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| author | Wei Yang <weiyang@fb.com> | 2018-07-02 15:44:12 -0700 |
|---|---|---|
| committer | Facebook Github Bot <facebook-github-bot@users.noreply.github.com> | 2018-07-02 15:54:46 -0700 |
| commit | cb1bfe91afcab1f7431202afe03381a5d59e4ee3 (patch) | |
| tree | efcf92c5200984cb5c014bbd1f4bea6ec2e6093b /torch/distributions/transforms.py | |
| parent | 50392cc55444672a4b63b335455040a6ba53ae32 (diff) | |
| download | pytorch-cb1bfe91afcab1f7431202afe03381a5d59e4ee3.tar.gz pytorch-cb1bfe91afcab1f7431202afe03381a5d59e4ee3.tar.bz2 pytorch-cb1bfe91afcab1f7431202afe03381a5d59e4ee3.zip | |
Deprecated several functions at torch.nn.functional (#8748)
Summary:
1. fixes #6245
2. deprecated tanh, sigmoid
Closes https://github.com/pytorch/pytorch/pull/8748
Differential Revision: D8697975
Pulled By: weiyangfb
fbshipit-source-id: f30714aa0611a1fe870040692f3dbcc8238aece9
Diffstat (limited to 'torch/distributions/transforms.py')
| -rw-r--r-- | torch/distributions/transforms.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/torch/distributions/transforms.py b/torch/distributions/transforms.py index 6852a71df9..9b241f6eba 100644 --- a/torch/distributions/transforms.py +++ b/torch/distributions/transforms.py @@ -6,7 +6,7 @@ import torch from torch.distributions import constraints from torch.distributions.utils import (_sum_rightmost, broadcast_all, lazy_property) -from torch.nn.functional import pad, sigmoid +from torch.nn.functional import pad __all__ = [ 'AbsTransform', @@ -341,7 +341,7 @@ class SigmoidTransform(Transform): return isinstance(other, SigmoidTransform) def _call(self, x): - return sigmoid(x) + return torch.sigmoid(x) def _inverse(self, y): return y.log() - (-y).log1p() @@ -483,7 +483,7 @@ class StickBreakingTransform(Transform): def _call(self, x): offset = (x.shape[-1] + 1) - x.new([1]).expand(x.shape).cumsum(-1) - z = sigmoid(x - offset.log()) + z = torch.sigmoid(x - offset.log()) z_cumprod = (1 - z).cumprod(-1) y = pad(z, (0, 1), value=1) * pad(z_cumprod, (1, 0), value=1) return y @@ -497,7 +497,7 @@ class StickBreakingTransform(Transform): def log_abs_det_jacobian(self, x, y): offset = (x.shape[-1] + 1) - x.new([1]).expand(x.shape).cumsum(-1) - z = sigmoid(x - offset.log()) + z = torch.sigmoid(x - offset.log()) detJ = ((1 - z).log() + y[..., :-1].log()).sum(-1) return detJ |