W1102 22:18:40.485000 1 torch/distributed/run.py:851] 
W1102 22:18:40.485000 1 torch/distributed/run.py:851] *****************************************
W1102 22:18:40.485000 1 torch/distributed/run.py:851] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
W1102 22:18:40.485000 1 torch/distributed/run.py:851] *****************************************
Using Device: cpu, Backend: gloo
Using Device: cpu, Backend: gloo
Distributed Training for WORLD_SIZE: 4, RANK: 0, LOCAL_RANK: 0
Distributed Training for WORLD_SIZE: 4, RANK: 1, LOCAL_RANK: 1
Using dataset from shared PVC at /mnt/sharedUsing dataset from shared PVC at /mnt/shared

Train Epoch: 1 [0/60000 (0%)]	Loss: 2.298593
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.712421
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.250990
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.881115
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.775823
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.686892
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.763796
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.705081
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.447488
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.591811
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.373596
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.541177
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.438810
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.534899
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.411339
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.498498
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.466428
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.487230
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.349667
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.394162
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.429137
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.560344
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.626279
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.313677
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.358234
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.298493
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.394850
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.294241
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.455316
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.317560
Training is finished