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Dist

Usage

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
#> 5.70341
#> [ CPUFloatType{} ]