tf.raw_ops.PaddedBatchDatasetV2

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

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.PaddedBatchDatasetV2

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

Args
input_dataset	A Tensor of type variant.
batch_size	A Tensor of type int64. A scalar representing the number of elements to accumulate in a batch.
padded_shapes	A 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_values	A list of Tensor objects. A list of scalars containing the padding value to use for each of the outputs.
drop_remainder	A Tensor of type bool. A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
output_shapes	A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
parallel_copy	An optional bool. Defaults to False.
name	A name for the operation (optional).

Returns
A Tensor of type variant.