Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
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 SparseTensor
must be sorted in increasing order of this first dimension. The serialized
SparseTensor 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.
|