Hi, I’m having a problem running this notebook with TF NGC container version 20.01-tf2-py3:
I’m getting a segfault when doing inference:
output_dict = model(input_tensor)
But seems to be a TF problem, already adjusted at 2.0 nightly (https://devtalk.nvidia.com/default/topic/1068486/container-tensorflow/segmentation-fault-when-running-tf-detection-tutorial/).
Point is, we do not have a 2.0 + version ready. What would be the most adequate way to them update the framework within this container but also keeping the GPU support?
I’ve tried a naive approach to update
pip install -U --pre tensorflow=="2.*")
But seems that inference is not running on GPU at all, only CPU.