From 35bc2c124607a3f0f41d906e288206a5e1ae02c5 Mon Sep 17 00:00:00 2001
From: Taras Lazariv <taras.lazariv@tu-dresden.de>
Date: Tue, 31 Aug 2021 15:55:22 +0200
Subject: [PATCH] Apply 1 suggestion(s) to 1 file(s)

---
 doc.zih.tu-dresden.de/docs/software/tensorboard.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc.zih.tu-dresden.de/docs/software/tensorboard.md b/doc.zih.tu-dresden.de/docs/software/tensorboard.md
index 94da6e1b0..3310c30ca 100644
--- a/doc.zih.tu-dresden.de/docs/software/tensorboard.md
+++ b/doc.zih.tu-dresden.de/docs/software/tensorboard.md
@@ -10,7 +10,7 @@ The easiest way to use TensorBoard is via [JupyterHub](../access/jupyterhub.md).
 TensorBoard log directory is set to `/tmp/<username>/tf-logs` on the compute node, where Jupyter
 session is running. In order to show your own directory with logs, it can be soft-linked to the
 default folder. Open a "New Launcher" menu (`Ctrl+Shift+L`) and select "Terminal" session. It
-will start new terminal on the respective compute node. Create a directory `/tmp/lazariv/tf-logs`
+will start new terminal on the respective compute node. Create a directory `/tmp/$USER/tf-logs`
 and link it with your log directory
 `ln -s <your-tensorboard-target-directory> <local-tf-logs-directory>`
 
-- 
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