Fix formatting error in `set_deterministic` documentation (#49136)
Summary:
Fixes formatting error that was preventing a bulleted list from being displayed properly
Pull Request resolved: https://github.com/pytorch/pytorch/pull/49136
Reviewed By: zou3519
Differential Revision: D25493130
Pulled By: mruberry
fbshipit-source-id: 7fc21e0e2cfa9465a60d2d43b805164316375f01
diff --git a/torch/__init__.py b/torch/__init__.py
index 403c192..30c328c 100644
--- a/torch/__init__.py
+++ b/torch/__init__.py
@@ -359,11 +359,13 @@
* :class:`torch.nn.FractionalMaxPool2d` when called on a CUDA tensor that requires grad
* :class:`torch.nn.FractionalMaxPool3d` when called on a CUDA tensor that requires grad
* :func:`torch.nn.functional.interpolate` when called on a CUDA tensor that requires grad
- and one of the following modes is used:
- - `linear`
- - `bilinear`
- - `bicubic`
- - `trilinear`
+ and one of the following modes is used:
+
+ - `linear`
+ - `bilinear`
+ - `bicubic`
+ - `trilinear`
+
* :class:`torch.nn.ReflectionPad1d` when called on a CUDA tensor that requires grad
* :class:`torch.nn.ReflectionPad2d` when called on a CUDA tensor that requires grad
* :class:`torch.nn.ReplicationPad1d` when called on a CUDA tensor that requires grad