tf.keras.ops.cdist
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Computes pairwise distances between two collections of vectors.
tf.keras.ops.cdist(
x, y
)
This function computes the Euclidean distance between each pair of the two
collections of inputs.
Args |
|---|
x
|
Tensor of shape (..., m, d).
|
y
|
Tensor of shape (..., n, d).
|
Returns |
|---|
A tensor of shape (..., m, n) with the pairwise distances.
|
Example:
x = keras.ops.convert_to_tensor([[0.0, 0.0], [1.0, 1.0]])
y = keras.ops.convert_to_tensor([[1.0, 0.0], [0.0, 1.0]])
keras.ops.cdist(x, y)
array([[1. , 1. ],
[1. , 1.4142135]], dtype=float32)
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Last updated 2026-10-31 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-10-31 UTC."],[],[]]
View source on GitHub