Bucketizes 'input' based on 'boundaries'.
tf.raw_ops.Bucketize(
input, boundaries, name=None
)
For example, if the inputs are boundaries = [0, 10, 100] input = [[-5, 10000] [150, 10] [5, 100]]
then the output will be output = [[0, 3] [3, 2] [1, 3]]
Args | |
|---|---|
input
|
A Tensor. Must be one of the following types: int32, int64, float32, float64.
Any shape of Tensor contains with int or float type.
|
boundaries
|
A list of floats.
A sorted list of floats gives the boundary of the buckets.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor of type int32.
|