W1030 11:09:10.318000 1 torch/distributed/run.py:874] 
W1030 11:09:10.318000 1 torch/distributed/run.py:874] *****************************************
W1030 11:09:10.318000 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. 
W1030 11:09:10.318000 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: 2.310983
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.974922
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.983489
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.019377
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.873796
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.710950
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.671406
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.769016
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.538124
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.616426
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.412994
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.513374
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.419140
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.612086
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.451543
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.522502
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.466820
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.413095
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.341192
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.421739
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.414090
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.546098
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.509192
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.318257
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.437444
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.278846
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.438400
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.309376
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.336299
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.306705
Training is finished