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Based on the implementation from Rotated_IoU

Usage

contrib_sort_vertices(vertices, mask, num_valid)

Arguments

vertices

A Tensor with the vertices.

mask

A tensors containing the masks.

num_valid

A integer tensors.

Details

All tensors should be on a CUDA device so this function can be used.

Note

This function does not make part of the official torch API.

Examples

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)
}
}