W1103 04:07:19.779000 1 torch/distributed/run.py:874] 
W1103 04:07:19.779000 1 torch/distributed/run.py:874] *****************************************
W1103 04:07:19.779000 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 04:07:19.779000 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: 2.303038
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.976236
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.997163
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.026667
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.486957
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.809811
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.686486
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.755483
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.466114
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.589160
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.423605
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.523294
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.439456
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.594956
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.426982
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.525907
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.489152
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.446573
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.365628
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.463290
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.366832
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.535586
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.493754
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.354168
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.396155
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.338285
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.346750
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.306735
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.378393
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.293869
Training is finished