From a4dec0674c4ce2fb42dedbe8fd2cf7bec021839b Mon Sep 17 00:00:00 2001
From: Nicolas Hug <contact@nicolas-hug.com>
Date: Wed, 24 Jun 2020 07:16:40 -0700
Subject: [PATCH] [doc] fix typo in formula of MarginRankingLoss (#40285)

Summary:
This is just a minor doc fix:

the `MarginRankingLoss` takes 2 input samples `x1` and `x2`, not just `x`
Pull Request resolved: https://github.com/pytorch/pytorch/pull/40285

Reviewed By: ezyang

Differential Revision: D22195069

Pulled By: zou3519

fbshipit-source-id: 909f491c94dca329a37216524f4088e9096e0bc6
---
 torch/nn/modules/loss.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/torch/nn/modules/loss.py b/torch/nn/modules/loss.py
index bda27f7a6dc..758a77c17ea 100644
--- a/torch/nn/modules/loss.py
+++ b/torch/nn/modules/loss.py
@@ -1050,10 +1050,10 @@ class MarginRankingLoss(_Loss):
     If :math:`y = 1` then it assumed the first input should be ranked higher
     (have a larger value) than the second input, and vice-versa for :math:`y = -1`.
 
-    The loss function for each sample in the mini-batch is:
+    The loss function for each pair of samples in the mini-batch is:
 
     .. math::
-        \text{loss}(x, y) = \max(0, -y * (x1 - x2) + \text{margin})
+        \text{loss}(x1, x2, y) = \max(0, -y * (x1 - x2) + \text{margin})
 
     Args:
         margin (float, optional): Has a default value of :math:`0`.