tf.raw_ops.BatchDatasetV2

Creates a dataset that batches batch_size elements from input_dataset.

View aliases

Compat aliases for migration

See Migration guide for more details.

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.