W1103 20:47:01.743000 1 torch/distributed/run.py:874] 
W1103 20:47:01.743000 1 torch/distributed/run.py:874] *****************************************
W1103 20:47:01.743000 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. 
W1103 20:47:01.743000 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: 2.298507
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.744532
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.194101
Train Epoch: 1 [3000/60000 (20%)]	Loss: 0.965124
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.990712
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.658370
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.701211
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.670858
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.431068
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.540699
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.375245
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.510578
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.430301
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.502503
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.445748
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.473688
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.404537
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.421258
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.306031
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.474686
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.330444
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.540053
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.497040
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.288857
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.384445
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.282218
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.355768
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.307082
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.333378
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.282776
Training is finished