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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/09/10 14:00:32 UTC
[GitHub] [incubator-mxnet] lostella opened a new issue #16135: Sampling
fails on mxnet-mkl==1.5.0?
lostella opened a new issue #16135: Sampling fails on mxnet-mkl==1.5.0?
URL: https://github.com/apache/incubator-mxnet/issues/16135
## Description
Some random sampling functions seem not to be working on mxnet-mkl version 1.5.0.
## Environment info (Required)
```
----------Python Info----------
Version : 3.6.8
Compiler : GCC 8.3.0
Build : ('default', 'Aug 20 2019 17:12:48')
Arch : ('64bit', 'ELF')
------------Pip Info-----------
Version : 9.0.1
Directory : /usr/lib/python3/dist-packages/pip
----------MXNet Info-----------
Version : 1.5.0
Directory : /usr/local/lib/python3.6/dist-packages/mxnet
Commit Hash : 75a9e187d00a8b7ebc71412a02ed0e3ae489d91f
Library : ['/usr/local/lib/python3.6/dist-packages/mxnet/libmxnet.so']
Build features:
No runtime build feature info available
----------System Info----------
Platform : Linux-4.9.184-linuxkit-x86_64-with-Ubuntu-18.04-bionic
system : Linux
node : 052b8025cdde
release : 4.9.184-linuxkit
version : #1 SMP Tue Jul 2 22:58:16 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): 2
On-line CPU(s) list: 0,1
Thread(s) per core: 1
Core(s) per socket: 1
Socket(s): 2
Vendor ID: GenuineIntel
CPU family: 6
Model: 142
Model name: Intel(R) Core(TM) i7-7660U CPU @ 2.50GHz
Stepping: 9
CPU MHz: 2500.000
BogoMIPS: 4992.00
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 4096K
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht pbe syscall nx pdpe1gb lm constant_tsc rep_good nopl xtopology nonstop_tsc pni pclmulqdq dtes64 ds_cpl ssse3 sdbg fma cx16 xtpr pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch kaiser fsgsbase bmi1 hle avx2 bmi2 erms rtm xsaveopt arat
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0417 sec, LOAD: 0.5915 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0663 sec, LOAD: 0.9574 sec.
Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.0654 sec, LOAD: 0.8602 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0557 sec, LOAD: 0.8515 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0422 sec, LOAD: 0.7237 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0470 sec, LOAD: 0.1490 sec.
----------Environment----------
```
I'm using Python, pip-freeze gives:
```
asn1crypto==0.24.0
certifi==2019.6.16
chardet==3.0.4
cryptography==2.1.4
graphviz==0.8.4
idna==2.6
keyring==10.6.0
keyrings.alt==3.0
mxnet-mkl==1.5.0
numpy==1.17.2
pycrypto==2.6.1
pygobject==3.26.1
pyxdg==0.25
requests==2.22.0
SecretStorage==2.3.1
six==1.11.0
urllib3==1.25.3
```
## Error Message:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<string>", line 68, in sample_normal
File "/usr/local/lib/python3.6/dist-packages/mxnet/_ctypes/ndarray.py", line 92, in _imperative_invoke
ctypes.byref(out_stypes)))
File "/usr/local/lib/python3.6/dist-packages/mxnet/base.py", line 253, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: vector::_M_range_insert
```
## Minimum reproducible example
```python
import mxnet as mx
s = mx.nd.sample_normal(mu=mx.nd.array([10.0]), sigma=mx.nd.array([0.5]))
```
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