tf.raw_ops.Bincount

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

tf.raw_ops.Bincount(
    arr, size, weights, name=None
)

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.

arr A Tensor of type int32. int32 Tensor.
size A Tensor of type int32. non-negative int32 scalar Tensor.
weights A Tensor. Must be one of the following types: int32, int64, float32, float64. 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.
name A name for the operation (optional).

A Tensor. Has the same type as weights.