Merge branch 'master' into master

Dockerfile-CPU

@@ -6,7 +6,7 @@ LABEL version=1.0
 # Install fresh Python and dependencies for build-from-source
 RUN apt-get update && apt-get install -y software-properties-common
 RUN add-apt-repository ppa:deadsnakes/ppa
-RUN apt-get update && apt-get install -y python3.9 python3-pip libjpeg8-dev zlib1g-dev python3-dev libpython3.8-dev libffi-dev libgl1
+RUN apt-get update && apt-get install -y python3.9 python3-pip libjpeg8-dev zlib1g-dev python3-dev libpython3.9-dev libffi-dev libgl1
 RUN python3.9 -m pip install --upgrade pip
 # EXPLICITLY install cpu versions of torch/torchvision (not all versions have +cpu modes on PyPI...)
 RUN python3.9 -m pip install torch==1.13.1+cpu torchvision==0.14.1+cpu torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cpu

Dockerfile-CUDA11.6

@@ -10,7 +10,7 @@ ENV DEBIAN_FRONTEND=noninteractive
 # Explicitly install python3.9 (this uses 11.1 for now, as PyTorch LTS 1.8.2 is built against it)
 RUN apt-get update && apt-get install -y software-properties-common
 RUN add-apt-repository ppa:deadsnakes/ppa
-RUN apt-get update && apt-get install -y python3.9 python3-pip libjpeg8-dev zlib1g-dev python3-dev libpython3.8-dev libffi-dev libgl1
+RUN apt-get update && apt-get install -y python3.9 python3-pip libjpeg8-dev zlib1g-dev python3-dev libpython3.9-dev libffi-dev libgl1
 RUN python3.9 -m pip install --upgrade pip
 RUN python3.9 -m pip install torch==1.13.1+cu116 torchvision==0.14.1+cu116 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu116
 RUN python3.9 -m pip install openvino-dev==2023.0.1 opencv-python-headless mlcube_docker

Dockerfile-ROCm

@@ -5,10 +5,10 @@ LABEL version=1.0
 
 # Quick start instructions on using Docker with ROCm: https://github.com/RadeonOpenCompute/ROCm-docker/blob/master/quick-start.md
 
-# The base image contains ROCm, python 3.8 and pytorch already, no need to install those
+# The base image contains ROCm, python 3.9 and pytorch already, no need to install those
 RUN apt-get update && apt-get install -y software-properties-common
 RUN add-apt-repository ppa:deadsnakes/ppa
-RUN apt-get update && apt-get install -y python3.9 python3-pip libjpeg8-dev zlib1g-dev python3-dev libpython3.8-dev libffi-dev libgl1
+RUN apt-get update && apt-get install -y python3.9 python3-pip libjpeg8-dev zlib1g-dev python3-dev libpython3.9-dev libffi-dev libgl1
 RUN python3.9 -m pip install --upgrade pip
 RUN python3.9 -m pip install torch==1.13.1+rocm5.2 torchvision==0.14.1+rocm5.2 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/rocm5.2
 RUN python3.9 -m pip install --upgrade pip && python3.9 -m pip install openvino-dev==2023.0.1 opencv-python-headless mlcube_docker

docs/setup.md

@@ -2,7 +2,7 @@
 
 ## Prerequisites
 
-- Python3 with a preference for [conda](https://conda.io), and python version `3.8` (higher versions *might* work, but they are **untested**).
+- Python3 with a preference for [conda](https://conda.io), and python version `3.9` (higher versions *might* work, but they are **untested**).
 - Knowledge of [managing Python environments](https://docs.python.org/3/tutorial/venv.html). The instructions below assume knowledge of the [conda management system](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html).
 
 Alternatively, you can run GaNDLF via [Docker](https://www.docker.com/). This needs different prerequisites. See the [Docker Installation](#docker-installation) section below for more information. 
@@ -25,7 +25,7 @@ Alternatively, you can run GaNDLF via [Docker](https://www.docker.com/). This ne
 GaNDLF's primary computational foundation is built on PyTorch, and as such it supports all hardware types that PyTorch supports. Please install PyTorch for your hardware type before installing GaNDLF. See the [PyTorch installation instructions](https://pytorch.org/get-started/previous-versions/#v1131) for more details. An example installation using CUDA, ROCm, and CPU-only is shown below:
 
 ```bash
-(base) $> conda create -n venv_gandlf python=3.8 -y
+(base) $> conda create -n venv_gandlf python=3.9 -y
 (base) $> conda activate venv_gandlf
 (venv_gandlf) $> ### subsequent commands go here
 ### PyTorch installation - https://pytorch.org/get-started/previous-versions/#v1131