Incubator-mxnet: train_cifar10 example not working with Master Branch

[kalyc]

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Description

train_cifar10 example not working as described in the readme

Following error message is thrown:

Traceback (most recent call last):
  File "train_mnist.py", line 96, in <module>
    fit.fit(args, sym, get_mnist_iter)
  File "/home/ubuntu/incubator-mxnet/example/image-classification/common/fit.py", line 220, in fit
    lr, lr_scheduler = _get_lr_scheduler(args, kv)
  File "/home/ubuntu/incubator-mxnet/example/image-classification/common/fit.py", line 53, in _get_lr_scheduler
    base_lr=args.lr))
TypeError: __init__() got an unexpected keyword argument 'base_lr'

Environment info (Required)

----------Python Info----------
Version      : 3.6.5
Compiler     : GCC 7.2.0
Build        : ('default', 'Apr 29 2018 16:14:56')
Arch         : ('64bit', '')
------------Pip Info-----------
Version      : 10.0.1
Directory    : /home/ubuntu/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/pip
----------MXNet Info-----------
Version      : 1.3.0
Directory    : /home/ubuntu/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet
Commit Hash   : b3be92f4a48bce62a5a8424271871c2f81c8f7f1
----------System Info----------
Platform     : Linux-4.4.0-1070-aws-x86_64-with-debian-stretch-sid
system       : Linux
node         : ip-172-31-13-114
release      : 4.4.0-1070-aws
version      : #80-Ubuntu SMP Thu Oct 4 13:56:07 UTC 2018
----------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):                32
On-line CPU(s) list:   0-31
Thread(s) per core:    2
Core(s) per socket:    16
Socket(s):             1
NUMA node(s):          1
Vendor ID:             GenuineIntel
CPU family:            6
Model:                 79
Model name:            Intel(R) Xeon(R) CPU E5-2686 v4 @ 2.30GHz
Stepping:              1
CPU MHz:               2701.871
CPU max MHz:           3000.0000
CPU min MHz:           1200.0000
BogoMIPS:              4600.06
Hypervisor vendor:     Xen
Virtualization type:   full
L1d cache:             32K
L1i cache:             32K
L2 cache:              256K
L3 cache:              46080K
NUMA node0 CPU(s):     0-31
Flags:                 fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single kaiser fsgsbase bmi1 hle avx2 smep bmi2 erms invpcid rtm rdseed adx xsaveopt
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0018 sec, LOAD: 0.5779 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0474 sec, LOAD: 0.1173 sec.
Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.3806 sec, LOAD: 0.1539 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0098 sec, LOAD: 0.2449 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0095 sec, LOAD: 0.3935 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0009 sec, LOAD: 0.0534 sec.

Package used (Python/R/Scala/Julia):
Python

For Scala user, please provide:

1. Java version: (java -version)
2. Maven version: (mvn -version)
3. Scala runtime if applicable: (scala -version)

For R user, please provide R sessionInfo():

Build info (Required if built from source)

Compiler (gcc/clang/mingw/visual studio):

MXNet commit hash:
89f3091f06b3ab82aab27f6a48d6e2b6223b2a09

Build config:
(Paste the content of config.mk, or the build command.)

Error Message:

(Paste the complete error message, including stack trace.)

Minimum reproducible example

Steps to reproduce

(Paste the commands you ran that produced the error.)

1. Run python train_cifar10.py --network resnet --num-layers 110 --gpus 0,1

What have you tried to solve it?

1. Installed v1.3 from source on Base DLAMI
2. Used DLAMI environment - mxnet_p36 to test this example

Error thrown in both the cases

@mxnet-label-bot add[Example, Python]

[Roshrini]

Thanks for reporting this issue. I tried to reproduce it. Seems like the example script was changed after the release.

If you run script https://github.com/apache/incubator-mxnet/blob/master/example/image-classification/train_cifar10.py from master branch, it will not work with 1.3. release branch.

With MXNet1.3 branch, please run https://github.com/apache/incubator-mxnet/blob/v1.3.x/example/image-classification/train_cifar10.py It works fine.

[kalyc]

Thanks for taking a look @Roshrini
I verified that the example works with v1.3.x branch and doesn't work with the master branch.
Error log is the same as pasted above for master branch

[harshp8l]

@mxnet-label-bot add [Example, Python]

[kalyc]

Re-installed mxnet using pip install mxnet --pre and the example works on master, closing issue