a bit of readme

README.md

@@ -133,7 +133,7 @@ Note:
 You can also load the trained model weights and finetune from it, like this:
 ```
 $ export CUDA_VISIBLE_DEVICES=0,1
-$ python -m torch.distributed.launch --nproc_per_node=2 tools/train_amp.py --finetune-from ./res/model_final.pth --config ./configs/bisenetv2_city.py # or bisenetv1
+$ torchrun --nproc_per_node=2 tools/train_amp.py --finetune-from ./res/model_final.pth --config ./configs/bisenetv2_city.py # or bisenetv1
 ```
 
 
@@ -142,6 +142,10 @@ You can also evaluate a trained model like this:
 ```
 $ python tools/evaluate.py --config configs/bisenetv1_city.py --weight-path /path/to/your/weight.pth
 ```
+or you can use multi gpus:  
+```
+$ torchrun --nproc_per_node=2 tools/evaluate.py --config configs/bisenetv1_city.py --weight-path /path/to/your/weight.pth
+```
 
 
 ### Be aware that this is the refactored version of the original codebase. You can go to the `old` directory for original implementation if you need, though I believe you will not need it.