tf.raw_ops.ExperimentalDenseToSparseBatchDataset

Creates a dataset that batches input elements into a SparseTensor.

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.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/ExperimentalDenseToSparseBatchDataset