W1103 13:24:23.350000 1 torch/distributed/run.py:874] 
W1103 13:24:23.350000 1 torch/distributed/run.py:874] *****************************************
W1103 13:24:23.350000 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 13:24:23.350000 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: 2.304560
Train Epoch: 1 [1000/60000 (7%)]	Loss: 2.044466
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.186215
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.314697
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.806494
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.853014
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.750703
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.686901
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.505517
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.579453
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.409856
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.452119
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.450760
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.474522
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.430651
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.481009
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.407610
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.462836
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.282050
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.458963
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.310286
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.508075
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.464288
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.326838
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.304450
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.271624
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.262103
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.324657
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.330890
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.278022
Training is finished