Handling Variable-Length Sequences with Packing and Padding in PyTorch RNNs
Processing variable-length sequences through Recurrent Neural Networks (RNNs) requires special handling. PyTorch provides two key functions for this: pack_padded_sequence and pad_packed_sequence. The core concept involves transforming padded batch tensors into a packed format for efficient RNN computation and then restoring the batch structure. ...
Posted on Tue, 20 Oct 2026 16:03:17 +0000 by NovaHaCker