W1104 04:23:43.521000 1 torch/distributed/run.py:874] 
W1104 04:23:43.521000 1 torch/distributed/run.py:874] *****************************************
W1104 04:23:43.521000 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 04:23:43.521000 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: 2.311735
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.890242
Train Epoch: 1 [2000/60000 (13%)]	Loss: 1.788599
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.453423
Train Epoch: 1 [4000/60000 (27%)]	Loss: 0.985737
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.772845
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.720699
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.726938
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.484931
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.543549
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.429390
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.532714
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.492841
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.564863
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.384491
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.472359
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.452244
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.442270
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.298301
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.444020
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.334668
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.527218
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.533448
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.316043
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.366775
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.317643
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.357557
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.338154
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.371104
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.286012
Training is finished