W1030 19:08:57.968000 1 torch/distributed/run.py:874] 
W1030 19:08:57.968000 1 torch/distributed/run.py:874] *****************************************
W1030 19:08:57.968000 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. 
W1030 19:08:57.968000 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: 2.313281
Train Epoch: 1 [1000/60000 (7%)]	Loss: 2.090676
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.225574
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.763212
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.152300
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.729436
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.758819
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.782079
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.477673
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.608970
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.427904
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.538221
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.438177
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.563916
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.426905
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.485770
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.418758
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.403462
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.366029
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.421572
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.335679
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.505192
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.525045
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.304862
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.399218
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.291449
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.380002
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.346497
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.409539
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.347051
Training is finished