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mat queue find solution, native supports clang

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This commit is contained in:
Youmu Liu
2026-03-27 18:14:54 +08:00
parent 06e3aa119b
commit 61303635ad
16 changed files with 373 additions and 647 deletions
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StgSharp.Native/sn-src/load_intrinsic.x86.c
+35 -35
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@@ -51,20 +51,20 @@ void load_intrinsic_sse(sn_intrinsic *context, SIMDID id)
context->city_hash_simplify = city_hash_simplify_sse;
context->factorial_simd = factorial_simd_sse;
context->mat_mk[F32].add = MK_PROC_NAME_STD(float, sse, , add);
context->mat_mk[F32].fill = MK_PROC_NAME_STD(float, sse, , fill);
context->mat_mk[F32].scalar_mul = MK_PROC_NAME_STD(float, sse, , scalar_mul);
context->mat_mk[F32].sub = MK_PROC_NAME_STD(float, sse, , sub);
context->mat_mk[F32].transpose = MK_PROC_NAME_STD(float, sse, , transpose);
context->mat_mk[F32].fma = MK_PROC_NAME_STD(float, sse, , fma);
context->mat_mk[F32].add = GET_MK_PROC_STD(float, sse, , add);
context->mat_mk[F32].fill = GET_MK_PROC_STD(float, sse, , fill);
context->mat_mk[F32].scalar_mul = GET_MK_PROC_STD(float, sse, , scalar_mul);
context->mat_mk[F32].sub = GET_MK_PROC_STD(float, sse, , sub);
context->mat_mk[F32].transpose = GET_MK_PROC_STD(float, sse, , transpose);
context->mat_mk[F32].fma = GET_MK_PROC_STD(float, sse, , fma);
context->mat_mk[F32].pivot = NULL;
context->mat_mk[F64].add = MK_PROC_NAME_STD(double, sse, , add);
context->mat_mk[F64].fill = MK_PROC_NAME_STD(double, sse, , fill);
context->mat_mk[F64].scalar_mul = MK_PROC_NAME_STD(double, sse, , scalar_mul);
context->mat_mk[F64].sub = MK_PROC_NAME_STD(double, sse, , sub);
context->mat_mk[F64].add = GET_MK_PROC_STD(double, sse, , add);
context->mat_mk[F64].fill = GET_MK_PROC_STD(double, sse, , fill);
context->mat_mk[F64].scalar_mul = GET_MK_PROC_STD(double, sse, , scalar_mul);
context->mat_mk[F64].sub = GET_MK_PROC_STD(double, sse, , sub);
context->mat_mk[F64].transpose = NULL;
context->mat_mk[F64].fma = MK_PROC_NAME_STD(double, sse, , fma);
context->mat_mk[F64].fma = GET_MK_PROC_STD(double, sse, , fma);
context->mat_mk[F64].pivot = NULL;
context->vec_f32_normalize_3 = f32_normalize;
@@ -79,22 +79,22 @@ void load_intrinsic_avx(sn_intrinsic *context, SIMDID id)
context->city_hash_simplify = city_hash_simplify_sse;
context->factorial_simd = factorial_simd_sse;
context->mat_mk[F32].add = MK_PROC_NAME_STD(float, avx, , add);
context->mat_mk[F32].fill = MK_PROC_NAME_STD(float, avx, , fill);
context->mat_mk[F32].scalar_mul = MK_PROC_NAME_STD(float, avx, , scalar_mul);
context->mat_mk[F32].sub = MK_PROC_NAME_STD(float, avx, , sub);
context->mat_mk[F32].transpose = MK_PROC_NAME_STD(float, avx, , transpose);
context->mat_mk[F32].fma = is_fma ? MK_PROC_NAME_STD(float, avx, , fma) :
MK_PROC_NAME_STD(float, avx, _fma, fma);
context->mat_mk[F32].add = GET_MK_PROC_STD(float, avx, , add);
context->mat_mk[F32].fill = GET_MK_PROC_STD(float, avx, , fill);
context->mat_mk[F32].scalar_mul = GET_MK_PROC_STD(float, avx, , scalar_mul);
context->mat_mk[F32].sub = GET_MK_PROC_STD(float, avx, , sub);
context->mat_mk[F32].transpose = GET_MK_PROC_STD(float, avx, , transpose);
context->mat_mk[F32].fma = is_fma ? GET_MK_PROC_STD(float, avx, , fma) :
GET_MK_PROC_STD(float, avx, _fma, fma);
context->mat_mk[F32].pivot = NULL;
context->mat_mk[F64].add = MK_PROC_NAME_STD(double, avx, , add);
context->mat_mk[F64].fill = MK_PROC_NAME_STD(double, avx, , fill);
context->mat_mk[F64].scalar_mul = MK_PROC_NAME_STD(double, avx, , scalar_mul);
context->mat_mk[F64].sub = MK_PROC_NAME_STD(double, avx, , sub);
context->mat_mk[F64].add = GET_MK_PROC_STD(double, avx, , add);
context->mat_mk[F64].fill = GET_MK_PROC_STD(double, avx, , fill);
context->mat_mk[F64].scalar_mul = GET_MK_PROC_STD(double, avx, , scalar_mul);
context->mat_mk[F64].sub = GET_MK_PROC_STD(double, avx, , sub);
context->mat_mk[F64].transpose = NULL;
context->mat_mk[F64].fma = is_fma ? MK_PROC_NAME_STD(double, avx, , fma) :
MK_PROC_NAME_STD(double, avx, _fma, fma);
context->mat_mk[F64].fma = is_fma ? GET_MK_PROC_STD(double, avx, , fma) :
GET_MK_PROC_STD(double, avx, _fma, fma);
context->mat_mk[F64].pivot = NULL;
context->vec_f32_normalize_3 = f32_normalize;
@@ -105,20 +105,20 @@ void load_intrinsic_512(sn_intrinsic *context, SIMDID id)
context->city_hash_simplify = city_hash_simplify_sse;
context->factorial_simd = factorial_simd_sse;
context->mat_mk[F32].add = MK_PROC_NAME_STD(float, 512, , add);
context->mat_mk[F32].fill = MK_PROC_NAME_STD(float, 512, , fill);
context->mat_mk[F32].scalar_mul = MK_PROC_NAME_STD(float, 512, , scalar_mul);
context->mat_mk[F32].sub = MK_PROC_NAME_STD(float, 512, , sub);
context->mat_mk[F32].transpose = MK_PROC_NAME_STD(float, 512, , transpose);
context->mat_mk[F32].fma = MK_PROC_NAME_STD(float, 512, , fma);
context->mat_mk[F32].add = GET_MK_PROC_STD(float, 512, , add);
context->mat_mk[F32].fill = GET_MK_PROC_STD(float, 512, , fill);
context->mat_mk[F32].scalar_mul = GET_MK_PROC_STD(float, 512, , scalar_mul);
context->mat_mk[F32].sub = GET_MK_PROC_STD(float, 512, , sub);
context->mat_mk[F32].transpose = GET_MK_PROC_STD(float, 512, , transpose);
context->mat_mk[F32].fma = GET_MK_PROC_STD(float, 512, , fma);
context->mat_mk[F32].pivot = NULL;
context->mat_mk[F64].add = MK_PROC_NAME_STD(double, 512, , add);
context->mat_mk[F64].fill = MK_PROC_NAME_STD(double, 512, , fill);
context->mat_mk[F64].scalar_mul = MK_PROC_NAME_STD(double, 512, , scalar_mul);
context->mat_mk[F64].sub = MK_PROC_NAME_STD(double, 512, , sub);
context->mat_mk[F64].add = GET_MK_PROC_STD(double, 512, , add);
context->mat_mk[F64].fill = GET_MK_PROC_STD(double, 512, , fill);
context->mat_mk[F64].scalar_mul = GET_MK_PROC_STD(double, 512, , scalar_mul);
context->mat_mk[F64].sub = GET_MK_PROC_STD(double, 512, , sub);
context->mat_mk[F64].transpose = NULL;
context->mat_mk[F64].fma = MK_PROC_NAME_STD(double, 512, , fma);
context->mat_mk[F64].fma = GET_MK_PROC_STD(double, 512, , fma);
context->mat_mk[F64].pivot = NULL;
context->vec_f32_normalize_3 = f32_normalize;