W1102 22:56:56.940000 1 torch/distributed/run.py:874] 
W1102 22:56:56.940000 1 torch/distributed/run.py:874] *****************************************
W1102 22:56:56.940000 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 22:56:56.940000 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: 2.314556
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.783131
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.999979
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.935896
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.225615
Train Epoch: 1 [5000/60000 (33%)]	Loss: 1.223278
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.820849
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.800711
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.560882
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.666130
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.531055
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.529849
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.472597
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.649083
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.490471
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.604172
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.513433
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.466762
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.425022
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.434912
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.371886
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.581837
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.489926
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.425529
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.460064
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.334214
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.407240
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.390591
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.459360
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.353371
Training is finished