W1031 00:07:32.890000 1 torch/distributed/run.py:874] 
W1031 00:07:32.890000 1 torch/distributed/run.py:874] *****************************************
W1031 00:07:32.890000 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. 
W1031 00:07:32.890000 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: 2.293937
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.586527
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.293537
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.853899
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.608865
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.931277
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.841938
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.869562
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.594390
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.545793
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.452425
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.594755
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.502685
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.615107
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.414656
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.483151
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.521648
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.510594
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.324844
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.487269
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.337734
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.565701
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.491215
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.322473
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.420455
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.302845
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.428494
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.363727
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.410429
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.310303
Training is finished