Dist
torch_dist(self, other, p = 2L)
self | (Tensor) the input tensor. |
---|---|
other | (Tensor) the Right-hand-side input tensor |
p | (float, optional) the norm to be computed |
Returns the p-norm of (input
- other
)
The shapes of input
and other
must be
broadcastable .
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{} ]