat
   ----------Network Test----------
   Setting timeout: 10
   Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0536 
sec, LOAD: 1.2237 sec.
   Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0585 sec, LOAD: 
0.8487 sec.
   Timing for FashionMNIST: 
https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz,
 DNS: 0.0762 sec, LOAD: 1.2741 sec.
   Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0505 sec, 
LOAD: 0.2754 sec.
   Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0796 sec, LOAD: 
1.0294 sec.
   Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.0741 sec, LOAD: 
0.9458 sec.
   ```
   

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