Fixed trivial typos in Dropout2D and Dropout3D classes (#15200)

Summary:
Fixed trivial typos in Dropout2D and Dropout3D classes

weiyangfb
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15200

Differential Revision: D13537888

Pulled By: ezyang

fbshipit-source-id: 8fb06027ca663a2e4bfa016af400698ae3c88ad1

diff --git a/torch/nn/modules/dropout.py b/torch/nn/modules/dropout.py
index 2b114db..e9ec872 100644 (file)
--- a/torch/nn/modules/dropout.py
+++ b/torch/nn/modules/dropout.py
@@ -62,7 +62,7 @@ class Dropout(_DropoutNd):
 class Dropout2d(_DropoutNd):
     r"""Randomly zero out entire channels (a channel is a 2D feature map,
     e.g., the :math:`j`-th channel of the :math:`i`-th sample in the
-    batched input is a 2D tensor :math:`\text{input}[i, j]`) of the input tensor).
+    batched input is a 2D tensor :math:`\text{input}[i, j]`).
     Each channel will be zeroed out independently on every forward call.
     with probability :attr:`p` using samples from a Bernoulli distribution.
 
@@ -106,7 +106,7 @@ class Dropout2d(_DropoutNd):
 class Dropout3d(_DropoutNd):
     r"""Randomly zero out entire channels (a channel is a 3D feature map,
     e.g., the :math:`j`-th channel of the :math:`i`-th sample in the
-    batched input is a 3D tensor :math:`\text{input}[i, j]`) of the input tensor).
+    batched input is a 3D tensor :math:`\text{input}[i, j]`).
     Each channel will be zeroed out independently on every forward call.
     with probability :attr:`p` using samples from a Bernoulli distribution.