W1102 19:25:50.157000 1 torch/distributed/run.py:874] 
W1102 19:25:50.157000 1 torch/distributed/run.py:874] *****************************************
W1102 19:25:50.157000 1 torch/distributed/run.py:874] 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 19:25:50.157000 1 torch/distributed/run.py:874] *****************************************
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: 2.303412
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.991369
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.218504
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.269934
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.038034
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.806582
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.698168
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.793804
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.536713
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.684077
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.435495
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.603028
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.469018
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.589024
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.467052
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.537999
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.422611
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.488114
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.412366
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.419108
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.477717
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.530840
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.557390
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.337112
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.378797
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.263913
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.411250
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.379286
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.430434
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.386826
Training is finished