W1031 13:20:55.689000 1 torch/distributed/run.py:851] 
W1031 13:20:55.689000 1 torch/distributed/run.py:851] *****************************************
W1031 13:20:55.689000 1 torch/distributed/run.py:851] 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. 
W1031 13:20:55.689000 1 torch/distributed/run.py:851] *****************************************
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: 2.302340
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.915588
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.951827
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.558424
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.855369
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.865366
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.787873
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.856324
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.484378
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.610479
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.396351
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.461476
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.457438
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.584209
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.412306
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.506281
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.424659
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.450444
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.311605
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.384921
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.323043
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.529112
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.529589
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.334968
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.382584
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.262031
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.347102
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.325355
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.318753
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.273543
Training is finished