W1102 22:55:58.180000 1 torch/distributed/run.py:874] 
W1102 22:55:58.180000 1 torch/distributed/run.py:874] *****************************************
W1102 22:55:58.180000 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 22:55:58.180000 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: 2.297954
Train Epoch: 1 [1000/60000 (7%)]	Loss: 2.038011
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.140055
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.083240
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.931984
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.723814
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.675743
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.635056
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.475899
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.540967
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.387815
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.530299
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.428455
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.486605
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.394248
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.490291
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.403030
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.406331
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.307625
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.471942
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.307693
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.521458
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.463263
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.297341
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.380944
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.297766
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.347333
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.274513
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.341553
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.277472
Training is finished