contrib_sort_vertices | R Documentation |
Based on the implementation from Rotated_IoU
contrib_sort_vertices(vertices, mask, num_valid)
vertices |
A Tensor with the vertices. |
mask |
A tensors containing the masks. |
num_valid |
A integer tensors. |
All tensors should be on a CUDA device so this function can be used.
This function does not make part of the official torch API.
if (torch_is_installed()) {
if (cuda_is_available()) {
v <- torch_randn(8, 1024, 24, 2)$cuda()
mean <- torch_mean(v, dim = 2, keepdim = TRUE)
v <- v - mean
m <- (torch_rand(8, 1024, 24) > 0.8)$cuda()
nv <- torch_sum(m$to(dtype = torch_int()), dim = -1)$to(dtype = torch_int())$cuda()
result <- contrib_sort_vertices(v, m, nv)
}
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.