RomanSteinberg edited a comment on issue #16134: Incorrect subtraction URL: https://github.com/apache/incubator-mxnet/issues/16134#issuecomment-530268559 There are 2 computers with GPU and 2 without. All have linux installed and python works in virtual environments. For simplification, I will consider only two computers which have GPU on-board. Computer `deploy` has a problem and I provided info about it below. My computer (`roman`) environment is as follows: ----------Python Info---------- Version : 3.6.8 Compiler : GCC 8.0.1 20180414 (experimental) [trunk revision 259383 Build : ('default', 'Jan 14 2019 11:02:34') Arch : ('64bit', 'ELF') ------------Pip Info----------- Version : 9.0.1 Directory : /home/deploy/insightface/venv/lib/python3.6/site-packages/pip ----------MXNet Info----------- Version : 1.5.0 Directory : /home/deploy/insightface/venv/lib/python3.6/site-packages/mxnet Commit Hash : 75a9e187d00a8b7ebc71412a02ed0e3ae489d91f Library : ['/home/deploy/insightface/venv/lib/python3.6/site-packages/mxnet/libmxnet.so'] Build features: ✔ CUDA ✔ CUDNN ✔ NCCL ✔ CUDA_RTC ✖ TENSORRT ✔ CPU_SSE ✔ CPU_SSE2 ✔ CPU_SSE3 ✔ CPU_SSE4_1 ✔ CPU_SSE4_2 ✖ CPU_SSE4A ✔ CPU_AVX ✖ CPU_AVX2 ✖ OPENMP ✖ SSE ✔ F16C ✖ JEMALLOC ✖ BLAS_OPEN ✖ BLAS_ATLAS ✖ BLAS_MKL ✖ BLAS_APPLE ✔ LAPACK ✖ MKLDNN ✔ OPENCV ✖ CAFFE ✖ PROFILER ✔ DIST_KVSTORE ✖ CXX14 ✖ INT64_TENSOR_SIZE ✔ SIGNAL_HANDLER ✖ DEBUG ----------System Info---------- Platform : Linux-4.18.0-15-generic-x86_64-with-Ubuntu-18.04-bionic system : Linux node : finapolis release : 4.18.0-15-generic version : #16~18.04.1-Ubuntu SMP Thu Feb 7 14:06:04 UTC 2019 ----------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): 8 On-line CPU(s) list: 0-7 Thread(s) per core: 2 Core(s) per socket: 4 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 58 Model name: Intel(R) Core(TM) i7-3770 CPU @ 3.40GHz Stepping: 9 CPU MHz: 2970.775 CPU max MHz: 3400,0000 CPU min MHz: 1600,0000 BogoMIPS: 6784.38 Virtualization: VT-x L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 8192K NUMA node0 CPU(s): 0-7 Flags: 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 rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm cpuid_fault epb pti tpr_shadow vnmi flexpriority ept vpid fsgsbase smep erms xsaveopt dtherm arat pln pts ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0032 sec, LOAD: 0.8174 sec. Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.2182 sec, LOAD: 1.2723 sec. Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.2506 sec, LOAD: 1.0109 sec. Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.1522 sec, LOAD: 0.5201 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.2439 sec, LOAD: 1.0428 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.2124 sec, LOAD: 0.4703 sec. ----------Environment---------- KMP_DUPLICATE_LIB_OK="True" ### PyQt5 (pip show pyqt5) Name: PyQt5 Version: 5.12.1 Summary: Python bindings for the Qt cross platform UI and application toolkit Home-page: https://www.riverbankcomputing.com/software/pyqt/ Author: Riverbank Computing Limited Author-email: [email protected] License: GPL v3 Location: /home/roman/dev/venv/lib/python3.6/site-packages Requires: PyQt5-sip Required-by: PyQtWebEngine, PyQt5-stubs `PyQt5` is the same on both computers. > How does the 4th computer on which you cant repro differ from the other 3 on which you experience the issue? I ask myself this question for several days. And I didn't figured it out yet.
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