W1104 04:46:21.495000 1 torch/distributed/run.py:874] 
W1104 04:46:21.495000 1 torch/distributed/run.py:874] *****************************************
W1104 04:46:21.495000 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. 
W1104 04:46:21.495000 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: 2.305799
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.466732
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.015881
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.691724
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.546223
Train Epoch: 1 [5000/60000 (33%)]	Loss: 1.263225
Train Epoch: 1 [6000/60000 (40%)]	Loss: 1.061908
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.933378
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.595739
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.648006
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.513602
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.602839
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.495401
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.638787
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.550049
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.583285
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.515783
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.507613
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.430692
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.557442
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.597718
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.610973
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.513045
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.350103
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.485381
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.329639
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.484183
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.373164
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.439925
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.345431
Training is finished