Pairwise distance
Computes the batchwise pairwise distance between vectors v_1, v_2 using the p-norm:
nn_pairwise_distance(p = 2, eps = 1e-06, keepdim = FALSE)
p |
(real): the norm degree. Default: 2 |
eps |
(float, optional): Small value to avoid division by zero. Default: 1e-6 |
keepdim |
(bool, optional): Determines whether or not to keep the vector dimension. Default: FALSE |
\Vert x \Vert _p = ≤ft( ∑_{i=1}^n \vert x_i \vert ^ p \right) ^ {1/p}.
Input1: (N, D) where D = vector dimension
Input2: (N, D), same shape as the Input1
Output: (N). If keepdim is TRUE, then (N, 1).
if (torch_is_installed()) {
pdist <- nn_pairwise_distance(p=2)
input1 <- torch_randn(100, 128)
input2 <- torch_randn(100, 128)
output <- pdist(input1, input2)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.