W1023 03:15:14.127000 1 torch/distributed/run.py:874] 
W1023 03:15:14.127000 1 torch/distributed/run.py:874] *****************************************
W1023 03:15:14.127000 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. 
W1023 03:15:14.127000 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: 2.302151
Train Epoch: 1 [1000/60000 (7%)]	Loss: 2.077719
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.855201
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.164515
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.776553
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.731858
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.811375
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.676340
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.463455
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.547454
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.423377
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.531060
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.430919
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.499005
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.393744
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.500241
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.411453
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.378875
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.315066
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.416217
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.310611
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.566871
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.489017
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.329307
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.384898
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.280539
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.354646
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.265931
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.376638
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.253656
Training is finished