TensorFlow Fold enables creation of TensorFlow models that consume structured data, where the computation graph structure adapts to input structure. It implements dynamic batching, transforming arbitrarily shaped computation graphs into static graphs for efficient execution. The library is particularly suited for recursive neural networks like TreeLSTMs applied to tasks such as sentiment analysis on parse trees of varying shapes and depths.