W3cubDocs

/TensorFlow 2.4

tf.raw_ops.PaddedBatchDatasetV2

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

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.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/PaddedBatchDatasetV2