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Co-authored-by: Carlo Lucibello <carlo.lucibello@gmail.com>
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cossio 2020-06-12 11:45:42 +02:00 committed by cossio
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An object that iterates over mini-batches of `data`, each mini-batch containing `batchsize` observations An object that iterates over mini-batches of `data`, each mini-batch containing `batchsize` observations
(except possibly the last one). (except possibly the last one).
Takes as input a data tensors or a tuple (or `NamedTuple`) of one or more such tensors. Takes as input a single data tensor, or a tuple (or a named tuple) of tensors.
The last dimension in each tensor is considered to be the observation dimension. The last dimension in each tensor is considered to be the observation dimension.
If `shuffle=true`, shuffles the observations each time iterations are re-started. If `shuffle=true`, shuffles the observations each time iterations are re-started.