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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/03/03 02:54:13 UTC
[GitHub] CoinCheung opened a new issue #9978: Error with random generator
CoinCheung opened a new issue #9978: Error with random generator
URL: https://github.com/apache/incubator-mxnet/issues/9978
## Description
Once I use DataLoader, the nd.random seed will be fixed.
## Environment info (Required)
```
----------Python Info----------
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: 3195.292
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
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0051 sec, LOAD: 1.8638 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0090 sec, LOAD: 5.4130 sec.
Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.0096 sec, LOAD: 8.2085 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 5.2088 sec, LOAD: 11.3016 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0071 sec, LOAD: 1.0104 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0096 sec, LOAD: 0.6771 sec.
```
Package used (Python/R/Scala/Julia):
(I'm using python)
## Minimum reproducible example
```
cifar10_train = mx.gluon.data.vision.datasets.CIFAR10(
root='~/.mxnet/datasets/cifar10/',
train=True,
transform=None
)
train_data = mx.gluon.data.DataLoader(
cifar10_train,
batch_size=1,
shuffle=True,
last_batch ='rollover'
)
for batch, label in train_data:
print(batch[0][0][0])
noise = mx.nd.random.normal(0,1,shape=(3,32,32),dtype=np.float32)
print(noise[0][0][0])
break
```
## Steps to reproduce
1. paste the code to a python file random_error.py
2. run it with python random_error.py for several times
3. each time the batch[0][0][0] will be different which shows that the batch is randomly chosen, while the noise[0][0][0] is always the same value, which I believe is seed-fixed.
## What have you tried to solve it?
1.
2.
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