tf.raw_ops.BatchDatasetV2

Creates a dataset that batches batch_size elements from input_dataset.

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.

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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