/TensorFlow 2.4


Calculates the softmax of a CSRSparseMatrix.

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).

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

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Code samples licensed under the Apache 2.0 License.