W1102 12:32:46.216000 1 torch/distributed/run.py:874] 
W1102 12:32:46.216000 1 torch/distributed/run.py:874] *****************************************
W1102 12:32:46.216000 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 12:32:46.216000 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: 2.304040
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.994250
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.871571
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.361232
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.940656
Train Epoch: 1 [5000/60000 (33%)]	Loss: 1.021761
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.939028
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.803055
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.538252
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.659939
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.441668
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.589787
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.557095
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.651698
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.467229
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.561242
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.495055
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.546868
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.404624
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.464761
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.534934
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.566170
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.465396
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.342202
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.509920
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.311664
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.368314
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.420858
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.367803
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.307270
Training is finished