[tmva][sofie] Make SOFIE Keras tutorials dependent on Keras version

The same was already done for the Keras unit tests when PyMVA and SOFIE
were disentangled, but the same thing also has to be done for the
tutorials.

Author: guitargeek

tutorials/CMakeLists.txt

@@ -345,24 +345,43 @@ else()
   ROOT_FIND_PYTHON_MODULE(keras)
   ROOT_FIND_PYTHON_MODULE(sonnet)
   ROOT_FIND_PYTHON_MODULE(graph_nets)
+
+  # Check if we support the installed Keras version. Otherwise, veto SOFIE
+  # Keras tutorials. This mirrors the logic in tmva/sofie/test/CMakeLists.txt.
+  # TODO: make sure we also support the newest Keras
+  set(unsupported_keras_version "3.5.0")
+  if (NOT DEFINED ROOT_KERAS_VERSION)
+    message(WARNING "Keras found, but version unknown — cannot verify compatibility.")
+  elseif (NOT ROOT_KERAS_VERSION VERSION_LESS ${unsupported_keras_version})
+      message(WARNING "Keras version ${ROOT_KERAS_VERSION} is too new for the SOFIE Keras parser (only supports < ${unsupported_keras_version}). Corresponding tutorials will not be tested.")
+    set(keras_unsupported TRUE)
+  endif()
+
   if (NOT BLAS_FOUND)
     list(APPEND tmva_veto machine_learning/TMVA_SOFIE_GNN_Application.C)
     list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RDataFrame.C)
     list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RSofieReader.C)
   endif()
-  if (NOT tmva-sofie OR NOT ROOT_KERAS_FOUND)
+  if (NOT tmva-sofie OR NOT ROOT_KERAS_FOUND OR keras_unsupported)
     list(APPEND tmva_veto machine_learning/TMVA_SOFIE_Keras.C)
+    list(APPEND tmva_veto machine_learning/TMVA_SOFIE_Models.py)
     list(APPEND tmva_veto machine_learning/TMVA_SOFIE_Keras_HiggsModel.C)
     list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RDataFrame.C)
     list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RDataFrame_JIT.C)
     list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RSofieReader.C)
   endif()
+  if (NOT tmva-pymva)
+    # These SOFIE tutorials take models trained via PyMVA-PyKeras as input
+    list(APPEND tmva_veto machine_learning/TMVA_SOFIE_Keras_HiggsModel.C)
+    list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RDataFrame.C)
+    list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RDataFrame.py)
+    list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RSofieReader.C)
+  endif()
   if (NOT tmva-sofie OR NOT ROOT_TORCH_FOUND)
     list(APPEND tmva_veto machine_learning/TMVA_SOFIE_PyTorch.C)
   endif()
   if (NOT tmva-sofie)
     list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RDataFrame.py)
-    list(APPEND tmva_veto machine_learning/TMVA_SOFIE_Models.py)
     list(APPEND tmva_veto machine_learning/TMVA_SOFIE_Inference.py)
   endif()
   #veto this tutorial since it is added directly