split to 2 CI jobs, cpp and python

.github/workflows/main_cpp.yml

@@ -0,0 +1,33 @@
+name: Run Examples
+
+on:
+  push:
+    branches: [ main ]
+  pull_request:
+    branches: [ main ]
+  schedule:
+    # Every day at 3:00am
+    - cron: '0 3 * * *'
+
+
+jobs:
+  test:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python 3.11
+      uses: actions/setup-python@v2
+      with:
+        python-version: 3.11
+
+    - name: Install Cmake, Make, g++, MKL
+      run: |
+        sudo apt update && sudo apt upgrade
+        sudo apt install cmake g++ make
+        sudo apt-get -y install intel-mkl
+    - name: Run Cpp Tests
+      run: |
+        chmod +x ./run_cpp_examples.sh
+        ./run_cpp_examples.sh "get_libtorch,run_all,clean"

.github/workflows/main.yml → .github/workflows/main_python.yml

@@ -12,7 +12,7 @@ on:
 
 jobs:
   test:
-
+    
     runs-on: ubuntu-latest
 
     steps:
@@ -21,16 +21,6 @@ jobs:
       uses: actions/setup-python@v2
       with:
         python-version: 3.8
-
-    - name: Install Cmake, Make, g++, MKL
-      run: |
-        sudo apt update && sudo apt upgrade
-        sudo apt install cmake g++ make
-        sudo apt-get -y install intel-mkl
-    - name: Run Cpp Tests
-      run: |
-        chmod +x ./run_cpp_examples.sh
-        ./run_cpp_examples.sh "get_libtorch,run_all,clean"
 
     - name: Install PyTorch
       run: |
@@ -39,7 +29,7 @@ jobs:
         pip install --pre torch torchvision -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
         # Maybe use the CUDA 10.2 version instead?
         # pip install --pre torch torchvision -f https://download.pytorch.org/whl/nightly/cu102/torch_nightly.html
-    - name: Run Python Tests
+    - name: Run Tests
       run: |
         ./run_python_examples.sh "install_deps,run_all,clean"
     - name: Open issue on failure