W1103 06:30:43.646000 1 torch/distributed/run.py:874] 
W1103 06:30:43.646000 1 torch/distributed/run.py:874] *****************************************
W1103 06:30:43.646000 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 06:30:43.646000 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/sharedUsing dataset from shared PVC at /mnt/shared

Train Epoch: 1 [0/60000 (0%)]	Loss: 2.302392
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.468685
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.822865
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.621797
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.142617
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.808844
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.817793
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.805972
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.593826
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.621444
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.465898
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.608355
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.542982
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.550924
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.416400
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.579042
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.507685
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.453033
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.361894
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.502460
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.409581
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.570831
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.535976
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.358486
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.500329
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.335550
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.375212
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.337578
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.341855
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.297222
Training is finished