f448c24dc7b096a2041b699ce1bcb72cf287144b,GPflow/param.py,Param,compile,#Param#Any#,330

Before Change

        
        session = session_manager.get_session(session)
        with session.as_default():
            if is_tensorflow_variable(self._variable):
                return self._variable


    def build_prior(self):
        
        Build a tensorflow representation of the prior density.
        The log Jacobian is included.

After Change

        
        Compile a tensorflow representation of the parameter.
        
        if self.is_compiled:
            try:
                get_tensor_by_name(self._tensor.name, graph=graph)
                return
            except GPflowError:
                raise GPflowError("Attempt to run compile with different graph.")

        graph = self.root.session.graph if graph is None else graph
        if not self._externally_defined:
            self._tensor = self._build_tensor(graph)
        self._build_prior(graph)

Instances