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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/08/21 06:55:22 UTC
[GitHub] fighting-liu commented on issue #12255: Pretty high cpu load when
import mxnet
fighting-liu commented on issue #12255: Pretty high cpu load when import mxnet
URL: https://github.com/apache/incubator-mxnet/issues/12255#issuecomment-414569386
@vdantu Thanks for your attention.
**1. Environment info**
```
----------System Info----------
('Platform :', 'Linux-3.10.0-693.17.1.el7.x86_64-x86_64-with-centos-7.4.1708-Core')
('system :', 'Linux')
('node :', 'train2st.prod.yiran.com')
('release :', '3.10.0-693.17.1.el7.x86_64')
('version :', '#1 SMP Thu Jan 25 20:13:58 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): 56
On-line CPU(s) list: 0-55
Thread(s) per core: 2
Core(s) per socket: 14
Socket(s): 2
NUMA node(s): 2
Vendor ID: GenuineIntel
CPU family: 6
Model: 79
Model name: Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz
Stepping: 1
CPU MHz: 2401.000
CPU max MHz: 2401.0000
CPU min MHz: 1200.0000
BogoMIPS: 4800.04
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 35840K
NUMA node0 CPU(s): 0-13,28-41
NUMA node1 CPU(s): 14-27,42-55
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 arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch epb cat_l3 cdp_l3 invpcid_single intel_pt tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdt_a rdseed adx smap xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.3104 sec, LOAD: 5.1832 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.5159 sec, LOAD: 6.2714 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.5885 sec, LOAD: 2.0516 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.5425 sec, LOAD: 1.0500 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 1.4049 sec, LOAD: 4.5601 sec.
Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 2.1899 sec, LOAD: 2.9143 sec.
```
**2. Sample code**
```
import multiprocessing
import time
def mxnet_worker():
b_time = time.time()
import mxnet
print 'time consumes: {}'.format(time.time()-b_time)
read_process = [multiprocessing.Process(target=mxnet_worker) for i in range(8)]
for p in read_process:
p.daemon = True
p.start()
```
**3. Test results**
3.1 pip install mxnet-cu90==1.1
3.2 pip install mxnet-cu90==1.2
3.3 pip install --pre mxnet-cu90 (mxnet_cu90-1.3.0b20180820)
**4. Cpu status from htop monitor**
It takes too much time to import mxnet with mxnet 1.2 and mxnet 1.3
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