Skip to content
This repository has been archived by the owner on Nov 17, 2023. It is now read-only.

[BUGFIX] fix ELU function will appear nan when calculating the gradient #14673

Merged
merged 6 commits into from
Apr 23, 2019
Merged
Show file tree
Hide file tree
Changes from 3 commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion python/mxnet/gluon/nn/activations.py
Original file line number Diff line number Diff line change
Expand Up @@ -158,7 +158,7 @@ def __init__(self, alpha=1.0, **kwargs):
self._alpha = alpha

def hybrid_forward(self, F, x):
return F.where(x > 0, x, self._alpha * (F.exp(x) - 1.0))
F.LeakyReLU(x, act_type='elu', slope=self._alpha)
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Seems like you have an extra whitespace here, please get rid of that and this is good to go.

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Sorry, less return.



class SELU(HybridBlock):
Expand Down
2 changes: 1 addition & 1 deletion tests/python/unittest/test_gluon.py
Original file line number Diff line number Diff line change
Expand Up @@ -1180,7 +1180,7 @@ def swish_test(x):
elu = mx.gluon.nn.ELU()
def elu_test(x):
def elu(x):
return 1.0 * (mx.nd.exp(x) - 1) if x < 0 else x
return mx.nd.expm1(x) if x <= 0.0 else x
return [elu(x_i) for x_i in x]

for test_point, ref_point in zip(elu_test(point_to_validate), elu(point_to_validate)):
Expand Down