tf.compat.v1.serialize_many_sparse | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.serialize_many_sparse
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Serialize N-minibatch SparseTensor into an [N, 3] Tensor.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.io.serialize_many_sparse
tf.compat.v1.serialize_many_sparse(
sp_input,
name=None,
out_type=tf.dtypes.string
)
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 the output Tensor will have rank R-1.
The minibatch size N is extracted from sparse_shape[0].
| Args | |
|---|---|
| sp_input | The input rank R SparseTensor. |
| name | A name prefix for the returned tensors (optional). |
| out_type | The dtype to use for serialization. |
| Returns |
|---|
| A matrix (2-D Tensor) with N rows and 3 columns. Each column represents serialized SparseTensor's indices, values, and shape (respectively). |
| Raises | |
|---|---|
| TypeError | If sp_input is not a SparseTensor. |
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Last updated 2024-04-26 UTC.