#tensors

Explore an effective approach to managing collections of tensors with TensorDict, a PyTorch extension that prioritizes code clarity and execution efficiency. It features seamless composability, rapid asynchronous device transfers, and robust distributed processing. With an easy-to-use interface, TensorDict simplifies operations like indexing and slicing and supports functional programming with torch.vmap. Perfect for building modular, concise code bases, TensorDict aligns with torch.compile for accelerated and secure data transfers, making it a choice tool for developers handling complex training and data processing across multiple devices and workers.