larroy opened a new issue #10004: [ARM][Jetson] assertion failed in unit test
URL: https://github.com/apache/incubator-mxnet/issues/10004
 
 
   ## Description
   Unit test faillure / assertion triggered in testing forward for 
mobilenetv2_0.25
   
   
   ## Environment info (Required)
   
   ```
   What to do:
   1. Download the diagnosis script from 
https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
   2. Run the script using `python diagnose.py` and paste its output here.
   
   ```
   ----------Python Info----------
   Version      : 3.5.2
   Compiler     : GCC 5.4.0 20160609
   Build        : ('default', 'Nov 23 2017 16:37:01')
   Arch         : ('64bit', 'ELF')
   ------------Pip Info-----------
   Version      : 9.0.1
   Directory    : /home/nvidia/py3/lib/python3.5/site-packages/pip
   ----------MXNet Info-----------
   Version      : 1.2.0
   Directory    : /home/nvidia/py3/lib/python3.5/site-packages/mxnet
   Hashtag not found. Not installed from pre-built package.
   ----------System Info----------
   Platform     : Linux-4.4.38-tegra-aarch64-with-Ubuntu-16.04-xenial
   system       : Linux
   node         : tegra-ubuntu
   release      : 4.4.38-tegra
   version      : #1 SMP PREEMPT Thu Jul 20 00:49:07 PDT 2017
   ----------Hardware Info----------
   machine      : aarch64
   processor    : aarch64
   Architecture:          aarch64
   Byte Order:            Little Endian
   CPU(s):                6
   On-line CPU(s) list:   0,3-5
   Off-line CPU(s) list:  1,2
   Thread(s) per core:    1
   Core(s) per socket:    4
   Socket(s):             1
   Model name:            ARMv8 Processor rev 3 (v8l)
   CPU max MHz:           2035.2000
   CPU min MHz:           345.6000
   L1d cache:             32K
   L1i cache:             48K
   L2 cache:              2048K
   ----------Network Test----------
   Setting timeout: 10
   Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.1431 sec, LOAD: 
0.1740 sec.
   Timing for FashionMNIST: 
https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz,
 DNS: 0.0251 sec, LOAD: 1.0273 sec.
   Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0624 sec, LOAD: 
0.1135 sec.
   Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0186 sec, LOAD: 
0.3011 sec.
   Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0152 
sec, LOAD: 0.9236 sec.
   Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0215 sec, 
LOAD: 0.1044 sec.
   
   ```
   
   ## Build info (Required if built from source)
   
   Cross compiled from dockerfile 
   
   MXNet commit hash:
   40e6d7d37 / f973fe0
   
   Build config:
   
   ## Error Message:
   ```
   testing forward for mobilenetv2_0.5
   testing forward for mobilenetv2_0.25
   
..............E.EEE..E.........../home/nvidia/py3/lib/python3.5/site-packages/mxnet/module/base_module.py:53:
 UserWarning: You created Module with Module(..., 
label_names=['softmax_label']) but input with name 'softmax_label' is not found 
in symbol.list_arguments(). Did you mean one of:
        data
     warnings.warn(msg)
   /home/nvidia/py3/lib/python3.5/site-packages/mxnet/module/base_module.py:65: 
UserWarning: Data provided by label_shapes don't match names specified by 
label_names ([] vs. ['softmax_label'])
     warnings.warn(msg)
   
./home/nvidia/py3/lib/python3.5/site-packages/mxnet/module/base_module.py:53: 
UserWarning: You created Module with Module(..., label_names=['softmax_label']) 
but input with name 'softmax_label' is not found in symbol.list_arguments(). 
Did you mean one of:
        data
        gamma
     warnings.warn(msg)
   ...[12:28:24] /work/mxnet/src/io/iter_mnist.cc:110: MNISTIter: load 60000 
images, shuffle=1, shape=(100,784)
   .E.S.terminate called after throwing an instance of 'dmlc::Error'
     what():  [12:29:18] /work/mxnet/dmlc-core/src/data/././strtonum.h:141: 
Check failed: sign == true (0 vs. 1) 
   
   Stack trace returned 9 entries:
   [bt] (0) 
/home/nvidia/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(dmlc::StackTrace()+0x44)
 [0x7fa1cc6550]
   [bt] (1) 
/home/nvidia/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x34)
 [0x7fa1cc6854]
   [bt] (2) 
/home/nvidia/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(unsigned long 
dmlc::data::strtouint<unsigned long>(char const*, char**, int)+0xec) 
[0x7fa2a50c10]
   [bt] (3) 
/home/nvidia/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(dmlc::data::LibSVMParser<unsigned
 long>::ParseBlock(char*, char*, dmlc::data::RowBlockContainer<unsigned 
long>*)+0x1f8) [0x7fa2a5fcf8]
   [bt] (4) 
/home/nvidia/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(dmlc::data::TextParserBase<unsigned
 long>::FillData(std::vector<dmlc::data::RowBlockContainer<unsigned long>, 
std::allocator<dmlc::data::RowBlockContainer<unsigned long> > >*)+0x160) 
[0x7fa2a633f8]
   [bt] (5) 
/home/nvidia/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(std::_Function_handler<bool
 (std::vector<dmlc::data::RowBlockContainer<unsigned long>, 
std::allocator<dmlc::data::RowBlockContainer<unsigned long> > >**), 
dmlc::data::ThreadedParser<unsigned 
long>::ThreadedParser(dmlc::data::ParserImpl<unsigned 
long>*)::{lambda(std::vector<dmlc::data::RowBlockContainer<unsigned long>, 
std::allocator<dmlc::data::RowBlockContainer<unsigned long> > 
>**)#1}>::_M_invoke(std::_Any_data const&, 
std::vector<dmlc::data::RowBlockContainer<unsigned long>, 
std::allocator<dmlc::data::RowBlockContainer<unsigned long> > >**)+0x30) 
[0x7fa2a4f684]
   [bt] (6) 
/home/nvidia/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(dmlc::ThreadedIter<std::vector<dmlc::data::RowBlockContainer<unsigned
 long>, std::allocator<dmlc::data::RowBlockContainer<unsigned long> > > 
>::Init(std::function<bool (std::vector<dmlc::data::RowBlockContainer<unsigned 
long>, std::allocator<dmlc::data::RowBlockContainer<unsigned long> > >**)>, 
std::function<void ()>)::{lambda()#1}::operator()() const+0x1b8) [0x7fa2a5d1dc]
   [bt] (7) /usr/lib/aarch64-linux-gnu/libstdc++.so.6(+0xb8280) [0x7fa17a5280]
   [bt] (8) /lib/aarch64-linux-gnu/libpthread.so.0(+0x6fc4) [0x7fa958ffc4]
   
   ```
   ## Minimum reproducible example
   Run unit tests
   
   

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