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