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
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Public Methods
static <U extends Number, T extends Number> RaggedCountSparseOutput<U> | |
static RaggedCountSparseOutput.Options |
maxlength(Long maxlength)
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static RaggedCountSparseOutput.Options |
minlength(Long minlength)
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Output<Long> |
outputDenseShape()
Shape tensor for the resulting sparse tensor object.
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Output<Long> |
outputIndices()
Indices tensor for the resulting sparse tensor object.
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Output<U> |
outputValues()
Values tensor for the resulting sparse tensor object.
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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 |
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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. |
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public static RaggedCountSparseOutput.Options minlength (Long minlength)
Parameters
minlength | Minimum value to count. Can be set to -1 for no minimum. |
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public Output<Long> outputDenseShape ()
Shape tensor for the resulting sparse tensor object.
END
}
attr {
name: "T"
description: <