W1103 03:17:18.008000 1 torch/distributed/run.py:874] 
W1103 03:17:18.008000 1 torch/distributed/run.py:874] *****************************************
W1103 03:17:18.008000 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. 
W1103 03:17:18.008000 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: 2.302101
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.947831
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.008616
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.773761
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.264298
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.867472
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.808624
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.843770
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.612515
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.598543
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.475818
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.596176
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.500015
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.597643
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.439873
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.573541
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.490220
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.437561
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.392666
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.537821
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.380177
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.517787
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.503591
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.358926
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.445844
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.319940
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.430007
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.336295
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.457664
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.330219
Training is finished