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.
Args | |
|---|---|
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). |
Returns | |
|---|---|
A Tensor. Has the same type as weights.
|