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+# Distributed-Training-Example
+
+## Developing (not in the docker container)
+
+### Start Downloading
+```
+mkdir ./dataset_dir
+cd ./dataset_dir
+wget https://www.cs.toronto.edu/\~kriz/cifar-10-python.tar.gz
+tar zxvf cifar-10-python.tar.gz
+```
+
+### Start Training
+```
+python3 -m torch.distributed.run \
+    --nproc_per_node=1 \
+    --nnodes=1 \
+    --node_rank=0 \
+    --rdzv_id=21046 \
+    --rdzv_backend=c10d \
+    --rdzv_endpoint=127.0.0.1:21046 \
+    main.py
+```
+
+
+## Testint (in the docker container)
+
+### Start Downloading Image
+```
+mkdir ./dataset_dir
+docker run -it --rm -v ./dataset_dir:/dataset YOUR_IMAGE
+```
+
+### Start Training Image
+```
+docker run -it \
+    --net=host \
+    --runtime=nvidia \
+    --gpus all \
+    -v ./dataset_dir:/dataset \
+    -v ./output:/output \
+    -e GPU_NUM=1 \
+    -e NODE_NUM=2 \
+    -e NODE_RANK=0 \
+    -e MASTER_IP=192.168.1.46 \
+    -e MASTER_PORT=21046  \
+    snsd0805/cifar100-train:v2
+```
+