Combines consecutive elements of this dataset into padded batches
This method combines multiple consecutive elements of this dataset, which
might have different shapes, into a single element. The tensors in the
resulting element have an additional outer dimension, and are padded to the
respective shape in
dataset_padded_batch(dataset, batch_size, padded_shapes, padding_values = NULL, drop_remainder = FALSE)
An integer, representing the number of consecutive elements of this dataset to combine in a single batch.
A nested structure of tf$TensorShape or integer vector
tensor-like objects representing the shape to which the respective
component of each input element should be padded prior to batching. Any
unknown dimensions (e.g.
(Optional) A nested structure of scalar-shaped tf$Tensor, representing the padding values to use for the respective components. Defaults are 0 for numeric types and the empty string for string types.
Ensure that batches have a fixed size by omitting any final smaller batch if it's present. Note that this is required for use with the Keras tensor inputs to fit/evaluate/etc.
Other dataset methods: