kandoiNikhil opened a new issue #10016: MxNet hangs up during bind.
URL: https://github.com/apache/incubator-mxnet/issues/10016
    ## DataParallelExecutorGroup hangs  
   This is a copy of the resolved issue. See 
   When setting gpu as the context, the above mentioned function takes a very 
long time to return.
   It is currently taking 9 minutes for this function to return and it happens 
every time.
   I am currently using the BucketingModule and the relevant code looks like 
   self.ctx = mx.gpu(int(gpu_ordinal)) # gpu_ordinal is the ordinal value of 
the gpu
   self.provide_data = [('data', (self.batch_size, self.default_bucket_key))]
   self.provide_label = [('softmax_label', (self.batch_size, 
  #sym_gen refers to a function that generates the symbol   
   model.bind(self.provide_data, self.provide_label, for_training=False)
   ## Environment info (Required)
   ### Diagnostic info
   ----------Python Info----------
   Version      : 3.6.0
   Compiler     : GCC 5.4.0 20160609
   Build        : ('default', 'Mar  5 2018 18:57:22')
   Arch         : ('64bit', 'ELF')
   ------------Pip Info-----------
   Version      : 9.0.1
   Directory    : 
   ----------MXNet Info-----------
   Version      : 1.1.0
   Directory    : 
   Commit Hash   : 07a83a0325a3d782513a04f47d711710972cb144
   ----------System Info----------
   Platform     : Linux-4.4.0-1049-aws-x86_64-with-debian-stretch-sid
   system       : Linux
   node         : ip-172-31-80-133
   release      : 4.4.0-1049-aws
   version      : #58-Ubuntu SMP Fri Jan 12 23:17:09 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):                8
   On-line CPU(s) list:   0-7
   Thread(s) per core:    2
   Core(s) per socket:    4
   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:               2699.714
   CPU max MHz:           3000.0000
   CPU min MHz:           1200.0000
   BogoMIPS:              4600.05
   Hypervisor vendor:     Xen
   Virtualization type:   full
   L1d cache:             32K
   L1i cache:             32K
   L2 cache:              256K
   L3 cache:              46080K
   NUMA node0 CPU(s):     0-7
   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 eagerfpu 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: 0.0017 
sec, LOAD: 0.6100 sec.
   Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0631 sec, LOAD: 
0.0172 sec.
   Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.1353 sec, LOAD: 
0.3825 sec.
   Timing for FashionMNIST: 
 DNS: 0.0268 sec, LOAD: 0.1850 sec.
   Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0026 sec, LOAD: 
0.0223 sec.
   Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0031 sec, 
LOAD: 0.0169 sec.
   ## Build info (Required if built from source)
   Did not build it MxNEt from source. Did a 
   `pip install mxnet`
   ## Error Message:
   There is no error message.
   ## Ask
   Guidance on how to debug and resolve this

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