W1030 07:08:44.837000 1 torch/distributed/run.py:874] 
W1030 07:08:44.837000 1 torch/distributed/run.py:874] *****************************************
W1030 07:08:44.837000 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 07:08:44.837000 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: 2.306760
Train Epoch: 1 [1000/60000 (7%)]	Loss: 1.896654
Train Epoch: 1 [2000/60000 (13%)]	Loss: 2.140329
Train Epoch: 1 [3000/60000 (20%)]	Loss: 2.231550
Train Epoch: 1 [4000/60000 (27%)]	Loss: 1.648578
Train Epoch: 1 [5000/60000 (33%)]	Loss: 1.285753
Train Epoch: 1 [6000/60000 (40%)]	Loss: 1.051960
Train Epoch: 1 [7000/60000 (47%)]	Loss: 0.888489
Train Epoch: 1 [8000/60000 (53%)]	Loss: 0.615730
Train Epoch: 1 [9000/60000 (60%)]	Loss: 0.695005
Train Epoch: 1 [10000/60000 (67%)]	Loss: 0.517069
Train Epoch: 1 [11000/60000 (73%)]	Loss: 0.614525
Train Epoch: 1 [12000/60000 (80%)]	Loss: 0.521316
Train Epoch: 1 [13000/60000 (87%)]	Loss: 0.754592
Train Epoch: 1 [14000/60000 (93%)]	Loss: 0.490824
Train Epoch: 2 [0/60000 (0%)]	Loss: 0.600211
Train Epoch: 2 [1000/60000 (7%)]	Loss: 0.474803
Train Epoch: 2 [2000/60000 (13%)]	Loss: 0.447371
Train Epoch: 2 [3000/60000 (20%)]	Loss: 0.477243
Train Epoch: 2 [4000/60000 (27%)]	Loss: 0.540997
Train Epoch: 2 [5000/60000 (33%)]	Loss: 0.529158
Train Epoch: 2 [6000/60000 (40%)]	Loss: 0.720343
Train Epoch: 2 [7000/60000 (47%)]	Loss: 0.624451
Train Epoch: 2 [8000/60000 (53%)]	Loss: 0.397648
Train Epoch: 2 [9000/60000 (60%)]	Loss: 0.473675
Train Epoch: 2 [10000/60000 (67%)]	Loss: 0.347164
Train Epoch: 2 [11000/60000 (73%)]	Loss: 0.492030
Train Epoch: 2 [12000/60000 (80%)]	Loss: 0.364578
Train Epoch: 2 [13000/60000 (87%)]	Loss: 0.461615
Train Epoch: 2 [14000/60000 (93%)]	Loss: 0.382522
Training is finished