From 679036215eddf0046cc5c98c45e8f20dce7575c7 Mon Sep 17 00:00:00 2001
From: ZZZJ <3056485198@qq.com>
Date: Tue, 11 Nov 2025 18:46:54 +0800
Subject: [PATCH] fixes

---
 S1/27/prompt.txt | 1 -
 1 file changed, 1 deletion(-)

diff --git a/S1/27/prompt.txt b/S1/27/prompt.txt
index 1fe9020..b827a86 100644
--- a/S1/27/prompt.txt
+++ b/S1/27/prompt.txt
@@ -5,7 +5,6 @@ You have complete freedom to choose the set of operators you want to replace. Yo
 Here's an example to show you the syntax of inline embedding custom CUDA operators in torch: The example given architecture is:   
   
 ```python
-# cosineloss_torch.py
 import torch
 import torch.nn as nn
 import torch.nn.functional as F