tensorflow::ops::Bincount

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

Summary

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.

Arguments:

• scope: A Scope object
• 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:

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

Public attributes

::tensorflow::Output bins

Operation operation

 Bincount(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input arr,
  ::tensorflow::Input size,
  ::tensorflow::Input weights
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const