Bincount

public final class Bincount

Counts the number of occurrences of each value in an integer array.

Outputs a vector with length `size` and the same dtype as `weights`. If `weights` are empty, then index `i` stores the number of times the value `i` is counted in `arr`. If `weights` are non-empty, then index `i` stores the sum of the value in `weights` at each index where the corresponding value in `arr` is `i`.

Values in `arr` outside of the range [0, size) are ignored.

Constants

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

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
Output <T>
bins ()
1D `Tensor` with length equal to `size`.
static <T extends TNumber > Bincount <T>
create ( Scope scope, Operand < TInt32 > arr, Operand < TInt32 > size, Operand <T> weights)
Factory method to create a class wrapping a new Bincount operation.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "Bincount"

Public Methods

public Output <T> 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 Output <T> bins ()

1D `Tensor` with length equal to `size`. The counts or summed weights for each value in the range [0, size).

public static Bincount <T> create ( Scope scope, Operand < TInt32 > arr, Operand < TInt32 > size, Operand <T> weights)

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

Parameters
scope current scope
arr int32 `Tensor`.
size non-negative int32 scalar `Tensor`.
weights is an int32, int64, float32, or float64 `Tensor` with the same shape as `arr`, or a length-0 `Tensor`, in which case it acts as all weights equal to 1.
Returns
  • a new instance of Bincount