From a24383ee667ac066e88d47333ea7017b543e3d72 Mon Sep 17 00:00:00 2001
From: Daniel Schwartz-Narbonne <danielsn@users.noreply.github.com>
Date: Mon, 9 Dec 2024 14:53:40 -0500
Subject: [PATCH] Update docs/advanced_usage.rst

Co-authored-by: Emmett Butler <723615+emmettbutler@users.noreply.github.com>
---
 docs/advanced_usage.rst | 1 -
 1 file changed, 1 deletion(-)

diff --git a/docs/advanced_usage.rst b/docs/advanced_usage.rst
index 78e01657256..875307098fd 100644
--- a/docs/advanced_usage.rst
+++ b/docs/advanced_usage.rst
@@ -743,7 +743,6 @@ PyTorch Profiling
 
 The PyTorch profiler can be used to trace CPU and GPU events that occur when running inference or training on a PyTorch model.
 The PyTorch profiler as it's `typically used <https://pytorch.org/tutorials/intermediate/tensorboard_profiler_tutorial.html>`__, will output a trace json file to
-
 local disk that can be loaded in a visualization tool like TensorBoard or Perfetto. With the dd-trace-py PyTorch profiler integration, we instrument the `profiler API <https://pytorch.org/docs/stable/_modules/torch/profiler/profiler.html>`__
 to automatically export this data to Datadog for visualization without having to manually copy files between servers.