W1102 22:19:35.753000 1 torch/distributed/run.py:851] 
W1102 22:19:35.753000 1 torch/distributed/run.py:851] *****************************************
W1102 22:19:35.753000 1 torch/distributed/run.py:851] 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 22:19:35.753000 1 torch/distributed/run.py:851] *****************************************
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: 2.301076
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.989139
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.871420
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.949260
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.811786
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.941212
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.799341
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.827330
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.597434
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.713145
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.467648
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.623159
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.505266
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.550976
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.510726
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.574235
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.491543
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.450794
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.380650
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.489733
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.416205
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.596459
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.562802
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.404917
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.541023
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.335251
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.464752
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.333562
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.347165
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.331927
Training is finished