tf.raw_ops.Bucketize

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`.

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Last updated 2024-04-26 UTC.

Args