From daef3e52e80eaf0befbaca4bf8718ddf7061bff0 Mon Sep 17 00:00:00 2001 From: Svetlana Karslioglu Date: Mon, 12 Sep 2022 08:58:36 -0700 Subject: [PATCH] Update cpp_autograd.rst --- advanced_source/cpp_autograd.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/advanced_source/cpp_autograd.rst b/advanced_source/cpp_autograd.rst index a461f69ecac..d09f877e5a2 100644 --- a/advanced_source/cpp_autograd.rst +++ b/advanced_source/cpp_autograd.rst @@ -5,7 +5,7 @@ The ``autograd`` package is crucial for building highly flexible and dynamic neu networks in PyTorch. Most of the autograd APIs in PyTorch Python frontend are also available in C++ frontend, allowing easy translation of autograd code from Python to C++. -In this tutorial we'll look at several examples of doing autograd in PyTorch C++ frontend. +In this tutorial explore several examples of doing autograd in PyTorch C++ frontend. Note that this tutorial assumes that you already have a basic understanding of autograd in Python frontend. If that's not the case, please first read `Autograd: Automatic Differentiation `_.