My jetson nano’s working information is below:
- SD card image : jetson-nano-sd-r32.1-2019-03-18
- python3.6 + tensorflow
- SD card image has Tensorrt : /usr/src/tensorrt
My DNN model is,
Tensorflow frozen graph : has a tf.slim(). It contained conv2 node has ‘Abs’ operator.
I converted it with Python UFF.
After using TensorRT inference, error occurred.
“ERROR: UFFParser: Parser error: pnet/conv1/Abs: Unary not supported for other non-constant node”
I found answer that error message on this forum, “NVidia: Please wait for our announcement for the future release.”
So, I use custom plugin for UFF parser as TensorRT doucment (4.1.2.Example 2: Adding a Custom Layer that is not supported in UFF Using C++)
- On Jetson nano, no where ‘convert-to-uff’ binary file. How can I get this ?
- If not exist it, must use Python ? and then, Can I use C++ code for inference ?
And, When is the release for ‘Unary not supported…’ ?