leeyeetonn opened a new issue #18927:
URL: https://github.com/apache/incubator-mxnet/issues/18927
## Description
(A clear and concise description of what the bug is.)
* `mxnet.ndarray.contrib.bipartite_matching` gives floating point exception
when input data's shape contains 0.
* Curiously, it only gives floating point exception when 0 is at certain
location in shape, and gives `dmlc::Error` for other locations. See the
provided code snippets 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.)
>Floating point exception(core dumped)
## To Reproduce
(If you developed your own code, please provide a short script that
reproduces the error. For existing examples, please provide link.)
The code below produces floating point exception:
```python
import mxnet as mx
import numpy as np
input = mx.nd.array(np.random.rand(0,2))
mx.ndarray.contrib.bipartite_matching(input, threshold=0.1)
```
gives:
>Floating point exception (core dumped)
If swap the position of the 0 in shape, it gives `dmlc::Error` instead:
```python
import mxnet as mx
import numpy as np
input = mx.nd.array(np.random.rand(2,0))
mx.ndarray.contrib.bipartite_matching(input, threshold=0.1)
```
gives:
> terminate called after throwing an instance of 'dmlc::Error'
what(): [22:15:23] src/imperative/./imperative_utils.h:146: Operator
_contrib_bipartite_matching inferring shapes failed.
input shapes:
[2,-1]
output shapes:
[2]
[-1]
operator attributes:
threshold : 0.1
Stack trace:
[bt] (0)
/root/miniconda3/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x307d3b)
[0x7f5828e96d3b]
[bt] (1)
/root/miniconda3/lib/python3.7/site-packages/mxnet/libmxnet.so(mxnet::imperative::SetShapeType(mxnet::Context
const&, nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*,
std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*,
std::allocator<mxnet::NDArray*> > const&, mxnet::DispatchMode*)+0x363b)
[0x7f582c0323bb]
Aborted (core dumped)
### Steps to reproduce
(Paste the commands you ran that produced the error.)
1. run the above code snippets in python Interpreter or run it as a python
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
```
I 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
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