tf.raw_ops.PaddedBatchDatasetV2

Creates a dataset that batches and pads batch_size elements from the input.

tf.raw_ops.PaddedBatchDatasetV2(
    input_dataset,
    batch_size,
    padded_shapes,
    padding_values,
    drop_remainder,
    output_shapes,
    parallel_copy=False,
    metadata='',
    name=None
)

input_datasetA Tensor of type variant.
batch_sizeA Tensor of type int64. A scalar representing the number of elements to accumulate in a batch.
padded_shapesA list of at least 1 Tensor objects with type int64. A list of int64 tensors representing the desired padded shapes of the corresponding output components. These shapes may be partially specified, using -1 to indicate that a particular dimension should be padded to the maximum size of all batch elements.
padding_valuesA list of Tensor objects. A list of scalars containing the padding value to use for each of the outputs.
drop_remainderA Tensor of type bool. A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
output_shapesA list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
parallel_copyAn optional bool. Defaults to False.
metadataAn optional string. Defaults to "".
nameA name for the operation (optional).

A Tensor of type variant.