Dist — torch_dist • torch

Dist

torch_dist(self, other, p = 2L)

Arguments

self	(Tensor) the input tensor.
other	(Tensor) the Right-hand-side input tensor
p	(float, optional) the norm to be computed

dist(input, other, p=2) -> Tensor

Returns the p-norm of (input - other)

The shapes of input and other must be broadcastable .

Examples

if (torch_is_installed()) {

x = torch_randn(c(4))
x
y = torch_randn(c(4))
y
torch_dist(x, y, 3.5)
torch_dist(x, y, 3)
torch_dist(x, y, 0)
torch_dist(x, y, 1)
}
#> torch_tensor
#> 5.49526
#> [ CPUFloatType{} ]