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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2017/11/29 16:40:47 UTC
[GitHub] iFreilicht opened a new issue #8871: Lots of unnecessary output on caught exceptions
iFreilicht opened a new issue #8871: Lots of unnecessary output on caught exceptions
URL: https://github.com/apache/incubator-mxnet/issues/8871
## Description
Some functions will write to stderr when an exception occurs, even if that exception is caught.
## Environment info (Required)
```
----------Python Info----------
Version : 3.4.3
Compiler : GCC 4.8.4
Build : ('default', 'Nov 17 2016 01:08:31')
Arch : ('64bit', 'ELF')
------------Pip Info-----------
Version : 9.0.1
Directory : /usr/local/lib/python3.4/dist-packages/pip
----------MXNet Info-----------
Version : 0.12.1
Directory : /usr/local/lib/python3.4/dist-packages/mxnet
Commit Hash : e0c7906693f0c79b0ce34a4d777c26a6bf1903c1
----------System Info----------
Platform : Linux-3.13.0-49-generic-x86_64-with-Ubuntu-14.04-trusty
system : Linux
node : felix-XPS-12-Ubuntu
release : 3.13.0-49-generic
version : #83-Ubuntu SMP Fri Apr 10 20:11:33 UTC 2015
----------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: 69
Stepping: 1
CPU MHz: 768.000
BogoMIPS: 4789.25
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 4096K
NUMA node0 CPU(s): 0-3
----------Network Test----------
Setting timeout: 10
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0009 sec, LOAD: 0.0417 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0005 sec, LOAD: 0.7818 sec.
Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.0010 sec, LOAD: 0.7462 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0007 sec, LOAD: 0.0353 sec.
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0005 sec, LOAD: 0.7448 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0181 sec, LOAD: 0.0541 sec.
```
Package used (Python):
```
$ pip show mxnet
Name: mxnet
Version: 0.12.1
Summary: MXNet is an ultra-scalable deep learning framework. This version uses openblas.
Home-page: https://github.com/dmlc/mxnet
Author: UNKNOWN
Author-email: UNKNOWN
License: Apache 2.0
Location: /usr/local/lib/python3.4/dist-packages
Requires: graphviz, numpy, requests
```
## Error Message:
```
[17:27:51] src/imperative/./imperative_utils.h:74: GPU support is disabled. Compile MXNet with USE_CUDA=1 to enable GPU support.
[17:27:51] /home/travis/build/dmlc/mxnet-distro/mxnet-build/dmlc-core/include/dmlc/logging.h:308: [17:27:51] src/imperative/imperative.cc:78: Operator _ones is not implemented for GPU.
Stack trace returned 10 entries:
[bt] (0) /usr/local/lib/python3.4/dist-packages/mxnet/libmxnet.so(+0x16d89c) [0x7fdea5c6489c]
[bt] (1) /usr/local/lib/python3.4/dist-packages/mxnet/libmxnet.so(+0x203c644) [0x7fdea7b33644]
[bt] (2) /usr/local/lib/python3.4/dist-packages/mxnet/libmxnet.so(+0x2041138) [0x7fdea7b38138]
[bt] (3) /usr/local/lib/python3.4/dist-packages/mxnet/libmxnet.so(+0x1f9f6b1) [0x7fdea7a966b1]
[bt] (4) /usr/local/lib/python3.4/dist-packages/mxnet/libmxnet.so(MXImperativeInvokeEx+0x63) [0x7fdea7a96a53]
[bt] (5) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call_unix64+0x4c) [0x7fdeb6a21c7c]
[bt] (6) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call+0x1fc) [0x7fdeb6a215ac]
[bt] (7) /usr/lib/python3.4/lib-dynload/_ctypes.cpython-34m-x86_64-linux-gnu.so(_ctypes_callproc+0x21d) [0x7fdeb6c3312d]
[bt] (8) /usr/lib/python3.4/lib-dynload/_ctypes.cpython-34m-x86_64-linux-gnu.so(+0xf6a3) [0x7fdeb6c336a3]
[bt] (9) python3(PyEval_EvalFrameEx+0x41d7) [0x48a487]
No problem.
```
## Minimum reproducible example
```
import mxnet as mx
try:
mx.nd.ones(1, mx.gpu())
except mx.MXNetError:
print('No problem.')
```
## Steps to reproduce
1. Run any function that can fail with an exception and catch it
2. You will notice that output is being written, including the stacktrace
## What have you tried to solve it?
I tried to redirect stderr in python while calling the function like so:
`sys.stderr = open(os.devnull)`
I also tried redirecting stderr on commandline level:
`$ ./my_script.py 2> /dev/null
This works, but also silences all other output onto stderr, including uncaught exceptions and the helptext from pythons argument parser.
This is extremely annoying when trying to write a command-line tool based on mxnet, as it drowns out relevant ouput.
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