tf.raw_ops.DenseToSparseBatchDataset

Creates a dataset that batches input elements into a SparseTensor.

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tf.compat.v1.raw_ops.DenseToSparseBatchDataset

tf.raw_ops.DenseToSparseBatchDataset(
    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.