Automatically Flatten & Unflatten Nested Containers
Read OriginalThis technical article discusses the need for bidirectional conversion between nested data structures (like dicts, lists, custom classes) and flat lists of tensors in deep learning frameworks like TensorFlow, JAX, and PyTorch. It explains why nested containers are useful abstractions for complex models and compares how different libraries implement similar flattening/unflattening utilities to bridge high-level model code with low-level system interfaces.
Automatically Flatten & Unflatten Nested Containers
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