From 23fdaba14cd684964ae9d9228d352ecdb737a030 Mon Sep 17 00:00:00 2001
From: Xuan Gu <xuan.gu@liu.se>
Date: Wed, 22 Feb 2023 14:34:49 +0000
Subject: [PATCH] Update README.md

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 3024f4d..29149e5 100644
--- a/README.md
+++ b/README.md
@@ -115,3 +115,4 @@ Ref: https://pytorch-lightning.readthedocs.io/en/stable/common/trainer.html
 - Use as large batch_size as possible for a more stable benchmark result. For single node, use 256; for multi-node, use 128.  
 - Benchmarking with dim = 2, nodes = 1, gpus = 8, batch_size = 128, 256 takes ~2mins.  
 - Specify the paths for enroot cache and data, see this [page](https://gitlab.liu.se/xuagu37/run-pytorch-and-tensorflow-containers-with-nvidia-enroot#set-path-to-user-container-storage).
+- For single node case, command ```srun singularity/enroot``` gives slightly worse throughput performance compared with running ```singularity/enroot``` directly.
-- 
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