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).
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<TType> |
asOutput()
Returns the symbolic handle of the tensor.
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static <T extends TNumber> SparseMatrixSoftmax | |
Output<?> |
softmax()
A CSRSparseMatrix.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<TType> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static SparseMatrixSoftmax create (Scope scope, Operand<?> logits, Class<T> type)
Factory method to create a class wrapping a new SparseMatrixSoftmax operation.
Parameters
scope | current scope |
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logits | A CSRSparseMatrix. |
Returns
- a new instance of SparseMatrixSoftmax