W1103 13:25:19.956000 1 torch/distributed/run.py:874] 
W1103 13:25:19.956000 1 torch/distributed/run.py:874] *****************************************
W1103 13:25:19.956000 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 13:25:19.956000 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: 2.307306
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.529632
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.767696
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.238528
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.868303
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.647511
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.729530
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.629830
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.433136
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.580601
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.394585
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.522614
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.479691
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.531461
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.434972
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.495159
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.454348
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.470757
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.321238
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.471672
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.367303
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.563059
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.506511
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.266898
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.365605
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.290397
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.365026
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.319503
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.350930
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.290739
Training is finished