W1023 04:10:44.149000 1 torch/distributed/run.py:874] 
W1023 04:10:44.149000 1 torch/distributed/run.py:874] *****************************************
W1023 04:10:44.149000 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. 
W1023 04:10:44.149000 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/shared
Using dataset from shared PVC at /mnt/shared
Train Epoch: 1 [0/60000 (0%)]	Loss: 2.303642
Train Epoch: 1 [1000/60000 (7%)]	Loss: 2.041021
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.177464
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.618907
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.123514
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.790678
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.700863
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.728214
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.500510
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.623691
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.374186
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.493790
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.449228
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.472200
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.488852
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.520867
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.410515
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.491099
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.311137
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.395999
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.404434
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.507730
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.549229
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.284400
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.388193
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.275778
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.400973
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.288587
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.346585
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.304414
Training is finished