W1023 03:15:59.883000 1 torch/distributed/run.py:874] 
W1023 03:15:59.883000 1 torch/distributed/run.py:874] *****************************************
W1023 03:15:59.883000 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. 
W1023 03:15:59.883000 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: 2.299631
Train Epoch: 1 [1000/60000 (7%)]	Loss: 2.017726
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.998377
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.769991
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.827926
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.796888
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.735579
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.722711
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.480578
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.580702
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.442217
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.602508
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.449169
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.566777
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.430113
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.582668
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.438847
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.442182
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.384331
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.499268
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.424516
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.569913
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.472952
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.352626
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.453733
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.321001
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.442856
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.298096
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.375630
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.301024
Training is finished