W1023 04:09:46.227000 1 torch/distributed/run.py:874] 
W1023 04:09:46.227000 1 torch/distributed/run.py:874] *****************************************
W1023 04:09:46.227000 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. 
W1023 04:09:46.227000 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: 2.305188
Train Epoch: 1 [1000/60000 (7%)]	Loss: 2.087902
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.214814
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.050454
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.975614
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.897077
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.778125
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.743457
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.546389
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.654745
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.409524
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.593126
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.459945
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.546351
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.516837
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.504350
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.500100
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.447184
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.389639
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.486909
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.417621
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.494136
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.493064
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.354041
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.410426
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.298996
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.403909
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.304076
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.412085
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.350649
Training is finished