tf.raw_ops.SparseMatrixSoftmax

Calculates the softmax of a CSRSparseMatrix.

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tf.compat.v1.raw_ops.SparseMatrixSoftmax

tf.raw_ops.SparseMatrixSoftmax(
    logits, type, name=None
)

Calculate the softmax of the innermost dimensions of a SparseMatrix.

Missing values are treated as -inf (i.e., logits of zero probability); and the output has the same sparsity structure as the input (though missing values in the output may now be treated as having probability zero).

Args
logits	A Tensor of type variant. A CSRSparseMatrix.
type	A tf.DType from: tf.float32, tf.float64.
name	A name for the operation (optional).

Returns
A Tensor of type variant.