tf.raw_ops.Bucketize | TensorFlow v2.16.1 (original) (raw)

tf.raw_ops.Bucketize

Stay organized with collections Save and categorize content based on your preferences.

Bucketizes 'input' based on 'boundaries'.

Compat aliases for migration

tf.compat.v1.raw_ops.Bucketize

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.