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{} ]