MccreeZhao opened a new issue #20254:
URL: https://github.com/apache/incubator-mxnet/issues/20254


   ## Description
   (A clear and concise description of what the bug is.)
   
   ```
   os.environ['MXNET_ENFORCE_DETERMINISM'] = '1'
   os.environ['MXNET_CUDNN_AUTOTUNE_DEFAULT'] = '0'
   
   
   def setup_seed(seed):
       np.random.seed(seed)
       random.seed(seed)
       mx.random.seed(seed)
   ```
   Hi!  I try to fix random seeds to reproduce the result with the code above. 
However, it does not work if I set ```net.hybridize()```.  Without hybridize, 
it works fine. Are there any settings that I can do to solve this problem? 
Thanks for your help.
   
   ### Error Message
   (Paste the complete error message. Please also include stack trace by 
setting environment variable `DMLC_LOG_STACK_TRACE_DEPTH=100` before running 
your script.)
   
   ## 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.
   2.
   
   ## What have you tried to solve it?
   
   1.
   2.
   
   ## Environment
   
   ***We recommend using our script for collecting the diagnostic information 
with the following command***
   `curl --retry 10 -s 
https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
 | python3`
   
   <details>
   <summary>Environment Information</summary>
   
   ```
   ----------Python Info----------
   Version      : 3.5.2
   Compiler     : GCC 5.4.0 20160609
   Build        : ('default', 'Jan 26 2021 13:30:48')
   Arch         : ('64bit', 'ELF')
   ------------Pip Info-----------
   Version      : 20.1.1
   Directory    : /usr/local/lib/python3.5/dist-packages/pip
   ----------MXNet Info-----------
   Version      : 1.7.0
   Directory    : /usr/local/lib/python3.5/dist-packages/mxnet
   Commit Hash   : 64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   Library      : ['/usr/local/lib/python3.5/dist-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
   ✖ TVM_OP
   ----------System Info----------
   Platform     : Linux-4.19.57-041957-generic-x86_64-with-Ubuntu-16.04-xenial
   system       : Linux
   node         : hezhao03
   release      : 4.19.57-041957-generic
   version      : #201907031234 SMP Wed Dec 18 16:26:13 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):                48
   On-line CPU(s) list:   0-47
   Thread(s) per core:    2
   Core(s) per socket:    12
   Socket(s):             2
   NUMA node(s):          2
   Vendor ID:             GenuineIntel
   CPU family:            6
   Model:                 63
   Model name:            Intel(R) Xeon(R) CPU E5-2670 v3 @ 2.30GHz
   Stepping:              2
   CPU MHz:               2100.385
   CPU max MHz:           3100.0000
   CPU min MHz:           1200.0000
   BogoMIPS:              4601.56
   Virtualization:        VT-x
   L1d cache:             32K
   L1i cache:             32K
   L2 cache:              256K
   L3 cache:              30720K
   NUMA node0 CPU(s):     0-11,24-35
   NUMA node1 CPU(s):     12-23,36-47
   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 arch_perfmon pebs bts rep_good nopl xtopology 
nonstop
   _tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 
ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt 
tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm cpuid_fault epb 
invpcid_single pti
    intel_ppin ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid 
ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm xsaveopt 
cqm_llc cqm_occup_llc dtherm ida arat pln pts md_clear flush_l1d
   ----------Network Test----------
   Setting timeout: 10
   Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403: 
Forbidden, DNS finished in 0.2070608139038086 sec.
   Error open Gluon Tutorial(cn): https://zh.gluon.ai, <urlopen error [SSL: 
CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:645)>, DNS 
finished in 0.3618035316467285 sec.
   Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.2726 sec, LOAD: 
3.3621 sec.
   Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.3561 sec, LOAD: 
2.0194 sec.
   Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0040 
sec, LOAD: 1.0338 sec.
   Timing for FashionMNIST: 
https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz,
 DNS: 0.1635 sec, LOAD: 0.9389 sec.
   ----------Environment----------
   KMP_INIT_AT_FORK="FALSE"
   KMP_DUPLICATE_LIB_OK="True"
   ```
   
   </details>
   


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

For queries about this service, please contact Infrastructure at:
[email protected]



---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to