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This commit is contained in:
Youmu Liu
2026-06-12 18:25:04 +08:00
parent 06a119cc6f
commit 2741b34583
6 changed files with 390 additions and 164 deletions
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StgSharp.Native/sn-src/load_intrinsic.x86.c
+42 -42
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@@ -44,21 +44,21 @@ 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 = 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[F32].proc_array[Add] = GET_MK_PROC_STD(float, sse, , add);
context->mat_mk[F32].proc_array[Fill] = GET_MK_PROC_STD(float, sse, , fill);
context->mat_mk[F32].proc_array[ScalarMul] = GET_MK_PROC_STD(float, sse, , scalar_mul);
context->mat_mk[F32].proc_array[Sub] = GET_MK_PROC_STD(float, sse, , sub);
context->mat_mk[F32].proc_array[Transpose] = GET_MK_PROC_STD(float, sse, , transpose);
context->mat_mk[F32].proc_array[Fma] = GET_MK_PROC_STD(float, sse, , fma);
context->mat_mk[F32].proc_array[Pivot] = NULL;
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 = GET_MK_PROC_STD(double, sse, , fma);
context->mat_mk[F64].pivot = NULL;
context->mat_mk[F64].proc_array[Add] = GET_MK_PROC_STD(double, sse, , add);
context->mat_mk[F64].proc_array[Fill] = GET_MK_PROC_STD(double, sse, , fill);
context->mat_mk[F64].proc_array[ScalarMul] = GET_MK_PROC_STD(double, sse, , scalar_mul);
context->mat_mk[F64].proc_array[Sub] = GET_MK_PROC_STD(double, sse, , sub);
context->mat_mk[F64].proc_array[Transpose] = NULL;
context->mat_mk[F64].proc_array[Fma] = GET_MK_PROC_STD(double, sse, , fma);
context->mat_mk[F64].proc_array[Pivot] = NULL;
context->vec_f32_normalize_3 = f32_normalize;
}
@@ -71,23 +71,23 @@ 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 = 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, fma) :
context->mat_mk[F32].proc_array[Add] = GET_MK_PROC_STD(float, avx, , add);
context->mat_mk[F32].proc_array[Fill] = GET_MK_PROC_STD(float, avx, , fill);
context->mat_mk[F32].proc_array[ScalarMul] = GET_MK_PROC_STD(float, avx, , scalar_mul);
context->mat_mk[F32].proc_array[Sub] = GET_MK_PROC_STD(float, avx, , sub);
context->mat_mk[F32].proc_array[Transpose] = GET_MK_PROC_STD(float, avx, , transpose);
context->mat_mk[F32].proc_array[Fma] = is_fma ? GET_MK_PROC_STD(float, avx, _fma, fma) :
GET_MK_PROC_STD(float, avx, , fma);
context->mat_mk[F32].pivot = NULL;
context->mat_mk[F32].proc_array[Pivot] = NULL;
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 ? GET_MK_PROC_STD(double, avx, _fma, fma) :
context->mat_mk[F64].proc_array[Add] = GET_MK_PROC_STD(double, avx, , add);
context->mat_mk[F64].proc_array[Fill] = GET_MK_PROC_STD(double, avx, , fill);
context->mat_mk[F64].proc_array[ScalarMul] = GET_MK_PROC_STD(double, avx, , scalar_mul);
context->mat_mk[F64].proc_array[Sub] = GET_MK_PROC_STD(double, avx, , sub);
context->mat_mk[F64].proc_array[Transpose] = NULL;
context->mat_mk[F64].proc_array[Fma] = is_fma ? GET_MK_PROC_STD(double, avx, _fma, fma) :
GET_MK_PROC_STD(double, avx, , fma);
context->mat_mk[F64].pivot = NULL;
context->mat_mk[F64].proc_array[Pivot] = NULL;
context->vec_f32_normalize_3 = f32_normalize;
}
@@ -97,21 +97,21 @@ 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 = 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[F32].proc_array[Add] = GET_MK_PROC_STD(float, 512, , add);
context->mat_mk[F32].proc_array[Fill] = GET_MK_PROC_STD(float, 512, , fill);
context->mat_mk[F32].proc_array[ScalarMul] = GET_MK_PROC_STD(float, 512, , scalar_mul);
context->mat_mk[F32].proc_array[Sub] = GET_MK_PROC_STD(float, 512, , sub);
context->mat_mk[F32].proc_array[Transpose] = GET_MK_PROC_STD(float, 512, , transpose);
context->mat_mk[F32].proc_array[Fma] = GET_MK_PROC_STD(float, 512, , fma);
context->mat_mk[F32].proc_array[Pivot] = NULL;
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 = GET_MK_PROC_STD(double, 512, , fma);
context->mat_mk[F64].pivot = NULL;
context->mat_mk[F64].proc_array[Add] = GET_MK_PROC_STD(double, 512, , add);
context->mat_mk[F64].proc_array[Fill] = GET_MK_PROC_STD(double, 512, , fill);
context->mat_mk[F64].proc_array[ScalarMul] = GET_MK_PROC_STD(double, 512, , scalar_mul);
context->mat_mk[F64].proc_array[Sub] = GET_MK_PROC_STD(double, 512, , sub);
context->mat_mk[F64].proc_array[Transpose] = NULL;
context->mat_mk[F64].proc_array[Fma] = GET_MK_PROC_STD(double, 512, , fma);
context->mat_mk[F64].proc_array[Pivot] = NULL;
context->vec_f32_normalize_3 = f32_normalize;
}