tf.raw_ops.ExperimentalDenseToSparseBatchDataset

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
)

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).

A Tensor of type variant.