deeplearning benchmark 6800XT RoCM 5.4.3

gistfile1.txt

Step    Img/sec total_loss
1       images/sec: 177.0 +/- 0.0 (jitter = 0.0)        7.765
10      images/sec: 179.0 +/- 0.3 (jitter = 1.1)        8.049
20      images/sec: 178.6 +/- 0.3 (jitter = 1.6)        7.808
30      images/sec: 178.7 +/- 0.3 (jitter = 1.6)        7.976
40      images/sec: 178.8 +/- 0.2 (jitter = 1.7)        7.591
50      images/sec: 178.8 +/- 0.2 (jitter = 1.6)        7.549
60      images/sec: 29.6 +/- 4.1 (jitter = 1.7) 7.820
70      images/sec: 33.6 +/- 3.5 (jitter = 1.9) 7.821
80      images/sec: 37.4 +/- 3.1 (jitter = 1.9) 7.847
90      images/sec: 41.0 +/- 2.7 (jitter = 2.0) 8.028
100     images/sec: 44.4 +/- 2.5 (jitter = 2.1) 8.029
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total images/sec: 44.37
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pytorch's vgg16 eval at fp32: 24.5ms avg
pytorch's vgg16 train at fp32: 105.4ms avg
pytorch's resnet152 eval at fp32: 35.0ms avg
pytorch's resnet152 train at fp32: 136.8ms avg
pytorch's densenet161 eval at fp32: 37.8ms avg
pytorch's densenet161 train at fp32: 152.6ms avg

pytorch's vgg16 eval at fp16: 392.6ms avg
pytorch's vgg16 train at fp16: 456.8ms avg
pytorch's resnet152 eval at fp16: 48.4ms avg
pytorch's resnet152 train at fp16: 120.1ms avg
pytorch's densenet161 eval at fp16: 32.8ms avg
pytorch's densenet161 train at fp16: 143.4ms avg