radix_sort_pairs Class — pytorch Architecture
Architecture documentation for the radix_sort_pairs class in cub.h from the pytorch codebase.
Entity Profile
Source Code
aten/src/ATen/cuda/cub.h lines 43–62
template<typename key_t, typename value_t>
void radix_sort_pairs(
const key_t *keys_in, key_t *keys_out,
const value_t *values_in, value_t *values_out,
int64_t n, bool descending=false, int64_t begin_bit=0, int64_t end_bit=sizeof(key_t)*8) {
static_assert(std::is_trivially_copyable_v<value_t> ||
AT_ROCM_ENABLED(), // ROCm incorrectly fails this check for vector types
"radix_sort_pairs value type must be trivially copyable");
// Make value type opaque, so all inputs of a certain size use the same template instantiation
using opaque_t = detail::OpaqueType<sizeof(value_t)>;
static_assert(sizeof(value_t) <= 8 && (sizeof(value_t) & (sizeof(value_t) - 1)) == 0,
"This size of value_t is not instantiated. Please instantiate it in cub.cu"
" and modify this check.");
static_assert(sizeof(value_t) == alignof(value_t), "Expected value_t to be size-aligned");
detail::radix_sort_pairs_impl(
keys_in, keys_out,
reinterpret_cast<const opaque_t*>(values_in),
reinterpret_cast<opaque_t*>(values_out),
n, descending, begin_bit, end_bit);
}
Source
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free