tf.raw_ops.Bucketize

Bucketizes 'input' based on 'boundaries'.

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.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/Bucketize