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950 lines (857 loc) Β· 43.8 KB
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/**
* @brief Dynamic dispatch library for NumKong.
* @file c/numkong.c
* @author Ash Vardanian
* @date March 13, 2024
*/
#include "dispatch.h"
/* MemorySanitizer cannot track initialization through SIMD intrinsics (SVE, NEON, SSE, AVX),
* causing false-positive "use-of-uninitialized-value" reports. We unpoison results after dispatch.
*/
#if defined(__has_feature)
#if __has_feature(memory_sanitizer)
#include <sanitizer/msan_interface.h>
#define nk_unpoison_(ptr, size) __msan_unpoison((ptr), (size))
#endif
#endif
#ifndef nk_unpoison_
#define nk_unpoison_(ptr, size) nk_unused_(ptr), nk_unused_(size)
#endif
#ifdef __cplusplus
extern "C" {
#endif
// WASM capability detection for standalone Emscripten builds.
// EM_JS embeds JavaScript probes for runtime SIMD detection. It only works in
// standalone builds β Pyodide side modules cannot use EM_JS (the linker fails
// with undefined ___em_js__* symbols). Pyodide builds define NK_PYODIDE_SIDE_MODULE
// and fall through to compile-time detection in capabilities.h instead.
#if defined(__EMSCRIPTEN__) && NK_DYNAMIC_DISPATCH && !defined(NK_PYODIDE_SIDE_MODULE)
#include <emscripten.h>
// EM_JS expands to an empty-parameter-list declaration `()` and a trailing `;`,
// which trigger `-Wstrict-prototypes` and `-Wextra-semi` under Clang/Emscripten.
#if defined(__clang__)
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wstrict-prototypes"
#pragma clang diagnostic ignored "-Wextra-semi"
#endif
EM_JS(int, nk_has_v128, (), {
var test = new Uint8Array([
0x00, 0x61, 0x73, 0x6d, 0x01, 0x00, 0x00, 0x00, 0x01, 0x05, 0x01, 0x60, 0x00, 0x01, 0x7b, 0x03,
0x02, 0x01, 0x00, 0x0a, 0x09, 0x01, 0x07, 0x00, 0xfd, 0x0c, 0x00, 0x00, 0x00, 0x00, 0x0b
]);
try {
return WebAssembly.validate(test) ? 1 : 0;
}
catch (e) {
return 0;
}
});
EM_JS(int, nk_has_relaxed, (), {
var test = new Uint8Array([
0x00, 0x61, 0x73, 0x6d, 0x01, 0x00, 0x00, 0x00, 0x01, 0x08, 0x01, 0x60, 0x03,
0x7b, 0x7b, 0x7b, 0x01, 0x7b, 0x03, 0x02, 0x01, 0x00, 0x0a, 0x09, 0x01, 0x07,
0x00, 0x20, 0x00, 0x20, 0x01, 0x20, 0x02, 0xfd, 0xaf, 0x01, 0x0b
]);
try {
return WebAssembly.validate(test) ? 1 : 0;
}
catch (e) {
return 0;
}
});
#if defined(__clang__)
#pragma clang diagnostic pop
#endif
#endif // __EMSCRIPTEN__ && NK_DYNAMIC_DISPATCH && !NK_PYODIDE_SIDE_MODULE
/**
* @brief Fill memory with 0xFF - produces NaN for floats, -1 for signed integers, and MAX for unsigned.
* Avoids libc dependency on memset.
*/
NK_INTERNAL void nk_fill_error_(void *ptr, nk_size_t bytes) {
nk_u8_t *p = (nk_u8_t *)ptr;
while (bytes--) *p++ = 0xFF;
}
void nk_error_dense_(void const *a, void const *b, nk_size_t n, void *d) {
nk_unused_(a);
nk_unused_(b);
nk_unused_(n);
nk_fill_error_(d, sizeof(nk_fmax_t));
}
void nk_error_sparse_intersect_(void const *a, void const *b, nk_size_t a_length, nk_size_t b_length, void *result,
nk_size_t *count) {
nk_unused_(a);
nk_unused_(b);
nk_unused_(a_length);
nk_unused_(b_length);
nk_unused_(result);
if (count) *count = 0;
}
void nk_error_sparse_dot_(void const *a, void const *b, void const *a_weights, void const *b_weights,
nk_size_t a_length, nk_size_t b_length, void *product) {
nk_unused_(a);
nk_unused_(b);
nk_unused_(a_weights);
nk_unused_(b_weights);
nk_unused_(a_length);
nk_unused_(b_length);
nk_fill_error_(product, sizeof(nk_fmax_t));
}
void nk_error_curved_(void const *a, void const *b, void const *c, nk_size_t n, void *result) {
nk_unused_(a);
nk_unused_(b);
nk_unused_(c);
nk_unused_(n);
nk_fill_error_(result, sizeof(nk_fmax_t));
}
void nk_error_geospatial_(void const *a_lats, void const *a_lons, void const *b_lats, void const *b_lons, nk_size_t n,
void *results) {
nk_unused_(a_lats);
nk_unused_(a_lons);
nk_unused_(b_lats);
nk_unused_(b_lons);
nk_unused_(n);
nk_fill_error_(results, sizeof(nk_fmax_t));
}
void nk_error_each_fma_(void const *a, void const *b, void const *c, nk_size_t n, void const *alpha, void const *beta,
void *result) {
nk_unused_(a);
nk_unused_(b);
nk_unused_(c);
nk_unused_(alpha);
nk_unused_(beta);
nk_fill_error_(result, n * sizeof(nk_fmax_t));
}
void nk_error_each_blend_(void const *a, void const *b, nk_size_t n, void const *alpha, void const *beta,
void *result) {
nk_unused_(a);
nk_unused_(b);
nk_unused_(alpha);
nk_unused_(beta);
nk_fill_error_(result, n * sizeof(nk_fmax_t));
}
void nk_error_each_scale_(void const *a, nk_size_t n, void const *alpha, void const *beta, void *result) {
nk_unused_(a);
nk_unused_(alpha);
nk_unused_(beta);
nk_fill_error_(result, n * sizeof(nk_fmax_t));
}
void nk_error_each_sum_(void const *a, void const *b, nk_size_t n, void *y) {
nk_unused_(a);
nk_unused_(b);
nk_fill_error_(y, n * sizeof(nk_fmax_t));
}
void nk_error_trigonometry_(void const *x, nk_size_t n, void *y) {
nk_unused_(x);
nk_fill_error_(y, n * sizeof(nk_fmax_t));
}
void nk_error_mesh_(void const *a, void const *b, nk_size_t n, void *a_centroid, void *b_centroid, void *rotation,
void *scale, void *result) {
nk_unused_(a);
nk_unused_(b);
nk_unused_(n);
if (a_centroid) nk_fill_error_(a_centroid, 3 * sizeof(nk_fmax_t));
if (b_centroid) nk_fill_error_(b_centroid, 3 * sizeof(nk_fmax_t));
if (rotation) nk_fill_error_(rotation, 9 * sizeof(nk_fmax_t));
if (scale) nk_fill_error_(scale, sizeof(nk_fmax_t));
nk_fill_error_(result, sizeof(nk_fmax_t));
}
void nk_error_reduce_moments_(void const *data, nk_size_t count, nk_size_t stride_bytes, void *sum_ptr,
void *sumsq_ptr) {
nk_unused_(data), nk_unused_(count), nk_unused_(stride_bytes), nk_unused_(sum_ptr), nk_unused_(sumsq_ptr);
nk_fill_error_(sum_ptr, sizeof(nk_fmax_t));
nk_fill_error_(sumsq_ptr, sizeof(nk_fmax_t));
}
void nk_error_reduce_minmax_(void const *data, nk_size_t count, nk_size_t stride_bytes, void *min_value,
nk_size_t *min_index, void *max_value, nk_size_t *max_index) {
nk_unused_(data), nk_unused_(count), nk_unused_(stride_bytes), nk_unused_(min_value), nk_unused_(min_index),
nk_unused_(max_value), nk_unused_(max_index);
nk_fill_error_(min_value, sizeof(nk_fmax_t));
nk_fill_error_(min_index, sizeof(nk_size_t));
nk_fill_error_(max_value, sizeof(nk_fmax_t));
nk_fill_error_(max_index, sizeof(nk_size_t));
}
nk_size_t nk_error_packed_size_(nk_size_t n, nk_size_t k) {
nk_unused_(n);
nk_unused_(k);
return 0;
}
void nk_error_pack_(void const *b, nk_size_t n, nk_size_t k, nk_size_t b_stride, void *b_packed) {
nk_unused_(b);
nk_unused_(n);
nk_unused_(k);
nk_unused_(b_stride);
nk_unused_(b_packed);
}
void nk_error_dots_(void const *a, void const *b_packed, void *c, nk_size_t m, nk_size_t n, nk_size_t k,
nk_size_t a_stride, nk_size_t c_stride) {
nk_unused_(a);
nk_unused_(b_packed);
nk_unused_(k);
nk_unused_(a_stride);
for (nk_size_t row = 0; row < m; ++row) nk_fill_error_((nk_u8_t *)c + row * c_stride, n * sizeof(nk_fmax_t));
}
void nk_error_dots_symmetric_(void const *vectors, nk_size_t n_vectors, nk_size_t depth, nk_size_t stride, void *result,
nk_size_t result_stride, nk_size_t row_start, nk_size_t row_count) {
nk_unused_(vectors);
nk_unused_(depth);
nk_unused_(stride);
nk_unused_(row_start);
nk_unused_(row_count);
for (nk_size_t row = 0; row < n_vectors; ++row)
nk_fill_error_((nk_u8_t *)result + row * result_stride, n_vectors * sizeof(nk_fmax_t));
}
// Global dispatch table - 64-byte aligned for cache performance
// Type defined in dispatch.h, made non-static for access from dtype files
NK_ALIGN64 nk_implementations_t nk_dispatch_table;
// Direct dispatch macros using central dispatch table (no lazy initialization)
#define nk_dispatch_dense_(name, extension, input_type, output_type) \
NK_DYNAMIC void nk_##name##_##extension(nk_##input_type##_t const *a, nk_##input_type##_t const *b, nk_size_t n, \
nk_##output_type##_t *results) { \
nk_dispatch_table.name##_##extension(a, b, n, (void *)results); \
nk_unpoison_((void *)results, sizeof(nk_##output_type##_t)); \
}
#define nk_dispatch_sparse_(name, extension, type) \
NK_DYNAMIC void nk_##name##_##extension(nk_##type##_t const *a, nk_##type##_t const *b, nk_size_t a_length, \
nk_size_t b_length, nk_##type##_t *result, nk_size_t *count) { \
nk_dispatch_table.name##_##extension(a, b, a_length, b_length, (void *)result, count); \
nk_unpoison_(count, sizeof(nk_size_t)); \
nk_unpoison_((void *)result, (*count) * sizeof(nk_##type##_t)); \
}
#define nk_dispatch_sparse_dot_(name, index_type, weight_type, output_type) \
NK_DYNAMIC void nk_##name##_##index_type##weight_type(nk_##index_type##_t const *a, nk_##index_type##_t const *b, \
nk_##weight_type##_t const *a_weights, \
nk_##weight_type##_t const *b_weights, nk_size_t a_length, \
nk_size_t b_length, nk_##output_type##_t *product) { \
nk_dispatch_table.name##_##index_type##weight_type(a, b, a_weights, b_weights, a_length, b_length, \
(void *)product); \
nk_unpoison_((void *)product, sizeof(nk_##output_type##_t)); \
}
#define nk_dispatch_curved_(name, extension, output_type) \
NK_DYNAMIC void nk_##name##_##extension(nk_##extension##_t const *a, nk_##extension##_t const *b, \
nk_##extension##_t const *c, nk_size_t n, nk_##output_type##_t *result) { \
nk_dispatch_table.name##_##extension(a, b, c, n, (void *)result); \
nk_unpoison_((void *)result, sizeof(nk_##output_type##_t)); \
}
#define nk_dispatch_geospatial_(name, extension, output_type) \
NK_DYNAMIC void nk_##name##_##extension(nk_##extension##_t const *a_lats, nk_##extension##_t const *a_lons, \
nk_##extension##_t const *b_lats, nk_##extension##_t const *b_lons, \
nk_size_t n, nk_##output_type##_t *results) { \
nk_dispatch_table.name##_##extension(a_lats, a_lons, b_lats, b_lons, n, (void *)results); \
nk_unpoison_((void *)results, sizeof(nk_##output_type##_t)); \
}
#define nk_dispatch_each_fma_(extension, scalar_type) \
NK_DYNAMIC void nk_each_fma_##extension( \
nk_##extension##_t const *a, nk_##extension##_t const *b, nk_##extension##_t const *c, nk_size_t n, \
nk_##scalar_type##_t const *alpha, nk_##scalar_type##_t const *beta, nk_##extension##_t *result) { \
nk_dispatch_table.each_fma_##extension(a, b, c, n, (void const *)alpha, (void const *)beta, result); \
nk_unpoison_((void *)result, n * sizeof(nk_##extension##_t)); \
}
#define nk_dispatch_each_blend_(extension, scalar_type) \
NK_DYNAMIC void nk_each_blend_##extension(nk_##extension##_t const *a, nk_##extension##_t const *b, nk_size_t n, \
nk_##scalar_type##_t const *alpha, nk_##scalar_type##_t const *beta, \
nk_##extension##_t *result) { \
nk_dispatch_table.each_blend_##extension(a, b, n, (void const *)alpha, (void const *)beta, result); \
nk_unpoison_((void *)result, n * sizeof(nk_##extension##_t)); \
}
#define nk_dispatch_each_scale_(extension, scalar_type) \
NK_DYNAMIC void nk_each_scale_##extension(nk_##extension##_t const *a, nk_size_t n, \
nk_##scalar_type##_t const *alpha, nk_##scalar_type##_t const *beta, \
nk_##extension##_t *result) { \
nk_dispatch_table.each_scale_##extension(a, n, (void const *)alpha, (void const *)beta, result); \
nk_unpoison_((void *)result, n * sizeof(nk_##extension##_t)); \
}
#define nk_dispatch_each_sum_(extension) \
NK_DYNAMIC void nk_each_sum_##extension(nk_##extension##_t const *a, nk_##extension##_t const *b, nk_size_t n, \
nk_##extension##_t *result) { \
nk_dispatch_table.each_sum_##extension(a, b, n, result); \
nk_unpoison_((void *)result, n * sizeof(nk_##extension##_t)); \
}
#define nk_dispatch_trigonometry_(name, extension) \
NK_DYNAMIC void nk_each_##name##_##extension(nk_##extension##_t const *inputs, nk_size_t n, \
nk_##extension##_t *outputs) { \
nk_dispatch_table.each_##name##_##extension(inputs, n, outputs); \
nk_unpoison_((void *)outputs, n * sizeof(nk_##extension##_t)); \
}
#define nk_dispatch_mesh_(name, extension, transform_type, metric_type) \
NK_DYNAMIC void nk_##name##_##extension(nk_##extension##_t const *a, nk_##extension##_t const *b, nk_size_t n, \
nk_##transform_type##_t *a_centroid, nk_##transform_type##_t *b_centroid, \
nk_##transform_type##_t *rotation, nk_##transform_type##_t *scale, \
nk_##metric_type##_t *result) { \
nk_dispatch_table.name##_##extension(a, b, n, (void *)a_centroid, (void *)b_centroid, (void *)rotation, \
(void *)scale, (void *)result); \
if (a_centroid) nk_unpoison_((void *)a_centroid, 3 * sizeof(nk_##transform_type##_t)); \
if (b_centroid) nk_unpoison_((void *)b_centroid, 3 * sizeof(nk_##transform_type##_t)); \
if (rotation) nk_unpoison_((void *)rotation, 9 * sizeof(nk_##transform_type##_t)); \
if (scale) nk_unpoison_((void *)scale, sizeof(nk_##transform_type##_t)); \
nk_unpoison_((void *)result, sizeof(nk_##metric_type##_t)); \
}
#define nk_dispatch_reduce_moments_(extension, data_type, sum_type, sumsq_type) \
NK_DYNAMIC void nk_reduce_moments_##extension(data_type const *data, nk_size_t count, nk_size_t stride_bytes, \
sum_type *sum_ptr, sumsq_type *sumsq_ptr) { \
((nk_kernel_reduce_moments_punned_t)nk_dispatch_table.reduce_moments_##extension)(data, count, stride_bytes, \
sum_ptr, sumsq_ptr); \
nk_unpoison_((void *)sum_ptr, sizeof(sum_type)); \
nk_unpoison_((void *)sumsq_ptr, sizeof(sumsq_type)); \
}
#define nk_dispatch_reduce_minmax_(extension, data_type, minmax_type) \
NK_DYNAMIC void nk_reduce_minmax_##extension(data_type const *data, nk_size_t count, nk_size_t stride_bytes, \
minmax_type *min_value, nk_size_t *min_index, minmax_type *max_value, \
nk_size_t *max_index) { \
((nk_kernel_reduce_minmax_punned_t)nk_dispatch_table.reduce_minmax_##extension)( \
data, count, stride_bytes, min_value, min_index, max_value, max_index); \
nk_unpoison_((void *)min_value, sizeof(minmax_type)); \
nk_unpoison_(min_index, sizeof(nk_size_t)); \
nk_unpoison_((void *)max_value, sizeof(minmax_type)); \
nk_unpoison_(max_index, sizeof(nk_size_t)); \
}
#define nk_dispatch_cross_packed_size_(api_name, name, input_type, accum_type) \
NK_DYNAMIC nk_size_t nk_##api_name##_packed_size_##name(nk_size_t n, nk_size_t k) { \
return nk_dispatch_table.api_name##_packed_size_##name(n, k); \
}
#define nk_dispatch_cross_pack_(api_name, name, input_type, accum_type) \
NK_DYNAMIC void nk_##api_name##_pack_##name(nk_##input_type##_t const *b, nk_size_t n, nk_size_t k, \
nk_size_t b_stride, void *b_packed) { \
nk_dispatch_table.api_name##_pack_##name(b, n, k, b_stride, b_packed); \
}
#define nk_dispatch_cross_packed_(api_name, name, input_type, accum_type, output_type) \
NK_DYNAMIC void nk_##api_name##_packed_##name(nk_##input_type##_t const *a, void const *b_packed, \
nk_##output_type##_t *c, nk_size_t m, nk_size_t n, nk_size_t k, \
nk_size_t a_stride, nk_size_t c_stride) { \
nk_dispatch_table.api_name##_packed_##name(a, b_packed, c, m, n, k, a_stride, c_stride); \
nk_unpoison_((void *)c, m * c_stride); \
}
#define nk_dispatch_cross_symmetric_(api_name, name, input_type, output_type) \
NK_DYNAMIC void nk_##api_name##_symmetric_##name( \
nk_##input_type##_t const *vectors, nk_size_t n_vectors, nk_size_t depth, nk_size_t stride, \
nk_##output_type##_t *result, nk_size_t result_stride, nk_size_t row_start, nk_size_t row_count) { \
nk_dispatch_table.api_name##_symmetric_##name(vectors, n_vectors, depth, stride, result, result_stride, \
row_start, row_count); \
nk_unpoison_((void *)result, row_count * result_stride); \
}
#define nk_dispatch_maxsim_packed_(name, output_type) \
NK_DYNAMIC void nk_maxsim_packed_##name(void const *q_packed, void const *d_packed, nk_size_t n_q, nk_size_t n_d, \
nk_size_t depth, nk_##output_type##_t *result) { \
nk_dispatch_table.maxsim_packed_##name(q_packed, d_packed, n_q, n_d, depth, (void *)result); \
nk_unpoison_((void *)result, sizeof(nk_##output_type##_t)); \
}
// Dot products
nk_dispatch_dense_(dot, f64c, f64c, f64c)
nk_dispatch_dense_(dot, f32c, f32c, f64c)
nk_dispatch_dense_(dot, bf16c, bf16c, f32c)
nk_dispatch_dense_(dot, f16c, f16c, f32c)
nk_dispatch_dense_(dot, f64, f64, f64)
nk_dispatch_dense_(dot, f32, f32, f64)
nk_dispatch_dense_(dot, bf16, bf16, f32)
nk_dispatch_dense_(dot, f16, f16, f32)
nk_dispatch_dense_(dot, e5m2, e5m2, f32)
nk_dispatch_dense_(dot, e4m3, e4m3, f32)
nk_dispatch_dense_(dot, e3m2, e3m2, f32)
nk_dispatch_dense_(dot, e2m3, e2m3, f32)
nk_dispatch_dense_(dot, i8, i8, i32)
nk_dispatch_dense_(dot, i4, i4x2, i32)
nk_dispatch_dense_(dot, u8, u8, u32)
nk_dispatch_dense_(dot, u4, u4x2, u32)
nk_dispatch_dense_(dot, u1, u1x8, u32)
nk_dispatch_dense_(vdot, f64c, f64c, f64c)
nk_dispatch_dense_(vdot, f32c, f32c, f64c)
nk_dispatch_dense_(vdot, bf16c, bf16c, f32c)
nk_dispatch_dense_(vdot, f16c, f16c, f32c)
// Spatial distances
nk_dispatch_dense_(angular, f64, f64, f64)
nk_dispatch_dense_(angular, f32, f32, f64)
nk_dispatch_dense_(angular, bf16, bf16, f32)
nk_dispatch_dense_(angular, f16, f16, f32)
nk_dispatch_dense_(angular, e5m2, e5m2, f32)
nk_dispatch_dense_(angular, e4m3, e4m3, f32)
nk_dispatch_dense_(angular, e3m2, e3m2, f32)
nk_dispatch_dense_(angular, e2m3, e2m3, f32)
nk_dispatch_dense_(angular, i8, i8, f32)
nk_dispatch_dense_(angular, i4, i4x2, f32)
nk_dispatch_dense_(angular, u8, u8, f32)
nk_dispatch_dense_(angular, u4, u4x2, f32)
nk_dispatch_dense_(euclidean, f64, f64, f64)
nk_dispatch_dense_(euclidean, f32, f32, f64)
nk_dispatch_dense_(euclidean, bf16, bf16, f32)
nk_dispatch_dense_(euclidean, f16, f16, f32)
nk_dispatch_dense_(euclidean, e5m2, e5m2, f32)
nk_dispatch_dense_(euclidean, e4m3, e4m3, f32)
nk_dispatch_dense_(euclidean, e3m2, e3m2, f32)
nk_dispatch_dense_(euclidean, e2m3, e2m3, f32)
nk_dispatch_dense_(euclidean, i8, i8, f32)
nk_dispatch_dense_(euclidean, i4, i4x2, f32)
nk_dispatch_dense_(euclidean, u8, u8, f32)
nk_dispatch_dense_(euclidean, u4, u4x2, f32)
nk_dispatch_dense_(sqeuclidean, f64, f64, f64)
nk_dispatch_dense_(sqeuclidean, f32, f32, f64)
nk_dispatch_dense_(sqeuclidean, bf16, bf16, f32)
nk_dispatch_dense_(sqeuclidean, f16, f16, f32)
nk_dispatch_dense_(sqeuclidean, e5m2, e5m2, f32)
nk_dispatch_dense_(sqeuclidean, e4m3, e4m3, f32)
nk_dispatch_dense_(sqeuclidean, e3m2, e3m2, f32)
nk_dispatch_dense_(sqeuclidean, e2m3, e2m3, f32)
nk_dispatch_dense_(sqeuclidean, i8, i8, u32)
nk_dispatch_dense_(sqeuclidean, i4, i4x2, u32)
nk_dispatch_dense_(sqeuclidean, u8, u8, u32)
nk_dispatch_dense_(sqeuclidean, u4, u4x2, u32)
// Binary distances
nk_dispatch_dense_(hamming, u8, u8, u32)
nk_dispatch_dense_(hamming, u1, u1x8, u32)
nk_dispatch_dense_(jaccard, u32, u32, f32)
nk_dispatch_dense_(jaccard, u16, u16, f32)
nk_dispatch_dense_(jaccard, u1, u1x8, f32)
// Curved spaces
nk_dispatch_curved_(bilinear, f64c, f64c)
nk_dispatch_curved_(bilinear, f32c, f64c)
nk_dispatch_curved_(bilinear, bf16c, f32c)
nk_dispatch_curved_(bilinear, f16c, f32c)
nk_dispatch_curved_(bilinear, f64, f64)
nk_dispatch_curved_(bilinear, f32, f64)
nk_dispatch_curved_(bilinear, bf16, f32)
nk_dispatch_curved_(bilinear, f16, f32)
nk_dispatch_curved_(mahalanobis, f64, f64)
nk_dispatch_curved_(mahalanobis, f32, f64)
nk_dispatch_curved_(mahalanobis, bf16, f32)
nk_dispatch_curved_(mahalanobis, f16, f32)
// Geospatial distances
nk_dispatch_geospatial_(haversine, f64, f64)
nk_dispatch_geospatial_(haversine, f32, f32)
nk_dispatch_geospatial_(vincenty, f64, f64)
nk_dispatch_geospatial_(vincenty, f32, f32)
// Probability distributions
nk_dispatch_dense_(kld, f64, f64, f64)
nk_dispatch_dense_(kld, f32, f32, f64)
nk_dispatch_dense_(kld, bf16, bf16, f32)
nk_dispatch_dense_(kld, f16, f16, f32)
nk_dispatch_dense_(jsd, f64, f64, f64)
nk_dispatch_dense_(jsd, f32, f32, f64)
nk_dispatch_dense_(jsd, bf16, bf16, f32)
nk_dispatch_dense_(jsd, f16, f16, f32)
// Mesh alignment (RMSD, Kabsch, Umeyama)
nk_dispatch_mesh_(rmsd, f64, f64, f64)
nk_dispatch_mesh_(rmsd, f32, f32, f64)
nk_dispatch_mesh_(rmsd, bf16, f32, f32)
nk_dispatch_mesh_(rmsd, f16, f32, f32)
nk_dispatch_mesh_(kabsch, f64, f64, f64)
nk_dispatch_mesh_(kabsch, f32, f32, f64)
nk_dispatch_mesh_(kabsch, bf16, f32, f32)
nk_dispatch_mesh_(kabsch, f16, f32, f32)
nk_dispatch_mesh_(umeyama, f64, f64, f64)
nk_dispatch_mesh_(umeyama, f32, f32, f64)
nk_dispatch_mesh_(umeyama, bf16, f32, f32)
nk_dispatch_mesh_(umeyama, f16, f32, f32)
// Sparse sets
nk_dispatch_sparse_(sparse_intersect, u64, u64)
nk_dispatch_sparse_(sparse_intersect, u32, u32)
nk_dispatch_sparse_(sparse_intersect, u16, u16)
nk_dispatch_sparse_dot_(sparse_dot, u32, f32, f64)
nk_dispatch_sparse_dot_(sparse_dot, u16, bf16, f32)
// Element-wise operations
nk_dispatch_each_scale_(f64c, f64c)
nk_dispatch_each_scale_(f32c, f32c)
nk_dispatch_each_scale_(f64, f64)
nk_dispatch_each_scale_(f32, f32)
nk_dispatch_each_scale_(bf16, f32)
nk_dispatch_each_scale_(f16, f32)
nk_dispatch_each_scale_(e5m2, f32)
nk_dispatch_each_scale_(e4m3, f32)
nk_dispatch_each_scale_(e3m2, f32)
nk_dispatch_each_scale_(e2m3, f32)
nk_dispatch_each_scale_(i64, f64)
nk_dispatch_each_scale_(i32, f64)
nk_dispatch_each_scale_(i16, f32)
nk_dispatch_each_scale_(i8, f32)
nk_dispatch_each_scale_(u64, f64)
nk_dispatch_each_scale_(u32, f64)
nk_dispatch_each_scale_(u16, f32)
nk_dispatch_each_scale_(u8, f32)
nk_dispatch_each_sum_(f64c)
nk_dispatch_each_sum_(f32c)
nk_dispatch_each_sum_(f64)
nk_dispatch_each_sum_(f32)
nk_dispatch_each_sum_(bf16)
nk_dispatch_each_sum_(f16)
nk_dispatch_each_sum_(e5m2)
nk_dispatch_each_sum_(e4m3)
nk_dispatch_each_sum_(e3m2)
nk_dispatch_each_sum_(e2m3)
nk_dispatch_each_sum_(i64)
nk_dispatch_each_sum_(i32)
nk_dispatch_each_sum_(i16)
nk_dispatch_each_sum_(i8)
nk_dispatch_each_sum_(u64)
nk_dispatch_each_sum_(u32)
nk_dispatch_each_sum_(u16)
nk_dispatch_each_sum_(u8)
nk_dispatch_each_blend_(f64c, f64c)
nk_dispatch_each_blend_(f32c, f32c)
nk_dispatch_each_blend_(f64, f64)
nk_dispatch_each_blend_(f32, f32)
nk_dispatch_each_blend_(bf16, f32)
nk_dispatch_each_blend_(f16, f32)
nk_dispatch_each_blend_(e5m2, f32)
nk_dispatch_each_blend_(e4m3, f32)
nk_dispatch_each_blend_(e3m2, f32)
nk_dispatch_each_blend_(e2m3, f32)
nk_dispatch_each_blend_(i64, f64)
nk_dispatch_each_blend_(i32, f64)
nk_dispatch_each_blend_(i16, f32)
nk_dispatch_each_blend_(i8, f32)
nk_dispatch_each_blend_(u64, f64)
nk_dispatch_each_blend_(u32, f64)
nk_dispatch_each_blend_(u16, f32)
nk_dispatch_each_blend_(u8, f32)
nk_dispatch_each_fma_(f64c, f64c)
nk_dispatch_each_fma_(f32c, f32c)
nk_dispatch_each_fma_(f64, f64)
nk_dispatch_each_fma_(f32, f32)
nk_dispatch_each_fma_(bf16, f32)
nk_dispatch_each_fma_(f16, f32)
nk_dispatch_each_fma_(e5m2, f32)
nk_dispatch_each_fma_(e4m3, f32)
nk_dispatch_each_fma_(e3m2, f32)
nk_dispatch_each_fma_(e2m3, f32)
nk_dispatch_each_fma_(i64, f64)
nk_dispatch_each_fma_(i32, f64)
nk_dispatch_each_fma_(i16, f32)
nk_dispatch_each_fma_(i8, f32)
nk_dispatch_each_fma_(u64, f64)
nk_dispatch_each_fma_(u32, f64)
nk_dispatch_each_fma_(u16, f32)
nk_dispatch_each_fma_(u8, f32)
// Trigonometry functions
nk_dispatch_trigonometry_(sin, f64)
nk_dispatch_trigonometry_(sin, f32)
nk_dispatch_trigonometry_(sin, f16)
nk_dispatch_trigonometry_(cos, f64)
nk_dispatch_trigonometry_(cos, f32)
nk_dispatch_trigonometry_(cos, f16)
nk_dispatch_trigonometry_(atan, f64)
nk_dispatch_trigonometry_(atan, f32)
nk_dispatch_trigonometry_(atan, f16)
// Horizontal reductions: moments (sum + sum-of-squares)
nk_dispatch_reduce_moments_(f64, nk_f64_t, nk_f64_t, nk_f64_t)
nk_dispatch_reduce_moments_(f32, nk_f32_t, nk_f64_t, nk_f64_t)
nk_dispatch_reduce_moments_(bf16, nk_bf16_t, nk_f32_t, nk_f32_t)
nk_dispatch_reduce_moments_(f16, nk_f16_t, nk_f32_t, nk_f32_t)
nk_dispatch_reduce_moments_(e5m2, nk_e5m2_t, nk_f32_t, nk_f32_t)
nk_dispatch_reduce_moments_(e4m3, nk_e4m3_t, nk_f32_t, nk_f32_t)
nk_dispatch_reduce_moments_(e3m2, nk_e3m2_t, nk_f32_t, nk_f32_t)
nk_dispatch_reduce_moments_(e2m3, nk_e2m3_t, nk_f32_t, nk_f32_t)
nk_dispatch_reduce_moments_(i64, nk_i64_t, nk_i64_t, nk_u64_t)
nk_dispatch_reduce_moments_(i32, nk_i32_t, nk_i64_t, nk_u64_t)
nk_dispatch_reduce_moments_(i16, nk_i16_t, nk_i64_t, nk_u64_t)
nk_dispatch_reduce_moments_(i8, nk_i8_t, nk_i64_t, nk_u64_t)
nk_dispatch_reduce_moments_(i4, nk_i4x2_t, nk_i64_t, nk_u64_t)
nk_dispatch_reduce_moments_(u64, nk_u64_t, nk_u64_t, nk_u64_t)
nk_dispatch_reduce_moments_(u32, nk_u32_t, nk_u64_t, nk_u64_t)
nk_dispatch_reduce_moments_(u16, nk_u16_t, nk_u64_t, nk_u64_t)
nk_dispatch_reduce_moments_(u8, nk_u8_t, nk_u64_t, nk_u64_t)
nk_dispatch_reduce_moments_(u4, nk_u4x2_t, nk_u64_t, nk_u64_t)
nk_dispatch_reduce_moments_(u1, nk_u1x8_t, nk_u64_t, nk_u64_t)
// Horizontal reductions: minmax (min + max with indices)
nk_dispatch_reduce_minmax_(f64, nk_f64_t, nk_f64_t)
nk_dispatch_reduce_minmax_(f32, nk_f32_t, nk_f32_t)
nk_dispatch_reduce_minmax_(bf16, nk_bf16_t, nk_bf16_t)
nk_dispatch_reduce_minmax_(f16, nk_f16_t, nk_f16_t)
nk_dispatch_reduce_minmax_(e5m2, nk_e5m2_t, nk_e5m2_t)
nk_dispatch_reduce_minmax_(e4m3, nk_e4m3_t, nk_e4m3_t)
nk_dispatch_reduce_minmax_(e3m2, nk_e3m2_t, nk_e3m2_t)
nk_dispatch_reduce_minmax_(e2m3, nk_e2m3_t, nk_e2m3_t)
nk_dispatch_reduce_minmax_(i64, nk_i64_t, nk_i64_t)
nk_dispatch_reduce_minmax_(i32, nk_i32_t, nk_i32_t)
nk_dispatch_reduce_minmax_(i16, nk_i16_t, nk_i16_t)
nk_dispatch_reduce_minmax_(i8, nk_i8_t, nk_i8_t)
nk_dispatch_reduce_minmax_(i4, nk_i4x2_t, nk_i8_t)
nk_dispatch_reduce_minmax_(u64, nk_u64_t, nk_u64_t)
nk_dispatch_reduce_minmax_(u32, nk_u32_t, nk_u32_t)
nk_dispatch_reduce_minmax_(u16, nk_u16_t, nk_u16_t)
nk_dispatch_reduce_minmax_(u8, nk_u8_t, nk_u8_t)
nk_dispatch_reduce_minmax_(u4, nk_u4x2_t, nk_u8_t)
nk_dispatch_reduce_minmax_(u1, nk_u1x8_t, nk_u8_t)
// Dots packed sizes
nk_dispatch_cross_packed_size_(dots, f64, f64, f64)
nk_dispatch_cross_packed_size_(dots, f32, f32, f32)
nk_dispatch_cross_packed_size_(dots, bf16, bf16, f32)
nk_dispatch_cross_packed_size_(dots, f16, f16, f32)
nk_dispatch_cross_packed_size_(dots, e5m2, e5m2, f32)
nk_dispatch_cross_packed_size_(dots, e4m3, e4m3, f32)
nk_dispatch_cross_packed_size_(dots, e3m2, e3m2, f32)
nk_dispatch_cross_packed_size_(dots, e2m3, e2m3, f32)
nk_dispatch_cross_packed_size_(dots, i8, i8, i32)
nk_dispatch_cross_packed_size_(dots, i4, i4x2, i32)
nk_dispatch_cross_packed_size_(dots, u8, u8, u32)
nk_dispatch_cross_packed_size_(dots, u4, u4x2, u32)
nk_dispatch_cross_packed_size_(dots, u1, u1x8, u32)
// Dots packing
nk_dispatch_cross_pack_(dots, f64, f64, f64)
nk_dispatch_cross_pack_(dots, f32, f32, f32)
nk_dispatch_cross_pack_(dots, bf16, bf16, f32)
nk_dispatch_cross_pack_(dots, f16, f16, f32)
nk_dispatch_cross_pack_(dots, e5m2, e5m2, f32)
nk_dispatch_cross_pack_(dots, e4m3, e4m3, f32)
nk_dispatch_cross_pack_(dots, e3m2, e3m2, f32)
nk_dispatch_cross_pack_(dots, e2m3, e2m3, f32)
nk_dispatch_cross_pack_(dots, i8, i8, i32)
nk_dispatch_cross_pack_(dots, i4, i4x2, i32)
nk_dispatch_cross_pack_(dots, u8, u8, u32)
nk_dispatch_cross_pack_(dots, u4, u4x2, u32)
nk_dispatch_cross_pack_(dots, u1, u1x8, u32)
// Dots packed
nk_dispatch_cross_packed_(dots, f64, f64, f64, f64)
nk_dispatch_cross_packed_(dots, f32, f32, f32, f64)
nk_dispatch_cross_packed_(dots, bf16, bf16, f32, f32)
nk_dispatch_cross_packed_(dots, f16, f16, f32, f32)
nk_dispatch_cross_packed_(dots, e5m2, e5m2, f32, f32)
nk_dispatch_cross_packed_(dots, e4m3, e4m3, f32, f32)
nk_dispatch_cross_packed_(dots, e3m2, e3m2, f32, f32)
nk_dispatch_cross_packed_(dots, e2m3, e2m3, f32, f32)
nk_dispatch_cross_packed_(dots, i8, i8, i32, i32)
nk_dispatch_cross_packed_(dots, i4, i4x2, i32, i32)
nk_dispatch_cross_packed_(dots, u8, u8, u32, u32)
nk_dispatch_cross_packed_(dots, u4, u4x2, u32, u32)
nk_dispatch_cross_packed_(dots, u1, u1x8, u32, u32)
// Dots symmetric
nk_dispatch_cross_symmetric_(dots, f64, f64, f64)
nk_dispatch_cross_symmetric_(dots, f32, f32, f64)
nk_dispatch_cross_symmetric_(dots, bf16, bf16, f32)
nk_dispatch_cross_symmetric_(dots, f16, f16, f32)
nk_dispatch_cross_symmetric_(dots, e5m2, e5m2, f32)
nk_dispatch_cross_symmetric_(dots, e4m3, e4m3, f32)
nk_dispatch_cross_symmetric_(dots, e3m2, e3m2, f32)
nk_dispatch_cross_symmetric_(dots, e2m3, e2m3, f32)
nk_dispatch_cross_symmetric_(dots, i8, i8, i32)
nk_dispatch_cross_symmetric_(dots, i4, i4x2, i32)
nk_dispatch_cross_symmetric_(dots, u8, u8, u32)
nk_dispatch_cross_symmetric_(dots, u4, u4x2, u32)
nk_dispatch_cross_symmetric_(dots, u1, u1x8, u32)
// Sets packed
nk_dispatch_cross_packed_(hammings, u1, u1x8, u32, u32)
nk_dispatch_cross_packed_(jaccards, u1, u1x8, f32, f32)
// Sets symmetric
nk_dispatch_cross_symmetric_(hammings, u1, u1x8, u32)
nk_dispatch_cross_symmetric_(jaccards, u1, u1x8, f32)
// Angulars packed
nk_dispatch_cross_packed_(angulars, f64, f64, f64, f64)
nk_dispatch_cross_packed_(angulars, f32, f32, f32, f64)
nk_dispatch_cross_packed_(angulars, bf16, bf16, f32, f32)
nk_dispatch_cross_packed_(angulars, f16, f16, f32, f32)
nk_dispatch_cross_packed_(angulars, e5m2, e5m2, f32, f32)
nk_dispatch_cross_packed_(angulars, e4m3, e4m3, f32, f32)
nk_dispatch_cross_packed_(angulars, e3m2, e3m2, f32, f32)
nk_dispatch_cross_packed_(angulars, e2m3, e2m3, f32, f32)
nk_dispatch_cross_packed_(angulars, i8, i8, i32, f32)
nk_dispatch_cross_packed_(angulars, i4, i4x2, i32, f32)
nk_dispatch_cross_packed_(angulars, u8, u8, u32, f32)
nk_dispatch_cross_packed_(angulars, u4, u4x2, u32, f32)
// Angulars symmetric
nk_dispatch_cross_symmetric_(angulars, f64, f64, f64)
nk_dispatch_cross_symmetric_(angulars, f32, f32, f64)
nk_dispatch_cross_symmetric_(angulars, bf16, bf16, f32)
nk_dispatch_cross_symmetric_(angulars, f16, f16, f32)
nk_dispatch_cross_symmetric_(angulars, e5m2, e5m2, f32)
nk_dispatch_cross_symmetric_(angulars, e4m3, e4m3, f32)
nk_dispatch_cross_symmetric_(angulars, e3m2, e3m2, f32)
nk_dispatch_cross_symmetric_(angulars, e2m3, e2m3, f32)
nk_dispatch_cross_symmetric_(angulars, i8, i8, f32)
nk_dispatch_cross_symmetric_(angulars, i4, i4x2, f32)
nk_dispatch_cross_symmetric_(angulars, u8, u8, f32)
nk_dispatch_cross_symmetric_(angulars, u4, u4x2, f32)
// Euclideans packed
nk_dispatch_cross_packed_(euclideans, f64, f64, f64, f64)
nk_dispatch_cross_packed_(euclideans, f32, f32, f32, f64)
nk_dispatch_cross_packed_(euclideans, bf16, bf16, f32, f32)
nk_dispatch_cross_packed_(euclideans, f16, f16, f32, f32)
nk_dispatch_cross_packed_(euclideans, e5m2, e5m2, f32, f32)
nk_dispatch_cross_packed_(euclideans, e4m3, e4m3, f32, f32)
nk_dispatch_cross_packed_(euclideans, e3m2, e3m2, f32, f32)
nk_dispatch_cross_packed_(euclideans, e2m3, e2m3, f32, f32)
nk_dispatch_cross_packed_(euclideans, i8, i8, i32, f32)
nk_dispatch_cross_packed_(euclideans, i4, i4x2, i32, f32)
nk_dispatch_cross_packed_(euclideans, u8, u8, u32, f32)
nk_dispatch_cross_packed_(euclideans, u4, u4x2, u32, f32)
// Euclideans symmetric
nk_dispatch_cross_symmetric_(euclideans, f64, f64, f64)
nk_dispatch_cross_symmetric_(euclideans, f32, f32, f64)
nk_dispatch_cross_symmetric_(euclideans, bf16, bf16, f32)
nk_dispatch_cross_symmetric_(euclideans, f16, f16, f32)
nk_dispatch_cross_symmetric_(euclideans, e5m2, e5m2, f32)
nk_dispatch_cross_symmetric_(euclideans, e4m3, e4m3, f32)
nk_dispatch_cross_symmetric_(euclideans, e3m2, e3m2, f32)
nk_dispatch_cross_symmetric_(euclideans, e2m3, e2m3, f32)
nk_dispatch_cross_symmetric_(euclideans, i8, i8, f32)
nk_dispatch_cross_symmetric_(euclideans, i4, i4x2, f32)
nk_dispatch_cross_symmetric_(euclideans, u8, u8, f32)
nk_dispatch_cross_symmetric_(euclideans, u4, u4x2, f32)
// MaxSim packed sizes
nk_dispatch_cross_packed_size_(maxsim, f32, f32, f32)
nk_dispatch_cross_packed_size_(maxsim, bf16, bf16, f32)
nk_dispatch_cross_packed_size_(maxsim, f16, f16, f32)
// MaxSim packing
nk_dispatch_cross_pack_(maxsim, f32, f32, f32)
nk_dispatch_cross_pack_(maxsim, bf16, bf16, f32)
nk_dispatch_cross_pack_(maxsim, f16, f16, f32)
// MaxSim packed scoring
nk_dispatch_maxsim_packed_(f32, f64)
nk_dispatch_maxsim_packed_(bf16, f32)
nk_dispatch_maxsim_packed_(f16, f32)
NK_DYNAMIC int nk_uses_dynamic_dispatch(void) { return 1; }
NK_DYNAMIC int nk_configure_thread(nk_capability_t c) { return nk_configure_thread_(c); }
NK_DYNAMIC void nk_cast(void const *from, nk_dtype_t from_type, nk_size_t n, void *to, nk_dtype_t to_type) {
nk_dispatch_table.cast(from, from_type, n, to, to_type);
}
// Forward declarations for dtype-specific dispatch initialization functions
void nk_dispatch_f64c_init_(nk_capability_t caps);
void nk_dispatch_f32c_init_(nk_capability_t caps);
void nk_dispatch_bf16c_init_(nk_capability_t caps);
void nk_dispatch_f16c_init_(nk_capability_t caps);
void nk_dispatch_f64_init_(nk_capability_t caps);
void nk_dispatch_f32_init_(nk_capability_t caps);
void nk_dispatch_bf16_init_(nk_capability_t caps);
void nk_dispatch_f16_init_(nk_capability_t caps);
void nk_dispatch_e5m2_init_(nk_capability_t caps);
void nk_dispatch_e4m3_init_(nk_capability_t caps);
void nk_dispatch_e3m2_init_(nk_capability_t caps);
void nk_dispatch_e2m3_init_(nk_capability_t caps);
void nk_dispatch_i64_init_(nk_capability_t caps);
void nk_dispatch_i32_init_(nk_capability_t caps);
void nk_dispatch_i16_init_(nk_capability_t caps);
void nk_dispatch_i8_init_(nk_capability_t caps);
void nk_dispatch_i4_init_(nk_capability_t caps);
void nk_dispatch_u64_init_(nk_capability_t caps);
void nk_dispatch_u32_init_(nk_capability_t caps);
void nk_dispatch_u16_init_(nk_capability_t caps);
void nk_dispatch_u8_init_(nk_capability_t caps);
void nk_dispatch_u4_init_(nk_capability_t caps);
void nk_dispatch_u1_init_(nk_capability_t caps);
void nk_dispatch_cast_init_(nk_capability_t caps);
void nk_dispatch_math_init_(nk_capability_t caps);
NK_INTERNAL void nk_dispatch_table_update_implementation_(nk_capability_t caps) {
nk_dispatch_f64c_init_(caps);
nk_dispatch_f32c_init_(caps);
nk_dispatch_bf16c_init_(caps);
nk_dispatch_f16c_init_(caps);
nk_dispatch_f64_init_(caps);
nk_dispatch_f32_init_(caps);
nk_dispatch_bf16_init_(caps);
nk_dispatch_f16_init_(caps);
nk_dispatch_e5m2_init_(caps);
nk_dispatch_e4m3_init_(caps);
nk_dispatch_e3m2_init_(caps);
nk_dispatch_e2m3_init_(caps);
nk_dispatch_i64_init_(caps);
nk_dispatch_i32_init_(caps);
nk_dispatch_i16_init_(caps);
nk_dispatch_i8_init_(caps);
nk_dispatch_i4_init_(caps);
nk_dispatch_u64_init_(caps);
nk_dispatch_u32_init_(caps);
nk_dispatch_u16_init_(caps);
nk_dispatch_u8_init_(caps);
nk_dispatch_u4_init_(caps);
nk_dispatch_u1_init_(caps);
nk_dispatch_cast_init_(caps);
nk_dispatch_math_init_(caps);
}
NK_INTERNAL void nk_dispatch_table_init(void) { nk_dispatch_table_update_implementation_(nk_capabilities()); }
NK_DYNAMIC void nk_dispatch_table_update(nk_capability_t caps) { nk_dispatch_table_update_implementation_(caps); }
NK_DYNAMIC nk_capability_t nk_capabilities(void) {
//! The latency of the CPUID instruction can be over 100 cycles, so we cache the result.
static nk_capability_t static_capabilities = nk_cap_any_k;
if (static_capabilities != nk_cap_any_k) return static_capabilities;
static_capabilities = nk_capabilities_();
// Initialize the central dispatch table with the detected capabilities
nk_dispatch_table_init();
return static_capabilities;
}
NK_DYNAMIC void nk_find_kernel_punned( //
nk_kernel_kind_t kind, //
nk_dtype_t dtype, //
nk_capability_t viable, //
nk_kernel_punned_t *kernel_output, //
nk_capability_t *capability_output) {
// Modern compilers abso-freaking-lutely love optimizing-out my logic!
// Just marking the variables as `volatile` is not enough, so we have
// to add inline assembly to further discourage them!
#if defined(_MSC_VER)
_ReadWriteBarrier();
#else
__asm__ __volatile__("" ::: "memory");
#endif
nk_kernel_punned_t *m = kernel_output;
nk_capability_t *c = capability_output;
switch (dtype) {
case nk_f64c_k: nk_dispatch_f64c_find_(viable, kind, m, c); return;
case nk_f32c_k: nk_dispatch_f32c_find_(viable, kind, m, c); return;
case nk_bf16c_k: nk_dispatch_bf16c_find_(viable, kind, m, c); return;
case nk_f16c_k: nk_dispatch_f16c_find_(viable, kind, m, c); return;
case nk_f64_k: nk_dispatch_f64_find_(viable, kind, m, c); return;
case nk_f32_k: nk_dispatch_f32_find_(viable, kind, m, c); return;
case nk_bf16_k: nk_dispatch_bf16_find_(viable, kind, m, c); return;
case nk_f16_k: nk_dispatch_f16_find_(viable, kind, m, c); return;
case nk_e5m2_k: nk_dispatch_e5m2_find_(viable, kind, m, c); return;
case nk_e4m3_k: nk_dispatch_e4m3_find_(viable, kind, m, c); return;
case nk_e3m2_k: nk_dispatch_e3m2_find_(viable, kind, m, c); return;
case nk_e2m3_k: nk_dispatch_e2m3_find_(viable, kind, m, c); return;
case nk_i64_k: nk_dispatch_i64_find_(viable, kind, m, c); return;
case nk_i32_k: nk_dispatch_i32_find_(viable, kind, m, c); return;
case nk_i16_k: nk_dispatch_i16_find_(viable, kind, m, c); return;
case nk_i8_k: nk_dispatch_i8_find_(viable, kind, m, c); return;
case nk_i4_k: nk_dispatch_i4_find_(viable, kind, m, c); return;
case nk_u64_k: nk_dispatch_u64_find_(viable, kind, m, c); return;
case nk_u32_k: nk_dispatch_u32_find_(viable, kind, m, c); return;
case nk_u16_k: nk_dispatch_u16_find_(viable, kind, m, c); return;
case nk_u8_k: nk_dispatch_u8_find_(viable, kind, m, c); return;
case nk_u4_k: nk_dispatch_u4_find_(viable, kind, m, c); return;
case nk_u1_k: nk_dispatch_u1_find_(viable, kind, m, c); return;
case nk_dtype_unknown_k: nk_dispatch_cast_find_(viable, kind, m, c); return;
default: break;
}
// Replace with zeros if no suitable implementation was found
*m = (nk_kernel_punned_t)0;
*c = (nk_capability_t)0;
// Modern compilers abso-freaking-lutely love optimizing-out my logic!
// Just marking the variables as `volatile` is not enough, so we have
// to add inline assembly to further discourage them!
#if defined(_MSC_VER)
_ReadWriteBarrier();
#else
__asm__ __volatile__("" ::: "memory");
#endif
}
// Auto-initialization for dynamic libraries - ensures dispatch table is populated on library load
#if defined(__GNUC__) || defined(__clang__)
__attribute__((constructor)) static void nk_auto_init(void) {
nk_capabilities(); // Triggers dispatch table initialization
}
#elif defined(_MSC_VER)
static void nk_auto_init(void);
#pragma section(".CRT$XCU", read)
__declspec(allocate(".CRT$XCU")) static void (*nk_auto_init_ptr)(void) = nk_auto_init;
static void nk_auto_init(void) {
nk_capabilities(); // Triggers dispatch table initialization
}
#ifdef _WIN32
#include <windows.h>
BOOL WINAPI DllMain(HINSTANCE hinstDLL, DWORD fdwReason, LPVOID lpReserved) {
nk_unused_(hinstDLL);
nk_unused_(lpReserved);
if (fdwReason == DLL_PROCESS_ATTACH) nk_auto_init();
return TRUE;
}
#endif
#endif
// SME ABI runtime stubs β provide the lazy-ZA-save helpers that compiler-rt
// may not ship (e.g., Apple's toolchain). Called by compiler-generated code
// in __arm_new("za") prologues/epilogues (used by dots streaming functions).
//
// In NumKong, TPIDR2_EL0 is always null at entry because no NK_PUBLIC function
// carries ZA state. So __arm_tpidr2_save is always a no-op and
// __arm_tpidr2_restore has nothing to restore.
// Weak linkage lets a real compiler-rt override these if available.
#if NK_TARGET_ARM_ && NK_TARGET_SME
__attribute__((weak, visibility("default"))) void __arm_tpidr2_save(void) {}
__attribute__((weak, visibility("default"))) void __arm_tpidr2_restore(void *blk) { nk_unused_(blk); }
#endif
#ifdef __cplusplus
}
#endif