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torch_stablesort CUDA version works and is fast.

master
Stanislaw Adaszewski 3 vuotta sitten
vanhempi
commit
5cf1e3d1b5
1 muutettua tiedostoa jossa 11 lisäystä ja 12 poistoa
  1. +11
    -12
      src/torch_stablesort/torch_stablesort_cuda.cu

+ 11
- 12
src/torch_stablesort/torch_stablesort_cuda.cu Näytä tiedosto

@@ -29,31 +29,27 @@ struct stable_sort_impl_cuda {
if (dim != -1)
values = torch::transpose(values, dim, -1);
auto values_sizes = values.sizes();
auto orig_sizes = values.sizes();
values = values.view({ -1, values.size(-1) }).contiguous();
auto n_cols = values.size(1);
auto n_rows = values.size(0);
auto n = n_rows * n_cols;
assert(values.stride(-2) == n_cols);
assert(values.stride(-1) == 1);
auto values_ptr = values.data_ptr<T>();
auto indices = torch::repeat_interleave(
torch::arange(0, n_cols, 1, torch::TensorOptions()
auto indices = torch::arange(0, n, 1, torch::TensorOptions()
.dtype(torch::kInt64)
.device(values.device())).view({ 1, -1 }),
n_rows,
0 /* dim */
);
.device(values.device())).view({ n_rows, n_cols });
assert(indices.stride(-2) == n_cols);
assert(indices.stride(-1) == 1);
auto indices_ptr = indices.data_ptr<int64_t>();
auto n = n_rows * n_cols;
auto indices_ptr = indices.data_ptr<int64_t>();
auto ind_beg = thrust::device_pointer_cast(indices_ptr);
auto val_beg = thrust::device_pointer_cast(values_ptr);
@@ -74,15 +70,18 @@ struct stable_sort_impl_cuda {
thrust::transform(thrust::device,
ind_beg, ind_beg + n, n_cols_iter,
segments.begin(), thrust::modulus<int64_t>());
segments.begin(), thrust::divides<int64_t>());
thrust::stable_sort_by_key(thrust::device, segments.begin(),
segments.end(), ind_beg);
thrust::transform(thrust::device, ind_beg, ind_beg + n,
n_cols_iter, ind_beg, thrust::modulus<int64_t>());
cudaDeviceSynchronize();
values = values.view(values_sizes);
indices = indices.view(values_sizes);
values = values.view(orig_sizes);
indices = indices.view(orig_sizes);
if (dim != -1)
values = torch::transpose(values, dim, -1).contiguous();


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