W1102 22:33:31.003000 1 torch/distributed/run.py:874] 
W1102 22:33:31.003000 1 torch/distributed/run.py:874] *****************************************
W1102 22:33:31.003000 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. 
W1102 22:33:31.003000 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: 2.304899
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.872973
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.703429
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.404989
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.019139
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.866064
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.779347
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.791444
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.613440
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.630777
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.397197
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.674389
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.455033
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.619159
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.505354
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.577202
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.521779
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.472496
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.322225
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.468163
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.423589
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.608213
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.550082
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.389624
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.531069
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.325423
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.461928
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.323904
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.402834
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.360304
Training is finished