Merge pull request #857 from mlcommons/new-apis_v0.1.0-dev_pytorch221

Update PyTorch dependency

.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==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cpu
+pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --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==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu118
+	pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/cu118
 fi
 
 pip install -e .

.github/workflows/mlcube-test.yml

@@ -72,7 +72,7 @@ jobs:
         python -m pip install --upgrade pip
         python -m pip install wheel
         python -m pip install openvino-dev==2023.0.1 mlcube_docker
-        pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cpu
+        pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/cpu
         pip install -e .
     - name: Run mlcube deploy tests
       working-directory: ./testing

.github/workflows/openfl-test.yml

@@ -72,7 +72,7 @@ jobs:
         sudo apt-get install libvips libvips-tools -y
         python -m pip install --upgrade pip
         python -m pip install wheel
-        pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cpu
+        pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/cpu
         pip install -e .
     - name: Run generic unit tests to download data and construct CSVs
       if: steps.changed-files-specific.outputs.only_modified == 'false' # Run on any non-docs change

.github/workflows/python-test.yml

@@ -73,7 +73,7 @@ jobs:
         python -m pip install --upgrade pip
         python -m pip install wheel
         python -m pip install openvino-dev==2023.0.1 mlcube_docker
-        pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cpu
+        pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/cpu
         pip install -e .
     - name: Run generic unit tests
       if: steps.changed-files-specific.outputs.only_modified == 'false' # Run on any non-docs change

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
 # EXPLICITLY install cpu versions of torch/torchvision (not all versions have +cpu modes on PyPI...)
-RUN python3.9 -m pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cpu
+RUN python3.9 -m pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --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
-RUN python3.9 -m pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu118
+RUN python3.9 -m pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --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
-RUN python3.9 -m pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu121
+RUN python3.9 -m pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --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

@@ -1,4 +1,4 @@
-FROM rocm/pytorch:rocm5.6_ubuntu20.04_py3.8_pytorch_1.12.1
+FROM rocm/pytorch:rocm5.7_ubuntu20.04_py3.9_pytorch_2.0.1
 LABEL github="https://github.com/mlcommons/GaNDLF"
 LABEL docs="https://mlcommons.github.io/GaNDLF/"
 LABEL version=1.0
@@ -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
-RUN python3.9 -m pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/rocm5.6
+RUN python3.9 -m pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/rocm5.7
 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

@@ -30,13 +30,13 @@ GaNDLF's primary computational foundation is built on PyTorch, and as such it su
 (venv_gandlf) $> ### subsequent commands go here
 ### PyTorch installation - https://pytorch.org/get-started/previous-versions/#v210
 ## CUDA 12.1
-# (venv_gandlf) $> pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu121
+# (venv_gandlf) $> pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/cu121
 ## CUDA 11.8
-# (venv_gandlf) $> pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu118
-## ROCm 5.6
-# (venv_gandlf) $> pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/rocm5.6
+# (venv_gandlf) $> pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/cu118
+## ROCm 5.7
+# (venv_gandlf) $> pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/rocm5.7
 ## CPU-only
-# (venv_gandlf) $> pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cpu
+# (venv_gandlf) $> pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/cpu
 ```
 
 ### Optional Dependencies 

setup.py

@@ -71,15 +71,15 @@ def run(self):
 # 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==2.1.2",
+    "torch==2.2.1",
     f"black=={black_version}",
     "numpy==1.25.0",
     "scipy",
     "SimpleITK!=2.0.*",
     "SimpleITK!=2.2.1",  # https://github.com/mlcommons/GaNDLF/issues/536
     "torchvision",
     "tqdm",
-    "torchio==0.19.5",
+    "torchio==0.19.6",
     "pandas>=2.0.0",
     "scikit-learn>=0.23.2",
     "scikit-image>=0.19.1",