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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/09/11 08:00:42 UTC
[GitHub] [incubator-mxnet] RomanSteinberg edited a comment on issue #16134:
Incorrect subtraction
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 : 3.6.7
Compiler : GCC 8.2.0
Build : ('default', 'Oct 22 2018 11:32:17')
Arch : ('64bit', 'ELF')
------------Pip Info-----------
Version : 19.2.3
Directory : /home/roman/dev/venv/lib/python3.6/site-packages/pip
----------MXNet Info-----------
Version : 1.4.1
Directory : /home/roman/dev/venv/lib/python3.6/site-packages/mxnet
Commit hash file "/home/roman/dev/venv/lib/python3.6/site-packages/mxnet/COMMIT_HASH" not found. Not installed from pre-built package or built from source.
Library : ['/home/roman/dev/venv/lib/python3.6/site-packages/mxnet/libmxnet.so']
Build features:
No runtime build feature info available
----------System Info----------
Platform : Linux-5.0.0-27-generic-x86_64-with-Ubuntu-18.04-bionic
system : Linux
node : vs-roman
release : 5.0.0-27-generic
version : #28~18.04.1-Ubuntu SMP Thu Aug 22 03:00:32 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): 4
On-line CPU(s) list: 0-3
Thread(s) per core: 1
Core(s) per socket: 4
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 158
Model name: Intel(R) Core(TM) i5-7400 CPU @ 3.00GHz
Stepping: 9
CPU MHz: 3398.450
CPU max MHz: 3500.0000
CPU min MHz: 800.0000
BogoMIPS: 6000.00
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 6144K
NUMA node0 CPU(s): 0-3
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 pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single pti ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp md_clear flush_l1d
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0007 sec, LOAD: 0.8725 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.2035 sec, LOAD: 1.1684 sec.
Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.2429 sec, LOAD: 1.0129 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0824 sec, LOAD: 1.0680 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0018 sec, LOAD: 0.9863 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.1887 sec, LOAD: 0.3513 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: info@riverbankcomputing.com
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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