I am a newbie about the dockers and containers. I checked a few images for containers in nvidia catalog but the configuration I want is not available.
What I want to have is similar to l4t-ml:r32.5.0-py3 but rather than using Tensorflow 1.15, I want to use Tensorflow 2.3.1 as in the l4t-tensorflow:r32.5.0-tf2.3-py3. I decided to build my own image, however, I got confused while checking it. Is there anybody that can point to a nice and easy to follow tutorial, possibly for jetson nano or explain to me how to do that?
l4t-ml:r32.5.0-py3 TensorFlow 1.15 PyTorch v1.7.0 torchvision v0.8.0 torchaudio v0.7.0 onnx 1.8.0 CuPy 8.0.0 numpy 1.19.4 numba 0.52.0 OpenCV 4.4.1 pandas 1.1.5 scipy 1.5.4 scikit-learn 0.23.2 JupyterLab 2.2.9