Hi,
I bought a rtx 2080 but can’t get better results with respect to gtx 1080. Can anybody share terminal output of pytorch official examples with alexnet and vggnet on default setup for the first few iterations. I want to compare with your results.
My computer ryzen 1700x, rtx 2080, 32 gb 2400 mhz ram, and ssd.
python 3.7, pytorch 1.0
Thx in advance.
Mines are as follows
=> creating model ‘alexnet’
Epoch: [0][   0/5005]	Time  3.243 ( 3.243)	Data  1.928 ( 1.928)	Loss 6.9077e+00 (6.9077e+00)	Acc@1   0.00 (  0.00)	Acc@5   0.78 (  0.78)
Epoch: [0][  10/5005]	Time  0.158 ( 0.528)	Data  0.114 ( 0.348)	Loss 6.9093e+00 (6.9078e+00)	Acc@1   0.00 (  0.11)	Acc@5   0.00 (  0.50)
Epoch: [0][  20/5005]	Time  1.449 ( 0.529)	Data  1.403 ( 0.402)	Loss 6.9091e+00 (6.9076e+00)	Acc@1   0.00 (  0.07)	Acc@5   0.39 (  0.52)
Epoch: [0][  30/5005]	Time  0.189 ( 0.487)	Data  0.144 ( 0.379)	Loss 6.9086e+00 (6.9076e+00)	Acc@1   0.00 (  0.06)	Acc@5   0.00 (  0.49)
Epoch: [0][  40/5005]	Time  1.364 ( 0.489)	Data  1.319 ( 0.391)	Loss 6.9061e+00 (6.9077e+00)	Acc@1   0.00 (  0.10)	Acc@5   1.17 (  0.56)
Epoch: [0][  50/5005]	Time  0.092 ( 0.466)	Data  0.030 ( 0.373)	Loss 6.9096e+00 (6.9075e+00)	Acc@1   0.00 (  0.11)	Acc@5   0.00 (  0.54)
Epoch: [0][  60/5005]	Time  1.571 ( 0.483)	Data  1.527 ( 0.393)	Loss 6.9081e+00 (6.9076e+00)	Acc@1   0.39 (  0.10)	Acc@5   0.39 (  0.53)
Epoch: [0][  70/5005]	Time  0.092 ( 0.470)	Data  0.000 ( 0.382)	Loss 6.9067e+00 (6.9074e+00)	Acc@1   0.00 (  0.10)	Acc@5   0.39 (  0.57)
Epoch: [0][  80/5005]	Time  1.389 ( 0.478)	Data  1.343 ( 0.391)	Loss 6.9038e+00 (6.9075e+00)	Acc@1   0.00 (  0.10)	Acc@5   0.78 (  0.56)
Epoch: [0][  90/5005]	Time  0.098 ( 0.468)	Data  0.000 ( 0.383)	Loss 6.9005e+00 (6.9073e+00)	Acc@1   0.39 (  0.09)	Acc@5   0.39 (  0.54)
Epoch: [0][ 100/5005]	Time  1.509 ( 0.473)	Data  1.464 ( 0.389)	Loss 6.9101e+00 (6.9069e+00)	Acc@1   0.39 (  0.09)	Acc@5   0.39 (  0.54)
Epoch: [0][ 110/5005]	Time  0.093 ( 0.465)	Data  0.000 ( 0.382)	Loss 6.9029e+00 (6.9068e+00)	Acc@1   0.39 (  0.10)	Acc@5   0.78 (  0.56)