I want to ask if any have finished running TensorFlow pb file in Jetson nano with TensorFlow c++ API.
Now the new Jetpack provides CUDA 10 and cudnn 7.5.0.
How to compile and build Tensorflow c++? Does anyone have experience? I have read some links below and trying to build on my own. However, until now I did not get success.
It will be very nice, if anyone can provide me any information or install guides.
The only different is that the GPU capacity is different between Nano and Xavier.
The configure for Nano should look like this:
$./configure
...
Please specify the location where CUDA 10.0 toolkit is installed. Refer to README.md for more details. [Default is /usr/local/cuda]:/usr/local/cuda-10.0
Please specify the cuDNN version you want to use. [Leave empty to default to cuDNN 7]:<b>7.5</b>
Please specify a list of comma-separated Cuda compute capabilities you want to build with.
You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus.
Please note that each additional compute capability significantly increases your build time and binary size. [Default is: 3.5,7.0]: <b>5.3</b>