tf.raw_ops.BatchDatasetV2

Creates a dataset that batches batch_size elements from input_dataset.

Compat aliases for migration

tf.compat.v1.raw_ops.BatchDatasetV2

tf.raw_ops.BatchDatasetV2(
    input_dataset, batch_size, drop_remainder, output_types, 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.
`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_types`	A list of `tf.DTypes` that has length `>= 1`.
`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/BatchDatasetV2