tf.raw_ops.RaggedBincount

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

tf.raw_ops.RaggedBincount(
    splits, values, size, weights, binary_output=False, 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.

splits A Tensor of type int64. 1D int64 Tensor.
values A Tensor. Must be one of the following types: int32, int64. 2D int Tensor.
size A Tensor. Must have the same type as values. non-negative int 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 input, or a length-0 Tensor, in which case it acts as all weights equal to 1.
binary_output An optional bool. Defaults to False. bool; Whether the kernel should count the appearance or number of occurrences.
name A name for the operation (optional).

A Tensor. Has the same type as weights.