tf.raw_ops.DenseToSparseBatchDataset
Creates a dataset that batches input elements into a SparseTensor.
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 .
|
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Last updated 2021-08-16 UTC.
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