W1031 13:19:59.164000 1 torch/distributed/run.py:851] 
W1031 13:19:59.164000 1 torch/distributed/run.py:851] *****************************************
W1031 13:19:59.164000 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. 
W1031 13:19:59.164000 1 torch/distributed/run.py:851] *****************************************
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: 2.303094
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.654512
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.096557
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.042781
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.896726
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.788828
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.646638
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.706842
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.468930
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.571959
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.414101
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.477582
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.465659
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.487935
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.488698
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.573952
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.405016
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.444381
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.325405
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.473745
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.366053
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.487638
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.530903
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.359378
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.403953
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.278551
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.326561
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.357532
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.352005
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.337519
Training is finished