August 2019
Intermediate to advanced
202 pages
5h 9m
English
Ragged Tensors can also be defined as tensors with one or more ragged dimensions; in other words, dimensions with variable-length slices. As most common use-cases involve dealing with a finite number of records, Ragged Tensors require the outermost dimension to be uniform, in other words, that all slices of that dimension should have the same length. Dimensions preceding the outermost dimension can be both ragged and uniform. To summarize these points, we can state that the shape of a Ragged Tensor is currently restricted to the following form:
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