original_docstring: 
      Utility function to activate the computation of the stress tensor for a model not trained explicitly on
      this property. It is recommended to at least have used forces during training when switching on the stress.
      Moreover, now proper crystal cell (volume > 0) needs to be specified for the molecules.
  
      Args:
          model (schnetpack.atomistic.AtomisticModel): SchNetPack model for which computation of the stress tensor
                                                      should be activated.
          stress (str): Designated name of the stress tensor property used in the model output.
      
docstring: Utility function to activate the computation of the stress tensor for a model not trained explicitly on
  this property. It is recommended to at least have used forces during training when switching on the stress.
  Moreover, now proper crystal cell (volume > 0) needs to be specified for the molecules.
docstring_tokens: Utility function to activate the computation of the stress tensor for a model not trained explicitly on this property . It is recommended to at least have used forces during training when switching on the stress . Moreover now proper crystal cell ( volume > 0 ) needs to be specified for the molecules .
code: def activate_stress_computation(model, stress="stress"):
      """
      Utility function to activate the computation of the stress tensor for a model not trained explicitly on
      this property. It is recommended to at least have used forces during training when switching on the stress.
      Moreover, now proper crystal cell (volume > 0) needs to be specified for the molecules.
  
      Args:
          model (schnetpack.atomistic.AtomisticModel): SchNetPack model for which computation of the stress tensor
                                                      should be activated.
          stress (str): Designated name of the stress tensor property used in the model output.
      """
      # Check for data parallel models
      if hasattr(model, "module"):
          model_module = model.module
          output_modules = model.module.output_modules
      else:
          model_module = model
          output_modules = model.output_modules
  
      # Set stress tensor attribute if not present
      if hasattr(model_module, "requires_stress"):
          model_module.requires_stress = True
          for module in output_modules:
              if hasattr(module, "stress"):
                  module.stress = stress
code_tokens: def activate_stress_computation ( model , stress = "stress" ) : if hasattr ( model , "module" ) : model_module = model . module output_modules = model . module . output_modules else : model_module = model output_modules = model . output_modules if hasattr ( model_module , "requires_stress" ) : model_module . requires_stress = True for module in output_modules : if hasattr ( module , "stress" ) : module . stress = stress
short_docstring: Utility function to activate the computation of the stress tensor for a model not trained explicitly on
  this property.
short_docstring_tokens: Utility function to activate the computation of the stress tensor for a model not trained explicitly on this property .
comment: """
      Utility function to activate the computation of the stress tensor for a model not trained explicitly on
      this property. It is recommended to at least have used forces during training when switching on the stress.
      Moreover, now proper crystal cell (volume > 0) needs to be specified for the molecules.
  
      Args:
          model (schnetpack.atomistic.AtomisticModel): SchNetPack model for which computation of the stress tensor
                                                      should be activated.
          stress (str): Designated name of the stress tensor property used in the model output.
      """$SEP$# Check for data parallel models$SEP$# Set stress tensor attribute if not present