SparseTensor into an
tf.compat.v2.io.serialize_many_sparse( sp_input, out_type=tf.dtypes.string, name=None )
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 the output
Tensor will have rank
The minibatch size
N is extracted from
| || The input rank |
| || The |
| ||A name prefix for the returned tensors (optional).|
| A matrix (2-D |
| || If |
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