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

tf.raw_ops.SerializeManySparse

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Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.

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Compat aliases for migration

tf.compat.v1.raw_ops.SerializeManySparse

tf.raw_ops.SerializeManySparse(
    sparse_indices,
    sparse_values,
    sparse_shape,
    out_type=tf.dtypes.string,
    name=None
)

The SparseTensor must have rank R greater than 1, and the first dimension is treated as the minibatch dimension. Elements of the SparseTensormust be sorted in increasing order of this first dimension. The serializedSparseTensor objects going into each row of serialized_sparse will have rank R-1.

The minibatch size N is extracted from sparse_shape[0].

Args
sparse_indices	A Tensor of type int64. 2-D. The indices of the minibatch SparseTensor.
sparse_values	A Tensor. 1-D. The values of the minibatch SparseTensor.
sparse_shape	A Tensor of type int64. 1-D. The shape of the minibatch SparseTensor.
out_type	An optional tf.DType from: tf.string, tf.variant. Defaults to tf.string. The dtype to use for serialization; the supported types are string(default) and variant.
name	A name for the operation (optional).

Returns
A Tensor of type out_type.

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Last updated 2024-04-26 UTC.