W1104 03:24:14.281000 1 torch/distributed/run.py:874] 
W1104 03:24:14.281000 1 torch/distributed/run.py:874] *****************************************
W1104 03:24:14.281000 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. 
W1104 03:24:14.281000 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: 2.307643
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.607812
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.431158
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.187097
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.914896
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.678485
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.730931
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.770915
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.485117
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.564552
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.425455
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.546969
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.440693
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.616247
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.436262
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.522526
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.426175
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.494223
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.321680
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.426169
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.402932
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.500001
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.490842
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.342865
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.460758
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.331455
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.401247
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.308114
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.323374
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.315240
Training is finished