leeyeetonn opened a new issue #18941:
URL: https://github.com/apache/incubator-mxnet/issues/18941
## Description
(A clear and concise description of what the bug is.)
It seems random ndarray can trigger `mxnet.contrib.autograd.mark_variables`
to have segfault. Please see the provided code for example.
### Error Message
(Paste the complete error message. Please also include stack trace by
setting environment variable `DMLC_LOG_STACK_TRACE_DEPTH=10` before running
your script.)
>Segmentation fault: 11
Stack trace:
[bt] (0)
/root/miniconda3/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x3c27360)
[0x7efea4dda360]
## To Reproduce
(If you developed your own code, please provide a short script that
reproduces the error. For existing examples, please provide link.)
```python
import mxnet
import numpy as np
grads = mxnet.nd.array(np.random.rand(1))
vars = mxnet.nd.array(np.random.rand(1))
mxnet.contrib.autograd.mark_variables(gradients=grads, variables=vars)
```
### Steps to reproduce
(Paste the commands you ran that produced the error.)
1. run the provided code in python interpreter or as a script
2.
## What have you tried to solve it?
1.
2.
## Environment
We recommend using our script for collecting the diagnositc information. Run
the following command and paste the outputs below:
```
curl --retry 10 -s
https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py |
python
# paste outputs here
```
Got 404 when trying to get the script.
Some environment information:
* OS: ubuntu 18.04
* Python: 3.7.6
* pip: 20.0.2
* numpy: 1.18.5
* mxnet: 1.6.0
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
