Performs sparse-output bin counting for a ragged tensor input.
Counts the number of times each value occurs in the input.
Nested Classes
| class | RaggedCountSparseOutput.Options | Optional attributes for RaggedCountSparseOutput | |
Public Methods
| static <U extends Number, T extends Number> RaggedCountSparseOutput<U> | |
| static RaggedCountSparseOutput.Options | 
maxlength(Long maxlength)
                
               | 
| static RaggedCountSparseOutput.Options | 
minlength(Long minlength)
                
               | 
| Output<Long> | 
outputDenseShape()
                
                   Shape tensor for the resulting sparse tensor object. | 
| Output<Long> | 
outputIndices()
                
                   Indices tensor for the resulting sparse tensor object. | 
| Output<U> | 
outputValues()
                
                   Values tensor for the resulting sparse tensor object. | 
Inherited Methods
Public Methods
public static RaggedCountSparseOutput<U> create (Scope scope, Operand<Long> splits, Operand<T> values, Operand<U> weights, Boolean binaryOutput, Options... options)
Factory method to create a class wrapping a new RaggedCountSparseOutput operation.
Parameters
| scope | current scope | 
|---|---|
| splits | Tensor containing the row splits of the ragged tensor to count. | 
| values | Tensor containing values of the sparse tensor to count. | 
| weights | A Tensor of the same shape as indices containing per-index weight values. May also be the empty tensor if no weights are used. | 
| binaryOutput | Whether to output the number of occurrences of each value or 1. | 
| options | carries optional attributes values | 
Returns
- a new instance of RaggedCountSparseOutput
public static RaggedCountSparseOutput.Options maxlength (Long maxlength)
Parameters
| maxlength | Maximum value to count. Can be set to -1 for no maximum. | 
|---|
public static RaggedCountSparseOutput.Options minlength (Long minlength)
Parameters
| minlength | Minimum value to count. Can be set to -1 for no minimum. | 
|---|
public Output<Long> outputDenseShape ()
Shape tensor for the resulting sparse tensor object.
   END
   }
   attr {
     name: "T"
     description: <