W1023 04:08:49.514000 1 torch/distributed/run.py:851] 
W1023 04:08:49.514000 1 torch/distributed/run.py:851] *****************************************
W1023 04:08:49.514000 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. 
W1023 04:08:49.514000 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/sharedUsing dataset from shared PVC at /mnt/shared

Train Epoch: 1 [0/60000 (0%)]	Loss: 2.308924
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.860882
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.948780
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.549904
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.839973
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.739550
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.757828
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.719058
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.467787
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.643748
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.400106
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.503493
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.438409
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.544581
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.434986
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.497171
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.414858
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.418775
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.337471
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.471965
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.383280
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.541350
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.455887
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.329567
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.401735
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.292891
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.359303
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.326436
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.371471
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.273638
Training is finished