Update PyTorch to previous stable

.devcontainer/onCreateCommand.sh

@@ -6,4 +6,4 @@ pip install wheel
 pip install openvino-dev==2023.0.1 # [OPTIONAL] to generate optimized models for inference
 pip install mlcube_docker          # [OPTIONAL] to deploy GaNDLF models as MLCube-compliant Docker containers
 pip install medmnist==2.1.0
-pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cpu
+pip install torch==2.5.0 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/cpu

.devcontainer/postCreateCommand.sh

@@ -6,7 +6,7 @@
 # if runnning on a GPU machine, install the GPU version of pytorch
 if command -v nvidia-smi &> /dev/null
 then
-	pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cu121
+	pip install torch==2.5.0 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/cu121
 fi
 
 pip install -e .

.github/workflows/dependencies/action.yml

@@ -100,5 +100,5 @@ runs:
           python -m pip install --upgrade pip==24.0
           python -m pip install wheel
           python -m pip install openvino-dev==2023.0.1 mlcube_docker
-          pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cpu
+          pip install torch==2.5.0 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/cpu
           pip install -e .

Dockerfile-CPU

@@ -9,7 +9,7 @@ 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 libpython3.9-dev libffi-dev libgl1
 RUN python3.9 -m pip install --upgrade pip==24.0
 # EXPLICITLY install cpu versions of torch/torchvision (not all versions have +cpu modes on PyPI...)
-RUN python3.9 -m pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cpu
+RUN python3.9 -m pip install torch==2.5.0 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/cpu
 RUN python3.9 -m pip install openvino-dev==2023.0.1 opencv-python-headless mlcube_docker
 
 # Do some dependency installation separately here to make layer caching more efficient

Dockerfile-CUDA11.8

@@ -12,7 +12,7 @@ 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 libpython3.9-dev libffi-dev libgl1
 RUN python3.9 -m pip install --upgrade pip==24.0
-RUN python3.9 -m pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cu118
+RUN python3.9 -m pip install torch==2.5.0 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/cu118
 RUN python3.9 -m pip install openvino-dev==2023.0.1 opencv-python-headless mlcube_docker
 
 # Do some dependency installation separately here to make layer caching more efficient

Dockerfile-CUDA12.1

@@ -12,7 +12,7 @@ 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 libpython3.9-dev libffi-dev libgl1
 RUN python3.9 -m pip install --upgrade pip==24.0
-RUN python3.9 -m pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cu121
+RUN python3.9 -m pip install torch==2.5.0 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/cu121
 RUN python3.9 -m pip install openvino-dev==2023.0.1 opencv-python-headless mlcube_docker
 
 # Do some dependency installation separately here to make layer caching more efficient

Dockerfile-ROCm

@@ -10,7 +10,7 @@ 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 libpython3.9-dev libffi-dev libgl1
 RUN python3.9 -m pip install --upgrade pip==24.0
-RUN python3.9 -m pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/rocm6.0
+RUN python3.9 -m pip install torch==2.5.0 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/rocm6.0
 RUN python3.9 -m pip install --upgrade pip && python3.9 -m pip install openvino-dev==2023.0.1 opencv-python-headless mlcube_docker
 RUN apt-get update && apt-get install -y libgl1
 

docs/setup.md

@@ -36,7 +36,7 @@ You may install pytorch to be compatible with CUDA, ROCm, or CPU-only. An exhaus
 Use one of the following depending on your needs:
 - CUDA 12.1
 ```bash
-(venv_gandlf) $> pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cu121
+(venv_gandlf) $> pip install torch==2.5.0 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/cu121
 ```
 
 ### Optional Dependencies 

setup.py

@@ -37,7 +37,7 @@
 # specifying version for `black` separately because it is also used to [check for lint](https://github.com/mlcommons/GaNDLF/blob/master/.github/workflows/black.yml)
 black_version = "23.11.0"
 requirements = [
-    "torch==2.4.1",
+    "torch==2.5.0",
     f"black=={black_version}",
     "numpy==1.25.0",
     "scipy",