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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/10/25 01:46:30 UTC
[GitHub] chi-hung opened a new issue #12971: DeformableConvolution throws an
"not implemented" error
chi-hung opened a new issue #12971: DeformableConvolution throws an "not implemented" error
URL: https://github.com/apache/incubator-mxnet/issues/12971
## Description
```mxnet.symbol.contrib.DeformableConvolution``` throws this error:
MXNetError: [01:30:30] src/operator/contrib/./deformable_convolution-inl.h:352: not implemented
## Environment info (Required)
A [docker container](https://github.com/chi-hung/DockerKeras/blob/master/Dockerfiles/MXNet/mxnet-cu9.2-dnn7.2-18.10.dockerfile) that contains:
* Python 3.6.3
* Ubuntu 18.04
* MXNet (for GPU) built from commit *d1234a4*
* More details:
```
----------Python Info----------
Version : 3.6.3
Compiler : GCC 4.8.2 20140120 (Red Hat 4.8.2-15)
Build : ('default', 'May 4 2018 04:22:28')
Arch : ('64bit', '')
------------Pip Info-----------
Version : 9.0.3
Directory : /opt/intel/intelpython3/lib/python3.6/site-packages/pip-9.0.3-py3.6.egg/pip
----------MXNet Info-----------
Version : 1.3.1
Directory : /opt/intel/intelpython3/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet
Hashtag not found. Not installed from pre-built package.
----------System Info----------
Platform : Linux-4.4.0-133-generic-x86_64-with-debian-buster-sid
system : Linux
node : 911f134d8cfd
release : 4.4.0-133-generic
version : #159-Ubuntu SMP Fri Aug 10 07:31:43 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: 8
Socket(s): 2
NUMA node(s): 2
Vendor ID: GenuineIntel
CPU family: 6
Model: 79
Model name: Intel(R) Xeon(R) CPU E5-2667 v4 @ 3.20GHz
Stepping: 1
CPU MHz: 3159.250
CPU max MHz: 3600.0000
CPU min MHz: 1200.0000
BogoMIPS: 6400.54
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 25600K
NUMA node0 CPU(s): 0-7,16-23
NUMA node1 CPU(s): 8-15,24-31
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 sdbg 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 invpcid_single intel_pt ibrs ibpb stibp kaiser tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm 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: 0.0615 sec, LOAD: 1.1407 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.1471 sec, LOAD: 0.9320 sec.
Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.0473 sec, LOAD: 0.7047 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.1199 sec, LOAD: 0.9396 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0229 sec, LOAD: 1.0230 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0132 sec, LOAD: 0.9278 sec.
```
## Minimum reproducible example
```
import mxnet
mxnet.symbol.contrib.DeformableConvolution(num_filter=5,kernel=3,pad=1) # throws error
mxnet.ndarray.contrib.DeformableConvolution(num_filter=5,kernel=3,pad=1) # throws error, too.
```
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