tf.searchsorted

Searches input tensor for values on the innermost dimension.

View aliases

Compat aliases for migration

tf.compat.v1.searchsorted

tf.searchsorted(
    sorted_sequence, values, side='left', out_type=tf.dtypes.int32,
    name=None
)

A 2-D example:

sorted_sequence = [[0, 3, 9, 9, 10],
                   [1, 2, 3, 4, 5]]
values = [[2, 4, 9],
          [0, 2, 6]]

result = searchsorted(sorted_sequence, values, side="left")

result == [[1, 2, 2],
           [0, 1, 5]]

result = searchsorted(sorted_sequence, values, side="right")

result == [[1, 2, 4],
           [0, 2, 5]]

Args
`sorted_sequence`	N-D `Tensor` containing a sorted sequence.
`values`	N-D `Tensor` containing the search values.
`side`	'left' or 'right'; 'left' corresponds to lower_bound and 'right' to upper_bound.
`out_type`	The output type (`int32` or `int64`). Default is `tf.int32`.
`name`	Optional name for the operation.

Returns
An N-D `Tensor` the size of values containing the result of applying either lower_bound or upper_bound (depending on side) to each value. The result is not a global index to the entire `Tensor`, but the index in the last dimension.

Raises
`ValueError`	If the last dimension of `sorted_sequence >= 2^31-1` elements. If the total size of values exceeds `2^31 - 1` elements. If the first `N-1` dimensions of the two tensors don't match.

© 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/searchsorted