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Log sigmoid #3719

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vladfi1 opened this issue Aug 10, 2016 · 2 comments
Closed

Log sigmoid #3719

vladfi1 opened this issue Aug 10, 2016 · 2 comments
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type:feature Feature requests

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@vladfi1
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vladfi1 commented Aug 10, 2016

It would be nice to have a numerically stable log_sigmoid similar to the existing log_softmax.
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girving commented Aug 10, 2016

Do you mean -tf.softplus?

@girving girving closed this as completed Aug 10, 2016
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girving commented Apr 18, 2017

I changed my mind, after accidentally writing log_sigmoid(x) = -tf.nn.softplus(x) instead of the correct -tf.nn.softplus(-x). We should have tf.log_sigmoid, though it should be implemented as pure Python.

@girving girving reopened this Apr 18, 2017
@girving girving added stat:contribution welcome Status - Contributions welcome type:feature Feature requests labels Apr 18, 2017
@girving girving self-assigned this Apr 19, 2017
@girving girving removed the stat:contribution welcome Status - Contributions welcome label Apr 19, 2017
caisq pushed a commit to caisq/tensorflow that referenced this issue Apr 26, 2017
@girving @tensorflower-gardener
Add tf.log_sigmoid
9845d0e 
This is a numerically stable version of tf.log(tf.sigmoid(x)).  It's just
-tf.nn.softplus(-x), but it's easy to add and the identity is easy to mistype.

RELNOTES: Add tf.log_sigmoid(x) = tf.log(tf.sigmoid(x)) = -tf.nn.softplus(-x).

Fixes tensorflow#3719.
Change: 154308666
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