W1030 07:07:53.820000 1 torch/distributed/run.py:874] 
W1030 07:07:53.820000 1 torch/distributed/run.py:874] *****************************************
W1030 07:07:53.820000 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. 
W1030 07:07:53.820000 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: 2.298616
Train Epoch: 1 [1000/60000 (7%)]	Loss: 2.092556
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.114483
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.732817
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.022847
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.821678
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.690250
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.673688
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.504952
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.580318
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.396073
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.519268
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.431897
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.629664
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.435709
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.509529
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.450071
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.474470
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.300974
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.455621
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.350995
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.539209
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.494003
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.330459
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.445220
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.354752
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.374786
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.316732
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.357660
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.294605
Training is finished