tf.raw_ops.ExperimentalDenseToSparseBatchDataset | TensorFlow v2.16.1 (original) (raw)

tf.raw_ops.ExperimentalDenseToSparseBatchDataset

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Creates a dataset that batches input elements into a SparseTensor.

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Compat aliases for migration

tf.compat.v1.raw_ops.ExperimentalDenseToSparseBatchDataset

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.

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Last updated 2024-04-26 UTC.