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, 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. |
© 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/r2.3/api_docs/python/tf/raw_ops/PaddedBatchDatasetV2