W1102 10:21:45.491000 1 torch/distributed/run.py:874] 
W1102 10:21:45.491000 1 torch/distributed/run.py:874] *****************************************
W1102 10:21:45.491000 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 10:21:45.491000 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: 2.303994
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.691923
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.590188
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.479849
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.038391
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.802439
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.810750
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.688557
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.447401
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.568069
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.417577
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.488508
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.423348
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.424260
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.316756
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.491657
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.422452
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.473340
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.315231
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.384788
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.341386
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.502167
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.508463
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.317792
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.369319
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.299818
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.354590
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.272705
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.322785
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.285798
Training is finished