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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/04/27 05:05:52 UTC
[GitHub] [incubator-mxnet] austinmw opened a new issue #18172: mxnet.numpy switches back to numpy in jupyter
austinmw opened a new issue #18172:
URL: https://github.com/apache/incubator-mxnet/issues/18172
## Description
Strange `npx.set_np()` issue with jupyter lab. When I use np within the same cell as import and set, `np.array()` is of type `mxnet.numpy.ndarray`, but in a following cell it's instead type `numpy.ndarray`.
### Error Message
> TypeError: 'ctx' is an invalid keyword argument for this function
## To Reproduce
## What have you tried to solve it?
1. Experimented with different mxnet version
2. Tried moving around operations
## Environment
```
----------Python Info----------
Version : 3.6.5
Compiler : GCC 7.2.0
Build : ('default', 'Apr 29 2018 16:14:56')
Arch : ('64bit', '')
------------Pip Info-----------
Version : 10.0.1
Directory : /home/ubuntu/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/pip
----------MXNet Info-----------
Version : 1.6.0
Directory : /home/ubuntu/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet
Num GPUs : 1
Hashtag not found. Not installed from pre-built package.
----------System Info----------
Platform : Linux-4.15.0-1060-aws-x86_64-with-debian-buster-sid
system : Linux
node : ip-172-31-74-28
release : 4.15.0-1060-aws
version : #62-Ubuntu SMP Tue Feb 11 21:23:22 UTC 2020
----------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): 4
On-line CPU(s) list: 0-3
Thread(s) per core: 2
Core(s) per socket: 2
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 85
Model name: Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz
Stepping: 7
CPU MHz: 3184.957
BogoMIPS: 4999.99
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 32K
L1i cache: 32K
L2 cache: 1024K
L3 cache: 36608K
NUMA node0 CPU(s): 0-3
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 syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq 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 pti fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves ida arat pku ospke avx512_vnni
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0017 sec, LOAD: 0.4756 sec.
Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0004 sec, LOAD: 0.4359 sec.
Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0448 sec, LOAD: 0.1585 sec.
Timing for D2L: http://d2l.ai, DNS: 0.0888 sec, LOAD: 0.1138 sec.
Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0163 sec, LOAD: 0.1926 sec.
Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0865 sec, LOAD: 0.3704 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0014 sec, LOAD: 0.0835 sec.
Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403: Forbidden, DNS finished in 0.0031137466430664062 sec.
```
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[GitHub] [incubator-mxnet] austinmw commented on issue #18172: mxnet.numpy switches back to numpy in jupyter
Posted by GitBox <gi...@apache.org>.
austinmw commented on issue #18172:
URL: https://github.com/apache/incubator-mxnet/issues/18172#issuecomment-619733354
Going to close this as I think it's just specific to the latest version of jupyterlab.
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[GitHub] [incubator-mxnet] leezu commented on issue #18172: mxnet.numpy switches back to numpy in jupyter
Posted by GitBox <gi...@apache.org>.
leezu commented on issue #18172:
URL: https://github.com/apache/incubator-mxnet/issues/18172#issuecomment-620153243
@austinmw could you link any related bug report on the jupyterlab side?
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