W1103 20:45:58.308000 1 torch/distributed/run.py:874] 
W1103 20:45:58.308000 1 torch/distributed/run.py:874] *****************************************
W1103 20:45:58.308000 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. 
W1103 20:45:58.308000 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: 2.300646
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.970409
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.994352
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.829491
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.928450
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.937666
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.732924
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.785044
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.497136
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.629850
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.469500
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.580546
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.464357
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.571429
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.537030
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.578810
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.529291
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.448299
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.357840
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.527798
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.395864
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.524619
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.584207
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.392149
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.413083
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.306882
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.399735
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.407504
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.420832
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.398171
Training is finished