From dc20fcb88ecdbb8970599b84efd74711a14b9c9b Mon Sep 17 00:00:00 2001
From: asideofcode-dev <133222359+asideofcode-dev@users.noreply.github.com>
Date: Wed, 8 Jan 2025 22:05:06 +0000
Subject: [PATCH] Revert prefactor m in autograd documentation

The prefactor m was incorrectly added to the vector-Jacobian product formula in the autograd tutorial. This change was based on the mistaken assumption that m-scaling was necessary to account for multiple terms in the summation. However, the chain rule and vector-Jacobian product formula already correctly aggregate contributions from all intermediate variables without requiring explicit scaling by m.
---
 beginner_source/blitz/autograd_tutorial.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/beginner_source/blitz/autograd_tutorial.py b/beginner_source/blitz/autograd_tutorial.py
index b31a30409aa..b736b429eee 100644
--- a/beginner_source/blitz/autograd_tutorial.py
+++ b/beginner_source/blitz/autograd_tutorial.py
@@ -191,7 +191,7 @@
 # .. math::
 #
 #
-#      J^{T}\cdot \vec{v} = m \cdot \left(\begin{array}{ccc}
+#      J^{T}\cdot \vec{v} = \left(\begin{array}{ccc}
 #       \frac{\partial y_{1}}{\partial x_{1}} & \cdots & \frac{\partial y_{m}}{\partial x_{1}}\\
 #       \vdots & \ddots & \vdots\\
 #       \frac{\partial y_{1}}{\partial x_{n}} & \cdots & \frac{\partial y_{m}}{\partial x_{n}}
@@ -199,7 +199,7 @@
 #       \frac{\partial l}{\partial y_{1}}\\
 #       \vdots\\
 #       \frac{\partial l}{\partial y_{m}}
-#       \end{array}\right) = m \cdot \left(\begin{array}{c}
+#       \end{array}\right) = \left(\begin{array}{c}
 #       \frac{\partial l}{\partial x_{1}}\\
 #       \vdots\\
 #       \frac{\partial l}{\partial x_{n}}