Utilities for efficiently working with, saving, and loading, collections of connected nested ragged tensors in PyTorch
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If a set of tensors is empty, the pipeline should either do something more intelligent (such as drop that tensor) or error gracefully. #12
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mmcdermott closed 1 month ago
Currently, it throws an error about an index out of bounds during an access to
T[0]
ininitialize_tensors