Hello,
I use 1080TI and TITAN V to test this NVIDIA sample code(https://github.com/NVIDIA-Jetson/tf_to_trt_image_classification), TRT 4.0 coat time has same result.
is anyone can help me to explian it?
Thanks a lot.
Hello,
I use 1080TI and TITAN V to test this NVIDIA sample code(https://github.com/NVIDIA-Jetson/tf_to_trt_image_classification), TRT 4.0 coat time has same result.
is anyone can help me to explian it?
Thanks a lot.
Hello, can you clarify what you mean by “TRT 4.0 coat time has same result”?
Hello, i use same Tensorflow official model to tested TRT 4.0 have same cost time in 1080TI and TITAN V, i dont know why.
can you give the specific model you used and performance metrics you are seeing?
thank you,
NVIDIA Enterprise Support
Hello, all model download from tf_to_trt_image_classification/download_models.sh at master · NVIDIA-AI-IOT/tf_to_trt_image_classification · GitHub
Hello,
when running benchmark python scripts/test_trt.py, the timing result will be stored at data/test_output_trt.txt. Can you share the file with us? Is this the performance metric you are saying is the same between T080Ti and TitanV?
Hello,
Yes, that i said issue.
the float result in TitanV:
data/plans/mobilenet_v1_0p25_128.plan 0.710423
data/plans/resnet_v1_50.plan 2.52737
data/plans/mobilenet_v1_1p0_224.plan 1.22464
data/plans/inception_v2.plan 2.37085
data/plans/inception_v3.plan 5.46946
data/plans/resnet_v2_152.plan 8.41234
data/plans/inception_v1.plan 1.44983
data/plans/resnet_v1_152.plan 6.97273
data/plans/inception_v4.plan 11.2623
data/plans/resnet_v1_101.plan 4.89694
data/plans/inception_resnet_v2.plan 9.92916
data/plans/resnet_v2_50.plan 2.97753
data/plans/vgg_16.plan 2.78958
data/plans/resnet_v2_101.plan 5.90988
data/plans/mobilenet_v1_0p5_160.plan 0.774903
the half result in TitanV:
data/plans/mobilenet_v1_0p25_128.plan 0.689513
data/plans/resnet_v1_50.plan 2.53846
data/plans/mobilenet_v1_1p0_224.plan 1.22564
data/plans/inception_v2.plan 2.35924
data/plans/inception_v3.plan 5.53435
data/plans/resnet_v2_152.plan 8.51935
data/plans/inception_v1.plan 1.42204
data/plans/resnet_v1_152.plan 6.95254
data/plans/inception_v4.plan 11.2141
data/plans/resnet_v1_101.plan 4.94806
data/plans/inception_resnet_v2.plan 9.8948
data/plans/resnet_v2_50.plan 2.96348
data/plans/vgg_16.plan 2.83347
data/plans/resnet_v2_101.plan 5.84114
data/plans/mobilenet_v1_0p5_160.plan 0.774131
the float result in 1080TI:
data/plans/mobilenet_v1_0p25_128.plan 0.559485
data/plans/resnet_v1_50.plan 3.02457
data/plans/mobilenet_v1_1p0_224.plan 1.30994
data/plans/inception_v2.plan 2.16442
data/plans/inception_v3.plan 5.91856
data/plans/resnet_v2_152.plan 9.1956
data/plans/inception_v1.plan 1.19595
data/plans/resnet_v1_152.plan 6.38435
data/plans/inception_v4.plan 11.187
data/plans/resnet_v1_101.plan 4.54257
data/plans/inception_resnet_v2.plan 11.6828
data/plans/resnet_v2_50.plan 3.61238
data/plans/vgg_16.plan 4.06281