W1102 12:31:49.114000 1 torch/distributed/run.py:874] 
W1102 12:31:49.114000 1 torch/distributed/run.py:874] *****************************************
W1102 12:31:49.114000 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 12:31:49.114000 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: 2.308063
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.725161
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.176490
Train Epoch: 1 [3000/60000 (20%)]	Loss: 1.620200
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.034871
Train Epoch: 1 [5000/60000 (33%)]	Loss: 0.804311
Train Epoch: 1 [6000/60000 (40%)]	Loss: 0.787648
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.692924
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.468319
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.580497
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.397347
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.526237
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.451120
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.555983
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.456994
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.492605
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.418071
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.487922
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.365374
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.477025
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.371008
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.560031
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.548851
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.358501
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.417027
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.306895
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.403871
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.373470
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.366022
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.280003
Training is finished