sl1pkn07 opened a new issue #17833: Unittest failed: ThreadSafety.CachedOpFullModel URL: https://github.com/apache/incubator-mxnet/issues/17833 ## Description Fail pass unitest ThreadSafety.CachedOpFullModel ### Error Message (Paste the complete error message. Please also include stack trace by setting environment variable `DMLC_LOG_STACK_TRACE_DEPTH=10` before running your script.) <details> ~~~ 1: [ RUN ] ThreadSafety.CachedOpFullModel 1: [18:04:39] /tmp/makepkg/sl1-mxnet-git/src/incubator-mxnet/tests/cpp/thread_safety/thread_safety_test.cc:175: Running inference for imagenet1k-resnet-18 num_threads: 20 num_inf_per_thread: 1 random_sleep: 1 static_alloc: 0 static_shape: 0 1: unknown file: Failure 1: C++ exception with description "[18:04:39] /tmp/makepkg/sl1-mxnet-git/src/incubator-mxnet/tests/../cpp-package/include/mxnet-cpp/symbol.hpp:102: Check failed: (MXSymbolCreateFromFile(file_name.c_str(), &(handle))) == (0) 1: 1: " thrown in the test body. 1: [ FAILED ] ThreadSafety.CachedOpFullModel (2 ms) 1: [----------] 2 tests from ThreadSafety (161 ms total) 1: 1: [----------] Global test environment tear-down 1: [==========] 102 tests from 21 test cases ran. (774184 ms total) 1: [ PASSED ] 101 tests. 1: [ FAILED ] 1 test, listed below: 1: [ FAILED ] ThreadSafety.CachedOpFullModel 1: 1: 1 FAILED TEST 1: YOU HAVE 1 DISABLED TEST 1: 1: 1/1 Test #1: AllTestsInmxnetUnitTests .........***Failed 775.58 sec 0% tests passed, 1 tests failed out of 1 Total Test time (real) = 775.59 sec The following tests FAILED: 1 - AllTestsInmxnetUnitTests (Failed) Errors while running CTest ~~~ </details> ## 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.) ~~~ mkdir -p build cd build cmake ../incubator-mxnet \ -DCMAKE_BUILD_TYPE=None \ -DCMAKE_INSTALL_PREFIX=/usr \ -DCMAKE_INSTALL_LIBDIR=lib \ -DCMAKE_INSTALL_DOCDIR=share/doc/mxnet \ -DENABLE_CUDA_RTC=ON \ -DBUILD_CPP_EXAMPLES=OFF \ -DUSE_CCACHE=OFF \ -DUSE_CPP_PACKAGE=ON \ -DUSE_CUDNN=ON \ -DUSE_NCCL=ON \ -DUSE_OPENCV=ON \ -DUSE_OPENMP=ON \ -DUSE_MKL_IF_AVAILABLE=OFF \ -DUSE_MKLDNN=OFF \ -DUSE_LAPACK=ON \ -DUSE_LIBJPEG_TURBO=ON \ -DUSE_JEMALLOC=OFF \ -DUSE_GPERFTOOLS=OFF \ -DUSE_DIST_KVSTORE=OFF \ -DNCCL_ROOT=/usr \ -DCUDA_USE_STATIC_CUDA_RUNTIME=OFF \ -DCUDA_HOST_COMPILER=/opt/cuda/bin/gcc \ -DCMAKE_CUDA_FLAGS=--expt-relaxed-constexpr \ -DCMAKE_C_COMPILER=/usr/bin/cc-8 \ -DCMAKE_C_COMPILER_AR=/usr/bin/gcc-ar-8 \ -DCMAKE_C_COMPILER_RANLIB=/usr/bin/gcc-ranlib-8 \ -DCMAKE_CXX_COMPILER=/usr/bin/c++-8 \ -DCMAKE_CXX_COMPILER_AR=/usr/bin/gcc-ar-8 \ -DCMAKE_CXX_COMPILER_RANLIB=/usr/bin/gcc-ranlib-8 LC_ALL=C make # VERBOSE=1 cd tests MXNET_LIBRARY_PATH="$(pwd)/../build/libmxnet.so" GTEST_COLOR=1 ctest --verbose ~~~ ## Environment Archlinux Linux sL1pKn07 5.5.4-arch1-1 #1 SMP PREEMPT Sat, 15 Feb 2020 00:36:29 +0000 x86_64 GNU/Linux MXnet from git (master) Cuda 10.2 GCC 8.4.0 Nvidia 2060RTX OpenCV 4.2.0 (builded with CUDA support) We recommend using our script for collecting the diagnositc information. Run the following command and paste the outputs below: <details> ~~~ ----------Python Info---------- Version : 3.8.2 Compiler : GCC 9.2.1 20200130 Build : ('default', 'Feb 26 2020 22:21:03') Arch : ('64bit', 'ELF') ------------Pip Info----------- Version : 20.0.2 Directory : /usr/lib/python3.8/site-packages/pip ----------MXNet Info----------- Version : 2.0.0 Directory : /usr/lib/python3.8/site-packages/mxnet Num GPUs : 1 Hashtag not found. Not installed from pre-built package. ----------System Info---------- Platform : Linux-5.5.4-arch1-1-x86_64-with-glibc2.2.5 system : Linux node : sL1pKn07 release : 5.5.4-arch1-1 version : #1 SMP PREEMPT Sat, 15 Feb 2020 00:36:29 +0000 ----------Hardware Info---------- machine : x86_64 processor : Arquitectura: x86_64 modo(s) de operación de las CPUs: 32-bit, 64-bit Orden de los bytes: Little Endian Tamaños de las direcciones: 46 bits physical, 48 bits virtual CPU(s): 48 Lista de la(s) CPU(s) en línea: 0-47 Hilo(s) de procesamiento por núcleo: 2 Núcleo(s) por «socket»: 12 «Socket(s)» 2 Modo(s) NUMA: 2 ID de fabricante: GenuineIntel Familia de CPU: 6 Modelo: 79 Nombre del modelo: Genuine Intel(R) CPU 0000 @ 2.20GHz Revisión: 0 CPU MHz: 2195.314 CPU MHz máx.: 2200,0000 CPU MHz mín.: 1200,0000 BogoMIPS: 4392.60 Virtualización: VT-x Caché L1d: 768 KiB Caché L1i: 768 KiB Caché L2: 6 MiB Caché L3: 60 MiB CPU(s) del nodo NUMA 0: 0-11,24-35 CPU(s) del nodo NUMA 1: 12-23,36-47 ---secret ;)--- Indicadores: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 ds_cpl vmx smx est t m2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 e rms invpcid rtm cqm rdt_a rdseed adx smap intel_pt xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm arat pln pts ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0165 sec, LOAD: 0.7566 sec. Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0177 sec, LOAD: 0.6921 sec. Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.1040 sec, LOAD: 0.7131 sec. Timing for D2L: http://d2l.ai, DNS: 0.0366 sec, LOAD: 0.4594 sec. Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0356 sec, LOAD: 0.3307 sec. Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.1042 sec, LOAD: 0.7952 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0169 sec, LOAD: 0.6182 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0204 sec, LOAD: 0.2750 sec. ~~~ </details>
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