W1102 09:45:18.510000 1 torch/distributed/run.py:874] 
W1102 09:45:18.510000 1 torch/distributed/run.py:874] *****************************************
W1102 09:45:18.510000 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 09:45:18.510000 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/shared
Using dataset from shared PVC at /mnt/shared
Train Epoch: 1 [0/60000 (0%)]	Loss: 2.298190
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.604622
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.785786
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.212462
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.884431
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.689396
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.723062
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.719561
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.522942
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.552877
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.413481
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.545762
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.448189
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.563868
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.412412
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.494046
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.438999
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.422147
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.354199
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.472247
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.294171
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.552358
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.568334
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.350656
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.412364
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.317918
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.373812
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.396493
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.392810
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.295841
Training is finished