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Showing content from https://github.com/apache/mxnet/issues/18934 below:

Floating point exception in mxnet.ndarray.LeakyReLU · Issue #18934 · apache/mxnet · GitHub

(A clear and concise description of what the bug is.)
mxnet.ndarray.LeakyReLU has floating point exception when given data's shape contain 0. Please see provided code snippet for example.

(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)

(If you developed your own code, please provide a short script that reproduces the error. For existing examples, please provide link.)

import mxnet
import numpy as np

input = mxnet.nd.array(np.random.rand(0,1,1))
mxnet.ndarray.LeakyReLU(input)

(Paste the commands you ran that produced the error.)

1. run the provided code in python interpreter or as a script

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

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