You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/05/17 08:24:26 UTC
[GitHub] [incubator-mxnet] fierceX opened a new issue #14979: [BUG] Using a
package with MKL and GPU versions,
using python to open a new process will cause an error
fierceX opened a new issue #14979: [BUG] Using a package with MKL and GPU versions, using python to open a new process will cause an error
URL: https://github.com/apache/incubator-mxnet/issues/14979
Hardware and version information:
----------Python Info----------
Version : 3.6.8
Compiler : GCC 7.3.0
Build : ('default', 'Dec 30 2018 01:22:34')
Arch : ('64bit', '')
------------Pip Info-----------
Version : 19.1.1
Directory : /home/bird/miniconda3/envs/test/lib/python3.6/site-packages/pip
----------MXNet Info-----------
Version : 1.4.1
Directory : /home/bird/miniconda3/envs/test/lib/python3.6/site-packages/mxnet
Hashtag not found. Not installed from pre-built package.
----------System Info----------
Platform : Linux-4.15.0-50-generic-x86_64-with-debian-buster-sid
system : Linux
node : ctmp
release : 4.15.0-50-generic
version : #54-Ubuntu SMP Mon May 6 18:46:08 UTC 2019
----------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: 94
Model name: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz
Stepping: 3
CPU MHz: 800.218
CPU max MHz: 4000.0000
CPU min MHz: 800.0000
BogoMIPS: 6816.00
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 8192K
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 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 smx 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 epb invpcid_single pti ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp md_clear flush_l1d
Python package version
```
Package Version
-------------- --------
certifi 2019.3.9
chardet 3.0.4
gluonnlp 0.6.0
graphviz 0.8.4
idna 2.8
mxnet-cu100mkl 1.4.1
numpy 1.14.6
pip 19.1.1
requests 2.22.0
setuptools 41.0.1
urllib3 1.25.2
wheel 0.33.4
```
In a GPU package with MKL, if you create a new process in Python and use multiple processes to load data at the same time, you will get an error.
```python
from multiprocessing import Process
import gluonnlp as nlp
import numpy as np
from gluonnlp.data import SQuAD
from mxnet import nd,gluon
import mxnet as mx
from mxnet.gluon import nn
class Transform(object):
def __init__(self):
pass
def __call__(self, record_index, question_id, question, context, answer_list,
answer_start_list):
return np.ones((100,1)),np.ones((100,3))
def train():
train_data = SQuAD('train')
dataloader = gluon.data.DataLoader(train_data.transform(Transform()),batch_size=128, shuffle=True, num_workers=4)
net = nn.HybridSequential()
net.add(nn.Dense(10))
net.initialize(mx.init.Xavier(), ctx=mx.gpu(0))
print(net)
p = Process(target=train)
p.start()
p.join()
```
```
Segmentation fault: 11
Stack trace returned 10 entries:
[bt] (0) /home/bird/miniconda3/envs/test/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x3f935a) [0x7ff39d25735a]
[bt] (1) /home/bird/miniconda3/envs/test/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x3513b36) [0x7ff3a0371b36]
[bt] (2) /lib/x86_64-linux-gnu/libc.so.6(+0x3ef20) [0x7ff3e124ff20]
[bt] (3) /home/bird/miniconda3/envs/test/lib/python3.6/site-packages/mxnet/libiomp5.so(+0xa9ea5) [0x7ff3dce09ea5]
[bt] (4) /home/bird/miniconda3/envs/test/lib/python3.6/site-packages/mxnet/libiomp5.so(+0xa9ba4) [0x7ff3dce09ba4]
[bt] (5) /home/bird/miniconda3/envs/test/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2da4d13) [0x7ff39fc02d13]
[bt] (6) /home/bird/miniconda3/envs/test/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2db56c8) [0x7ff39fc136c8]
[bt] (7) /home/bird/miniconda3/envs/test/lib/python3.6/site-packages/mxnet/libmxnet.so(std::shared_ptr<mxnet::engine::ThreadedEnginePerDevice::ThreadWorkerBlock<(dmlc::ConcurrentQueueType)1> > mxnet::common::LazyAllocArray<mxnet::engine::ThreadedEnginePerDevice::ThreadWorkerBlock<(dmlc::ConcurrentQueueType)1> >::Get<mxnet::engine::ThreadedEnginePerDevice::PushToExecute(mxnet::engine::OprBlock*, bool)::{lambda()#2}>(int, mxnet::engine::ThreadedEnginePerDevice::PushToExecute(mxnet::engine::OprBlock*, bool)::{lambda()#2})+0x251) [0x7ff39fc18501]
[bt] (8) /home/bird/miniconda3/envs/test/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2dbd359) [0x7ff39fc1b359]
[bt] (9) /home/bird/miniconda3/envs/test/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2da9428) [0x7ff39fc07428]
```
If you change the mxnet version to `mxnet-cu100-1.4.1`, there will be no errors.
Similarly, `mxnet-cu100mkl-1.5.0b20190516` will fail and `mxnet-cu100-1.5.0b20190516` will not go wrong.
In addition
Using cpu
Remove the num_workers parameter
Do not create a new process
Nothing in any of the above three cases will go wrong
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
users@infra.apache.org
With regards,
Apache Git Services