W1102 22:32:27.908000 1 torch/distributed/run.py:874] 
W1102 22:32:27.908000 1 torch/distributed/run.py:874] *****************************************
W1102 22:32:27.908000 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. 
W1102 22:32:27.908000 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/sharedUsing dataset from shared PVC at /mnt/shared

Train Epoch: 1 [0/60000 (0%)]	Loss: 2.298000
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.846067
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.126828
Train Epoch: 1 [3000/60000 (20%)]	Loss: 2.133438
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.609154
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.920185
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.748472
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.828817
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.558116
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.692463
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.441649
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.572304
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.446230
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.612080
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.433403
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.524271
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.469544
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.425347
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.410888
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.466313
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.515919
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.527698
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.525358
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.378261
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.463040
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.334958
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.384540
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.358314
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.410191
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.302877
Training is finished