diff --git a/.github/workflows/python-test.yml b/.github/workflows/python-test.yml
index 035c71edf..534773e2d 100644
--- a/.github/workflows/python-test.yml
+++ b/.github/workflows/python-test.yml
@@ -48,7 +48,7 @@ jobs:
         python -m pip install --upgrade pip
         python -m pip install wheel
         python -m pip install openvino-dev==2022.1.0 mlcube_docker
-        pip install torch==1.13.1+cpu torchvision==0.14.1+cpu torchaudio --extra-index-url https://download.pytorch.org/whl/cpu
+        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
         pip install -e .
     - name: Run generic unit tests
       if: steps.changed-files-specific.outputs.only_modified == 'false' # Run on any non-docs change
diff --git a/Dockerfile-CPU b/Dockerfile-CPU
index eadce16ae..127ffda89 100644
--- a/Dockerfile-CPU
+++ b/Dockerfile-CPU
@@ -7,7 +7,7 @@ LABEL version=1.0
 RUN apt-get update && apt-get install -y python3.8 python3-pip libjpeg8-dev zlib1g-dev python3-dev libpython3.8-dev libffi-dev libgl1
 RUN python3.8 -m pip install --upgrade pip
 # EXPLICITLY install cpu versions of torch/torchvision (not all versions have +cpu modes on PyPI...)
-RUN python3.8 -m pip install torch==1.13.1+cpu torchvision==0.14.1+cpu torchaudio --extra-index-url https://download.pytorch.org/whl/cpu
+RUN python3.8 -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
 RUN python3.8 -m pip install openvino-dev==2022.1.0 opencv-python-headless mlcube_docker
 
 # Do some dependency installation separately here to make layer caching more efficient
diff --git a/Dockerfile-CUDA11.6 b/Dockerfile-CUDA11.6
index be40fa929..05409bb47 100644
--- a/Dockerfile-CUDA11.6
+++ b/Dockerfile-CUDA11.6
@@ -9,7 +9,7 @@ LABEL version=1.0
 # Explicitly install python3.8 (this uses 11.1 for now, as PyTorch LTS 1.8.2 is built against it)
 RUN apt-get update && apt-get install -y python3.8 python3-pip libjpeg8-dev zlib1g-dev python3-dev libpython3.8-dev libffi-dev libgl1
 RUN python3.8 -m pip install --upgrade pip
-RUN python3.8 -m pip install torch==1.13.1+cu116 torchvision==0.14.1+cu116 torchaudio --extra-index-url https://download.pytorch.org/whl/cu116
+RUN python3.8 -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 python3.8 -m pip install openvino-dev==2022.1.0 opencv-python-headless mlcube_docker
 
 # Do some dependency installation separately here to make layer caching more efficient
diff --git a/Dockerfile-ROCm b/Dockerfile-ROCm
index 57eee8bf7..9cf8053fc 100644
--- a/Dockerfile-ROCm
+++ b/Dockerfile-ROCm
@@ -7,7 +7,7 @@ LABEL version=1.0
 
 # The base image contains ROCm, python 3.8 and pytorch already, no need to install those
 RUN python3 -m pip install --upgrade pip
-RUN python3.8 -m pip install torch==1.13.1+rocm5.2 torchvision==0.14.1+rocm5.2 torchaudio --extra-index-url https://download.pytorch.org/whl/rocm5.2
+RUN python3.8 -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 -m pip install --upgrade pip && python3 -m pip install openvino-dev==2022.1.0 opencv-python-headless mlcube_docker
 RUN apt-get update && apt-get install -y libgl1
 
diff --git a/docs/setup.md b/docs/setup.md
index af6b51d22..fe14e80c4 100644
--- a/docs/setup.md
+++ b/docs/setup.md
@@ -29,9 +29,11 @@ conda create -n venv_gandlf python=3.8 -y
 conda activate venv_gandlf
 ### PyTorch installation - https://pytorch.org/get-started/locally
 ## CUDA 11.6
-# pip install torch==1.13.1+cu116 torchvision==0.14.1+cu116 torchaudio --extra-index-url https://download.pytorch.org/whl/cu116
+# 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
+## ROCm
+# 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
 ## CPU-only
-# python3.8 -m pip install torch==1.13.1+cpu torchvision==0.14.1+cpu torchaudio --extra-index-url https://download.pytorch.org/whl/cu116
+# 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
 pip install openvino-dev==2022.1.0 # [OPTIONAL] to generate optimized models for inference
 pip install mlcube_docker # [OPTIONAL] to deploy GaNDLF models as MLCube-compliant Docker containers
 pip install -e .