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,
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.
|
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 .
|
metadata
|
An optional string . Defaults to "" .
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor of type variant .
|