From edb1b56ff5a9bb74bbd220c4fb717b6af6119232 Mon Sep 17 00:00:00 2001
From: Xuan Gu <xuan.gu@liu.se>
Date: Mon, 7 Nov 2022 14:42:44 +0000
Subject: [PATCH] Update README.md

---
 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 14485cc..dab8047 100644
--- a/README.md
+++ b/README.md
@@ -75,22 +75,22 @@ We run 100 iterations for each set of parameters. Please see the results in benc
 **Observation 1**: Ideally, the improvement of throughput would be linear when the number of GPUs increases.  
 In practice, throughtput stays below the ideal curve when the number of gpus increases.
 
-<img src="https://github.com/xuagu37/Benchmark_nnU-Net_for_PyTorch/blob/main/figures/benchmark_throughput_gpus_ideal.png" width="1200">
+<img src="https://gitlab.com/xuagu37/Benchmark_nnU-Net_for_PyTorch/blob/main/figures/benchmark_throughput_gpus_ideal.png" width="1200">
 
 **Observation 2**: when batch_size is small (1, 2, 4, 8), throughput_amp ≈ throughput_tf32;  
 when batch_size is large (16, 32, 64, 128), throughput_amp > throughput_tf32.  
 
-<img src="https://github.com/xuagu37/Benchmark_nnU-Net_for_PyTorch/blob/main/figures/benchmark_throughput_batch_size.png" width="400">
+<img src="https://gitlab.com/xuagu37/Benchmark_nnU-Net_for_PyTorch/blob/main/figures/benchmark_throughput_batch_size.png" width="400">
 
 **Observation 3**: Benchmark results are more stable when larger batch_size.  
 
-<img src="https://github.com/xuagu37/Benchmark_nnU-Net_for_PyTorch/blob/main/figures/benchmark_throughput_cv.png" width="400">
+<img src="https://gitlab.com/xuagu37/Benchmark_nnU-Net_for_PyTorch/blob/main/figures/benchmark_throughput_cv.png" width="400">
 
 Coefficient of variation is calculated as the ratio of the standard deviation to the mean. It shows the extent of variability in relation to the mean of the population. 
 
 **Observation 4**: Ideally, the improvement of throughput would be linear when batch_size increases. In practice, throughtput stays below the ideal curve when batch_size > 16.
 
-<img src="https://github.com/xuagu37/Benchmark_nnU-Net_for_PyTorch/blob/main/figures/benchmark_throughput_batch_size_ideal.png" width="400">
+<img src="https://gitlab.com/xuagu37/Benchmark_nnU-Net_for_PyTorch/blob/main/figures/benchmark_throughput_batch_size_ideal.png" width="400">
 
 
 
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