Fix vision unit tests infra failures

.circleci/config.yml.in

@@ -767,7 +767,7 @@ jobs:
       image: ubuntu-2004-cuda-11.4:202110-01
     resource_class: gpu.nvidia.medium
     environment:
-      image_name: "pytorch/manylinux-cuda116"
+      image_name: "pytorch/manylinux-cuda117"
       CU_VERSION: << parameters.cu_version >>
       PYTHON_VERSION: << parameters.python_version >>
     steps:

.circleci/regenerate.py

@@ -262,6 +262,11 @@ def unittest_workflows(indentation=6):
             if os_type == "linux" and device_type == "cpu":
                 continue
             for i, python_version in enumerate(PYTHON_VERSIONS):
+
+                # Turn off unit tests for 3.11, unit test are not setup properly
+                if python_version == "3.11":
+                    continue
+
                 job = {
                     "name": f"unittest_{os_type}_{device_type}_py{python_version}",
                     "python_version": python_version,
@@ -290,7 +295,7 @@ def cmake_workflows(indentation=6):
 
             job["cu_version"] = "cu117" if device == "gpu" else "cpu"
             if device == "gpu" and os_type == "linux":
-                job["wheel_docker_image"] = "pytorch/manylinux-cuda116"
+                job["wheel_docker_image"] = "pytorch/manylinux-cuda117"
             jobs.append({f"cmake_{os_type}_{device}": job})
     return indent(indentation, jobs)
 

.circleci/unittest/linux/scripts/install.sh

@@ -5,7 +5,7 @@ unset PYTORCH_VERSION
 # so no need to set PYTORCH_VERSION.
 # In fact, keeping PYTORCH_VERSION forces us to hardcode PyTorch version in config.
 
-set -e
+set -ex
 
 eval "$(./conda/bin/conda shell.bash hook)"
 conda activate ./env
@@ -34,7 +34,12 @@ if [ "${os}" == "MacOSX" ]; then
     conda install -y -c "pytorch-${UPLOAD_CHANNEL}" "pytorch-${UPLOAD_CHANNEL}"::pytorch "${cudatoolkit}"
 else
     conda install -y -c "pytorch-${UPLOAD_CHANNEL}" -c nvidia "pytorch-${UPLOAD_CHANNEL}"::pytorch[build="*${version}*"] "${cudatoolkit}"
+
+    # make sure local cuda is set to required cuda version and not CUDA version by default
+    rm -f /usr/local/cuda
+    ln -s /usr/local/cuda-${version} /usr/local/cuda
 fi
 
+
 printf "* Installing torchvision\n"
 python setup.py develop

.circleci/unittest/linux/scripts/setup_env.sh

@@ -5,7 +5,7 @@
 #
 # Do not install PyTorch and torchvision here, otherwise they also get cached.
 
-set -e
+set -ex
 
 this_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
 # Avoid error: "fatal: unsafe repository"
@@ -39,7 +39,7 @@ conda activate "${env_dir}"
 # 3. Install Conda dependencies
 printf "* Installing dependencies (except PyTorch)\n"
 FFMPEG_PIN="=4.2"
-if [[ "${PYTHON_VERSION}" = "3.9" ]]; then
+if [[ "${PYTHON_VERSION}" == "3.9" ]]; then
     FFMPEG_PIN=">=4.2"
 fi
 

.circleci/unittest/windows/scripts/setup_env.sh

@@ -5,7 +5,7 @@
 #
 # Do not install PyTorch and torchvision here, otherwise they also get cached.
 
-set -e
+set -ex
 
 this_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
 root_dir="$(git rev-parse --show-toplevel)"