W1102 09:44:19.255000 1 torch/distributed/run.py:874] 
W1102 09:44:19.255000 1 torch/distributed/run.py:874] *****************************************
W1102 09:44:19.255000 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. 
W1102 09:44:19.255000 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: 2.309120
Train Epoch: 1 [1000/60000 (7%)]	Loss: 2.133199
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.278420
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.123342
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.817909
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.928669
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.846293
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.884443
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.528500
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.638871
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.495605
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.604388
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.475551
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.615059
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.424939
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.518673
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.410639
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.432983
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.403601
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.451027
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.417143
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.546199
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.535159
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.323455
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.443220
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.345188
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.348549
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.289046
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.389844
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.312449
Training is finished