CoinCheung opened a new issue #9909: mx.random.seed(seed) does not work for 
mx.io.ImageRecordIter() ?
URL: https://github.com/apache/incubator-mxnet/issues/9909
 
 
   
   ## Description
   The random seed of mx.io.ImageRecordIter() cannot be  changed with 
mx.random.seed(seed). 
   
   ## Environment info (Required)
   
   ```
   Version      : 3.6.4                                                         
                                                                                
   
   Compiler     : GCC 7.2.1 20171224                                            
                                                                                
                                 
   Build        : ('default', 'Jan  5 2018 02:35:40')                           
                                                                                
                                 
   Arch         : ('64bit', '')                                                 
                                                                                
                                 
   ------------Pip Info-----------                                              
                                                                                
                                 
   Version      : 9.0.1                                                         
                                                                                
   
   Directory    : /usr/lib/python3.6/site-packages/pip
   ----------MXNet Info-----------
   Version      : 1.1.0
   Directory    : /home/coin/.local/lib/python3.6/site-packages/mxnet
   Commit Hash   : 07a83a0325a3d782513a04f47d711710972cb144
   ----------System Info----------
   Platform     : Linux-4.14.15-1-ARCH-x86_64-with-arch
   system       : Linux
   node         : Arch-R720
   release      : 4.14.15-1-ARCH
   version      : #1 SMP PREEMPT Tue Jan 23 21:49:25 UTC 2018
   ----------Hardware Info----------
   machine      : x86_64
   processor    : 
   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) i5-7300HQ CPU @ 2.50GHz
   Stepping:            9
   CPU MHz:             900.142
   CPU max MHz:         3500.0000
   CPU min MHz:         800.0000
   BogoMIPS:            4993.00
   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 retpoline rsb_ctxsw tpr_shadow 
vnmi flexpriority ept vpid 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
   ```
   
   Package used (Python/R/Scala/Julia):
   (I'm using python)
   
   
   
   
   
   ## Minimum reproducible example
   (If you are using your own code, please provide a short script that 
reproduces the error. Otherwise, please provide link to the existing example.)
   ```
   import mxnet as mx
   import core.io as io
   import random
   
   
   seed = 1
   data_record='./datasets/train_list.rec'
   shape=(3,30,100)
   label_width=4
   batch_size=128
   
   dataiter = mx.io.ImageRecordIter(
           path_imgrec=data_record,
           data_shape=shape,
           label_width=label_width,
           shuffle=True,
           seed = seed,
           batch_size=batch_size
       )
   
   
   for i in range(3):
       batch = dataiter.next()
   
   # here set seed each time executing
   seed = random.randint(0, 5000)
   print(seed)
   mx.random.seed(seed)
   
   batch = dataiter.next()
   
   # on my platform, the printed number stays same each time
   print(batch.data[0][20][2][15][50])
   
   ```
   
   ## Steps to reproduce
   (Paste the commands you ran that produced the error.)
   
   1.  Just change the parameters in the code to define a dataiter with some 
.rec file, and save the python script as xxx.py
   2. run the python script: python xxx.py several times, and the printed seed 
changes each time while the printed element in the batch stays same each time.
   
   
   ## What have you tried to solve it?
   
   1. use reset() method after each epoch to change the random seed.
   

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