Can TVM be uesed to optimize a decision-tree model?


I saw most of the examples introducing TVM is convolutional layers and operators. I wonder whether it can be used in optimizing and accelerating other machine learning models on different hardware backends like decision_tree, VAE, Gan, Deep Gaussian Network and so on…, which are build by tensorflow or pytorch?
Thank you.