Shortcuts

# Manhattan Distance¶

## Functional Interface¶

torchmetrics.functional.pairwise_manhattan_distance(x, y=None, reduction=None, zero_diagonal=None)[source]

Calculates pairwise manhattan distance:

If both and are passed in, the calculation will be performed pairwise between the rows of and . If only is passed in, the calculation will be performed between the rows of .

Parameters
Return type

Tensor

Returns

A [N,N] matrix of distances if only x is given, else a [N,M] matrix

Example

>>> import torch
>>> from torchmetrics.functional import pairwise_manhattan_distance
>>> x = torch.tensor([[2, 3], [3, 5], [5, 8]], dtype=torch.float32)
>>> y = torch.tensor([[1, 0], [2, 1]], dtype=torch.float32)
>>> pairwise_manhattan_distance(x, y)
tensor([[ 4.,  2.],
[ 7.,  5.],
[12., 10.]])
>>> pairwise_manhattan_distance(x)
tensor([[0., 3., 8.],
[3., 0., 5.],
[8., 5., 0.]])


© Copyright Copyright (c) 2020-2023, Lightning-AI et al... Revision 6853c553.

Built with Sphinx using a theme provided by Read the Docs.
Read the Docs v: v0.11.2
Versions
latest
stable
v0.11.2
v0.11.1
v0.11.0
v0.10.3
v0.10.2
v0.10.1
v0.10.0
v0.9.3
v0.9.2
v0.9.1
v0.9.0
v0.8.2
v0.8.1
v0.8.0
v0.7.3
v0.7.2
v0.7.1
v0.7.0
v0.6.2
v0.6.1
v0.6.0
v0.5.1
v0.5.0
v0.4.1
v0.4.0
v0.3.2
v0.3.1
v0.3.0
v0.2.0
v0.1.0