W1031 00:06:32.895000 1 torch/distributed/run.py:874] 
W1031 00:06:32.895000 1 torch/distributed/run.py:874] *****************************************
W1031 00:06:32.895000 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 00:06:32.895000 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: 2.301443
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.957634
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.982876
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.875385
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.828170
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.850828
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.696061
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.781449
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.491310
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.554698
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.412990
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.471870
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.465626
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.599053
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.472601
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.498873
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.457810
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.397597
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.338792
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.512661
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.378261
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.527037
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.450216
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.340952
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.436318
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.302282
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.359239
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.341570
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.384705
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.327372
Training is finished