W1030 15:28:11.971000 1 torch/distributed/run.py:874] 
W1030 15:28:11.971000 1 torch/distributed/run.py:874] *****************************************
W1030 15:28:11.971000 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 15:28:11.971000 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: 2.312083
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.969140
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.063385
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.598003
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.030612
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.717892
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.751366
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.764220
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.455177
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.603925
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.434505
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.593792
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.458513
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.558777
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.409894
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.469467
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.468813
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.402365
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.334762
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.473730
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.386582
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.462075
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.487964
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.321124
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.460548
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.302397
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.395316
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.232398
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.320259
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.228716
Training is finished