tf.raw_ops.Bucketize

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.