Closed benjmerales closed 9 months ago
@benjmerales,
pip install
will not give you CUDA acceleration.
I'm afraid, it's even worse.
Jetson Nano can't support TensorFlow > 2.4.1. with CUDA, as these TF versions need CUDA 11, which can't be installed on the nano due to low-level incompatibility.
Bummer. Guess my only solution now is to create a new model that can support TensorFlow 2.4.1, huh.
Thanks. Closing this issue now.
I have a saved H5 model that is built on Tensorflow 2.12. I successfully converted it to a compatible TensorRT version. But it seems there are some layers that 2.4 is yet to discover (Keras's keepdims keyword).
Is there right way to install the latest version of Tensorflow? One that can determine the Nano's GPU device. Since normally using
pip install -U tensorflow
will cause TF to restrict the GPU.