DenseCountSparseOutput

public final class DenseCountSparseOutput

Performs sparse-output bin counting for a tf.tensor input.

Counts the number of times each value occurs in the input.

class DenseCountSparseOutput.Options Optional attributes for DenseCountSparseOutput

String OP_NAME The name of this op, as known by TensorFlow core engine

static <U extends TNumber> DenseCountSparseOutput<U>	create(Scope scope, Operand<? extends TNumber> values, Operand<U> weights, Boolean binaryOutput, Options... options) Factory method to create a class wrapping a new DenseCountSparseOutput operation.
static DenseCountSparseOutput.Options	maxlength(Long maxlength)
static DenseCountSparseOutput.Options	minlength(Long minlength)
Output<TInt64>	outputDenseShape() Shape tensor for the resulting sparse tensor object.
Output<TInt64>	outputIndices() Indices tensor for the resulting sparse tensor object.
Output<U>	outputValues() Values tensor for the resulting sparse tensor object.

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

Constants

The name of this op, as known by TensorFlow core engine

Constant Value: "DenseCountSparseOutput"

Factory method to create a class wrapping a new DenseCountSparseOutput operation.

scope	current scope
values	Tensor containing data 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

maxlength	Maximum value to count. Can be set to -1 for no maximum.

minlength	Minimum value to count. Can be set to -1 for no minimum.

Shape tensor for the resulting sparse tensor object.

Indices tensor for the resulting sparse tensor object.

Values tensor for the resulting sparse tensor object.