Fix failing GPU ci (#2759)

* Update config.yml

* Updates in .github/workflows/gpu-tests.yml

Author: vfdev-5

.circleci/config.yml

@@ -4,11 +4,11 @@ parameters:
   pytorch_stable_image:
     type: string
     # https://hub.docker.com/r/pytorch/pytorch/tags
-    default: "pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime"
+    default: "pytorch/pytorch:1.13.0-cuda11.6-cudnn8-runtime"
   pytorch_stable_image_devel:
     type: string
     # https://hub.docker.com/r/pytorch/pytorch/tags
-    default: "pytorch/pytorch:1.12.1-cuda11.3-cudnn8-devel"
+    default: "pytorch/pytorch:1.13.0-cuda11.6-cudnn8-devel"
   workingdir:
     type: string
     default: "/tmp/ignite"

.github/workflows/gpu-tests.yml

@@ -49,16 +49,16 @@ jobs:
             ${{ steps.pip-cache.outputs.dir }}
           key: ${{ steps.get-date.outputs.date }}-pytorch-${{ runner.os }}-3.8-pytorch-${{ hashFiles('requirements-dev.txt') }}
           restore-keys: |
-            ${{ steps.get-date.outputs.date }}-pytorch-${{ runner.os }}--3.8-pytorch-
+            ${{ steps.get-date.outputs.date }}-pytorch-${{ runner.os }}-3.8-pytorch-
 
       - run: pip install pip wheel setuptools -Uqq
 
       - name: Install PyTorch
         # https://pytorch.org/get-started/locally/
         run: |
-          pip install torch torchvision -f https://download.pytorch.org/whl/cu116/torch_stable.html
+          pip install --upgrade torch torchvision -f https://download.pytorch.org/whl/cu116/torch_stable.html
           nvidia-smi
-          python -c "import torch; print('CUDA is available: ', torch.cuda.is_available())"
+          python -c "import torch; print(torch.__version__, ', CUDA is available: ', torch.cuda.is_available())"
 
       - name: Install dependencies
         run: |