tf.raw_ops.Bucketize
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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.
|
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Last updated 2021-08-16 UTC.
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