tf.raw_ops.SparseMatrixSoftmax
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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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Last updated 2022-10-27 UTC.
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