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. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/SparseMatrixSoftmax