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From GitBox <...@apache.org>
Subject [GitHub] [incubator-mxnet] zhanghang1989 opened a new issue #16956: Error Running GluonCV Transfer Learning Tutorial on Mac OSX
Date Sun, 01 Dec 2019 20:27:15 GMT
zhanghang1989 opened a new issue #16956: Error Running GluonCV Transfer Learning Tutorial on
Mac OSX
URL: https://github.com/apache/incubator-mxnet/issues/16956
 
 
   ## Description
   
   Error Running GluonCV Transfer Learning Tutorial on Mac OSX.
   https://gluon-cv.mxnet.io/build/examples_classification/transfer_learning_minc.html
   
   ### Error Message
   (Paste the complete error message, including stack trace.)
   ```
   Segmentation fault: 11
   
   Stack trace:
     [bt] (0) 1   libmxnet.so                         0x000000011b29a2b0 mxnet::Storage::Get()
+ 4880
     [bt] (1) 2   libsystem_platform.dylib            0x00007fff70db4f5a _sigtramp + 26
     [bt] (2) 3   ???                                 0x0000000100007ffe 0x0 + 4295000062
     [bt] (3) 4   libmxnet.so                         0x000000011b5d5751 mxnet::Storage::Get()
+ 3393457
     [bt] (4) 5   libmxnet.so                         0x000000011b472dd5 mxnet::Storage::Get()
+ 1941045
     [bt] (5) 6   libmxnet.so                         0x000000011b473dba mxnet::Storage::Get()
+ 1945114
     [bt] (6) 7   libmxnet.so                         0x000000011b45a99f mxnet::Storage::Get()
+ 1841663
     [bt] (7) 8   libmxnet.so                         0x000000011abfae61 mxnet::io::ImdecodeImpl(int,
bool, void*, unsigned long, mxnet::NDArray*) + 3073
     [bt] (8) 9   libmxnet.so                         0x000000011ab586c7 std::__1::enable_if<(__is_forward_iterator<mxnet::NDArray**>::value)
&& (is_constructible<mxnet::NDArray*, std::__1::iterator_traits<mxnet::NDArray**>::reference>::value),
void>::type std::__1::vector<mxnet::NDArray*, std::__1::allocator<mxnet::NDArray*>
>::assign<mxnet::NDArray**>(mxnet::NDArray**, mxnet::NDArray**) + 30295
   
   Segmentation fault: 11
   
   Stack trace:
     [bt] (0) 1   libmxnet.so                         0x000000011b29a2b0 mxnet::Storage::Get()
+ 4880
     [bt] (1) 2   libsystem_platform.dylib            0x00007fff70db4f5a _sigtramp + 26
     [bt] (2) 3   ???                                 0x00000ff200000ff1 0x0 + 17532056506353
     [bt] (3) 4   libmxnet.so                         0x000000011b5d5751 mxnet::Storage::Get()
+ 3393457
     [bt] (4) 5   libmxnet.so                         0x000000011b472dd5 mxnet::Storage::Get()
+ 1941045
     [bt] (5) 6   libmxnet.so                         0x000000011b473dba mxnet::Storage::Get()
+ 1945114
     [bt] (6) 7   libmxnet.so                         0x000000011b45a99f mxnet::Storage::Get()
+ 1841663
     [bt] (7) 8   libmxnet.so                         0x000000011abfae61 mxnet::io::ImdecodeImpl(int,
bool, void*, unsigned long, mxnet::NDArray*) + 3073
     [bt] (8) 9   libmxnet.so                         0x000000011ab586c7 std::__1::enable_if<(__is_forward_iterator<mxnet::NDArray**>::value)
&& (is_constructible<mxnet::NDArray*, std::__1::iterator_traits<mxnet::NDArray**>::reference>::value),
void>::type std::__1::vector<mxnet::NDArray*, std::__1::allocator<mxnet::NDArray*>
>::assign<mxnet::NDArray**>(mxnet::NDArray**, mxnet::NDArray**) + 30295
   libc++abi.dylib: terminating
   
   Segmentation fault: 11
   ```
   ## To Reproduce
   (If you developed your own code, please provide a short script that reproduces the error.
For existing examples, please provide link.)
   
   ### Steps to reproduce
   (Paste the commands you ran that produced the error.)
   
   1. install gluoncv ``pip install gluoncv``
   2. Run the tutorial https://gluon-cv.mxnet.io/build/examples_classification/transfer_learning_minc.html
   
   ## What have you tried to solve it?
   
   1. Different MXNet Versions
   2.
   
   ## Environment
   
   We recommend using our script for collecting the diagnositc information. Run the following
command and paste the outputs below:
   
   ```
   curl --retry 10 -s https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py
| python
   
   # paste outputs here
   ----------Python Info----------
   Version      : 3.7.5
   Compiler     : Clang 4.0.1 (tags/RELEASE_401/final)
   Build        : ('default', 'Oct 25 2019 10:52:18')
   Arch         : ('64bit', '')
   ------------Pip Info-----------
   Version      : 19.3.1
   Directory    : /Users/hzaws/anaconda3/envs/autogluon/lib/python3.7/site-packages/pip
   ----------MXNet Info-----------
   No MXNet installed.
   ----------System Info----------
   Platform     : Darwin-17.7.0-x86_64-i386-64bit
   system       : Darwin
   node         : 88e9fe5636b1.ant.amazon.com
   release      : 17.7.0
   version      : Darwin Kernel Version 17.7.0: Fri Oct  4 23:08:59 PDT 2019; root:xnu-4570.71.57~1/RELEASE_X86_64
   ----------Hardware Info----------
   machine      : x86_64
   processor    : i386
   b'machdep.cpu.brand_string: Intel(R) Core(TM) i7-7660U CPU @ 2.50GHz'
   b'machdep.cpu.features: FPU VME DE PSE TSC MSR PAE MCE CX8 APIC SEP MTRR PGE MCA CMOV PAT
PSE36 CLFSH DS ACPI MMX FXSR SSE SSE2 SS HTT TM PBE SSE3 PCLMULQDQ DTES64 MON DSCPL VMX SMX
EST TM2 SSSE3 FMA CX16 TPR PDCM SSE4.1 SSE4.2 x2APIC MOVBE POPCNT AES PCID XSAVE OSXSAVE SEGLIM64
TSCTMR AVX1.0 RDRAND F16C'
   b'machdep.cpu.leaf7_features: RDWRFSGS TSC_THREAD_OFFSET SGX BMI1 HLE AVX2 SMEP BMI2 ERMS
INVPCID RTM FPU_CSDS MPX RDSEED ADX SMAP CLFSOPT IPT MD_CLEAR TSXFA IBRS STIBP L1DF SSBD'
   b'machdep.cpu.extfeatures: SYSCALL XD 1GBPAGE EM64T LAHF LZCNT PREFETCHW RDTSCP TSCI'
   ----------Network Test----------
   Setting timeout: 10
   Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0389 sec, LOAD: 0.5897
sec.
   Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0007 sec, LOAD: 0.7131
sec.
   Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.1167 sec, LOAD: 0.0557 sec.
   Timing for D2L: http://d2l.ai, DNS: 0.0703 sec, LOAD: 0.1504 sec.
   Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0382 sec, LOAD: 0.0984 sec.
   Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz,
DNS: 0.0681 sec, LOAD: 0.2286 sec.
   Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0359 sec, LOAD: 0.5464 sec.
   Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0645 sec, LOAD: 0.1150 sec.
   ```
   

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