W1030 07:17:13.032000 1 torch/distributed/run.py:874] 
W1030 07:17:13.032000 1 torch/distributed/run.py:874] *****************************************
W1030 07:17:13.032000 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 07:17:13.032000 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: 2.291169
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.380052
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.229569
Train Epoch: 1 [3000/60000 (20%)]	Loss: 2.087118
Train Epoch: 1 [4000/60000 (27%)]	Loss: 2.241795
Train Epoch: 1 [5000/60000 (33%)]	Loss: 2.312996
Train Epoch: 1 [6000/60000 (40%)]	Loss: 2.302742
Train Epoch: 1 [7000/60000 (47%)]	Loss: 2.297674
Train Epoch: 1 [8000/60000 (53%)]	Loss: 2.308124
Train Epoch: 1 [9000/60000 (60%)]	Loss: 2.312730
Train Epoch: 1 [10000/60000 (67%)]	Loss: 2.302623
Train Epoch: 1 [11000/60000 (73%)]	Loss: 2.299404
Train Epoch: 1 [12000/60000 (80%)]	Loss: 2.302253
Train Epoch: 1 [13000/60000 (87%)]	Loss: 2.302708
Train Epoch: 1 [14000/60000 (93%)]	Loss: 2.297824
Train Epoch: 2 [0/60000 (0%)]	Loss: 2.299416
Train Epoch: 2 [1000/60000 (7%)]	Loss: 2.303470
Train Epoch: 2 [2000/60000 (13%)]	Loss: 2.307657
Train Epoch: 2 [3000/60000 (20%)]	Loss: 2.303949
Train Epoch: 2 [4000/60000 (27%)]	Loss: 2.295098
Train Epoch: 2 [5000/60000 (33%)]	Loss: 2.308641
Train Epoch: 2 [6000/60000 (40%)]	Loss: 2.300920
Train Epoch: 2 [7000/60000 (47%)]	Loss: 2.298903
Train Epoch: 2 [8000/60000 (53%)]	Loss: 2.309792
Train Epoch: 2 [9000/60000 (60%)]	Loss: 2.298277
Train Epoch: 2 [10000/60000 (67%)]	Loss: 2.303637
Train Epoch: 2 [11000/60000 (73%)]	Loss: 2.298733
Train Epoch: 2 [12000/60000 (80%)]	Loss: 2.302046
Train Epoch: 2 [13000/60000 (87%)]	Loss: 2.304951
Train Epoch: 2 [14000/60000 (93%)]	Loss: 2.297835
Training is finished