W1102 22:12:20.451000 1 torch/distributed/run.py:851] 
W1102 22:12:20.451000 1 torch/distributed/run.py:851] *****************************************
W1102 22:12:20.451000 1 torch/distributed/run.py:851] 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. 
W1102 22:12:20.451000 1 torch/distributed/run.py:851] *****************************************
Using Device: cpu, Backend: gloo
Using Device: cpu, Backend: gloo
Distributed Training for WORLD_SIZE: 4, RANK: 1, LOCAL_RANK: 1
Distributed Training for WORLD_SIZE: 4, RANK: 0, LOCAL_RANK: 0
Using dataset from shared PVC at /mnt/sharedUsing dataset from shared PVC at /mnt/shared

Train Epoch: 1 [0/60000 (0%)]	Loss: 2.307294
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.572002
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.062628
Train Epoch: 1 [3000/60000 (20%)]	Loss: 2.308588
Train Epoch: 1 [4000/60000 (27%)]	Loss: 2.053323
Train Epoch: 1 [5000/60000 (33%)]	Loss: 1.056049
Train Epoch: 1 [6000/60000 (40%)]	Loss: 1.990069
Train Epoch: 1 [7000/60000 (47%)]	Loss: 1.269734
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.931292
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.889023
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.701981
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.684998
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.584584
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.598155
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.548956
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.605274
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.543711
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.557703
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.482323
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.535032
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.483416
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.605828
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.554096
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.402144
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.533681
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.342314
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.459212
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.393295
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.408905
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.419381
Training is finished