tf.raw_ops.SparseMatrixSoftmax

Calculates the softmax of a CSRSparseMatrix.

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.