W1104 04:47:18.684000 1 torch/distributed/run.py:874] 
W1104 04:47:18.684000 1 torch/distributed/run.py:874] *****************************************
W1104 04:47:18.684000 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. 
W1104 04:47:18.684000 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: 2.298428
Train Epoch: 1 [1000/60000 (7%)]	Loss: 2.072604
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.239299
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.141594
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.022501
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.773771
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.764806
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.634455
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.483223
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.648813
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.403377
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.552083
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.450227
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.594209
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.486271
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.542272
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.392329
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.483707
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.351527
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.467192
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.330150
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.542352
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.437752
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.321786
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.418508
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.303479
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.363692
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.312788
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.363030
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.308832
Training is finished