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 [this](https://github.com/apache/incubator-mxnet/issues/6325) 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 this ```python 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, self.default_bucket_key))] model=mx.mod.BucketingModule(sym_gen=sym_gen,default_bucket_key=max(self.buckets),context=self.ctx) #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 : /home/ubuntu/.pyenv/versions/python3/lib/python3.6/site-packages/pip ----------MXNet Info----------- Version : 1.1.0 Directory : /home/ubuntu/.pyenv/versions/python3/lib/python3.6/site-packages/mxnet 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: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, 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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