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Image classification examples are available here.
Benchmarks
TensorRT is still an experimental feature, so benchmarks are likely to improve over time. As of Oct 11, 2018 we've measured the following improvements which have all been run with FP32 weighted networks.
Model Name | Relative TensorRT Speedup | Hardware |
---|---|---|
cifar_resnet20_v2 | 1.21x | Titan V |
cifar_resnext29_16x64d | 1.26x | Titan V |
Resnet 18 | 1.8x | Titan V |
Resnet 18 | 1.54x | Jetson TX1 |
Related articles
https://mxnet.incubator.apache.org/tutorials/tensorrt/inference_with_trt.html
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