W1030 11:10:01.517000 1 torch/distributed/run.py:874] 
W1030 11:10:01.517000 1 torch/distributed/run.py:874] *****************************************
W1030 11:10:01.517000 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. 
W1030 11:10:01.517000 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: 2.302299
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.568069
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.843282
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.350204
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.891239
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.753309
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.756120
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.672479
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.434062
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.570662
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.391408
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.544583
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.513634
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.546032
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.437739
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.544428
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.456243
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.458046
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.341383
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.526004
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.357298
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.497591
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.436778
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.324536
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.413021
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.285330
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.353268
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.376216
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.400442
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.238822
Training is finished