Creates a dataset that batches input elements into a SparseTensor.
tf.raw_ops.ExperimentalDenseToSparseBatchDataset(
input_dataset, batch_size, row_shape, output_types, output_shapes, name=None
)
Args |
|---|
input_dataset
|
A Tensor of type variant.
A handle to an input dataset. Must have a single component.
|
batch_size
|
A Tensor of type int64.
A scalar representing the number of elements to accumulate in a
batch.
|
row_shape
|
A Tensor of type int64.
A vector representing the dense shape of each row in the produced
SparseTensor. The shape may be partially specified, using -1 to indicate
that a particular dimension should use the maximum size of all batch elements.
|
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.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type variant.
|
