DLPack defines a standardized tensor format that allows different deep learning frameworks to share tensors and operators. It is designed as a common bridge specification rather than an implementation, enabling frameworks like PyTorch, MXNet, TensorFlow and others to interoperate. The project provides C++ headers that define the stable tensor interface, with additional experimental code in the contrib directory.