Creates a dataset that batches batch_size
elements from input_dataset
.
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Compat aliases for migration
See Migration guide for more details.
tf.raw_ops.BatchDatasetV2(
input_dataset,
batch_size,
drop_remainder,
output_types,
output_shapes,
parallel_copy=False,
metadata='',
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 .
|
metadata
|
An optional string . Defaults to "" .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type variant .
|