From 47ce1febb6019572e157d0d7af3a738c3a6f5be0 Mon Sep 17 00:00:00 2001
From: Xuan Gu <xuagu37@gmail.com>
Date: Thu, 20 Oct 2022 13:00:52 +0200
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index a180829..3ea2626 100644
--- a/README.md
+++ b/README.md
@@ -87,7 +87,7 @@ when batch_size is large (16, 32, 64, 128), throughput_amp > throughput_tf32.
 Benchmarking with dim = 2, nodes = 1,2, gpus = 8, batch_size = 128 can be used for node health check.  
 For example, the expected throughput for dim = 2, nodes = 1, gpus = 8, batch_size = 128 would be ? ± ? (TF32) and ? ± ? (AMP).
 
-<img src="https://github.com/xuagu37/Benchmark_nnU-Net_for_PyTorch/blob/main/figures/benchmark_cv_example.png" width="400">
+<img src="https://github.com/xuagu37/Benchmark_nnU-Net_for_PyTorch/blob/main/figures/benchmark_throughput_cv.png" width="400">
 
 - Observation 3: Ideally, the improvement of throughput would be linear when batch_size increases. In practice, throughtput stays below the ideal curve when batch_size > 16.
 
-- 
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